Publications

2024

1. Auvinen, A, Tammela, TLJ, Mirtti, T, Lilja, H, Tolonen, T, Kenttämies, A et al.. Prostate Cancer Screening With PSA, Kallikrein Panel, and MRI: The ProScreen Randomized Trial. JAMA. 2024; :. doi: 10.1001/jama.2024.3841. PubMed PMID:38581254 PubMed Central PMC10999002.
2. Hautamäki, M, Järvensivu-Koivunen, M, Lyytikäinen, LP, Eskola, M, Lehtimäki, T, Nikus, K et al.. The association between GRACE score at admission for myocardial infarction and the incidence of sudden cardiac arrests in long-term follow-up – the MADDEC study. Scand Cardiovasc J. 2024;58 (1):2335905. doi: 10.1080/14017431.2024.2335905. PubMed PMID:38557164 .
3. Kok, EH, Paetau, A, Martiskainen, M, Lyytikäinen, LP, Lehtimäki, T, Karhunen, P et al.. Accumulation of Lewy-Related Pathology Starts in Middle Age: The Tampere Sudden Death Study. Ann Neurol. 2024; :. doi: 10.1002/ana.26912. PubMed PMID:38501694 .
4. Nagarajan, P, Winkler, TW, Bentley, AR, Miller, CL, Kraja, AT, Schwander, K et al.. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. medRxiv. 2024; :. doi: 10.1101/2024.03.07.24303870. PubMed PMID:38496537 PubMed Central PMC10942520.
5. Kähönen, E, Kähönen, E, Pälve, K, Hulkkonen, J, Kähönen, M, Raitakari, OT et al.. Association of childhood socioeconomic status with adulthood maximal exercise blood pressure: the Cardiovascular Risk in Young Finns Study. Blood Press. 2024;33 (1):2323987. doi: 10.1080/08037051.2024.2323987. PubMed PMID:38465629 .
6. Karjalainen, MK, Karthikeyan, S, Oliver-Williams, C, Sliz, E, Allara, E, Fung, WT et al.. Genome-wide characterization of circulating metabolic biomarkers. Nature. 2024;628 (8006):130-138. doi: 10.1038/s41586-024-07148-y. PubMed PMID:38448586 PubMed Central PMC10990933.
7. Del Val, C, Díaz de la Guardia-Bolívar, E, Zwir, I, Mishra, PP, Mesa, A, Salas, R et al.. Gene expression networks regulated by human personality. Mol Psychiatry. 2024; :. doi: 10.1038/s41380-024-02484-x. PubMed PMID:38433276 .
8. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet. 2024;403 (10431):1027-1050. doi: 10.1016/S0140-6736(23)02750-2. PubMed PMID:38432237 PubMed Central PMC7615769.
9. Viinikainen, J, Böckerman, P, Willage, B, Elovainio, M, Kari, JT, Lehtimäki, T et al.. Effect of weight on depression using multiple genetic instruments. PLoS One. 2024;19 (2):e0297594. doi: 10.1371/journal.pone.0297594. PubMed PMID:38394117 PubMed Central PMC10889664.
10. Hakamaa, E, Goebeler, S, Martiskainen, M, Louhelainen, AM, Ahinko, K, Lehtimäki, T et al.. Sex differences in coronary atherosclerosis during the pre- and postmenopausal period: The Tampere Sudden Death Study. Atherosclerosis. 2024;390 :117459. doi: 10.1016/j.atherosclerosis.2024.117459. PubMed PMID:38364347 .
11. Föhr, T, Hendrix, A, Kankaanpää, A, Laakkonen, EK, Kujala, U, Pietiläinen, KH et al.. Metabolic syndrome and epigenetic aging: a twin study. Int J Obes (Lond). 2024; :. doi: 10.1038/s41366-024-01466-x. PubMed PMID:38273034 .
12. Scholz, M, Horn, K, Pott, J, Wuttke, M, Kühnapfel, A, Nasr, MK et al.. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements. Nat Commun. 2024;15 (1):586. doi: 10.1038/s41467-024-44709-1. PubMed PMID:38233393 PubMed Central PMC10794254.
13. Bradfield, JP, Kember, RL, Ulrich, A, Balkiyarova, Z, Alyass, A, Aris, IM et al.. Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes. Genome Biol. 2024;25 (1):22. doi: 10.1186/s13059-023-03136-z. PubMed PMID:38229171 PubMed Central PMC10790528.
14. Chen, S, Francioli, LC, Goodrich, JK, Collins, RL, Kanai, M, Wang, Q et al.. Author Correction: A genomic mutational constraint map using variation in 76,156 human genomes. Nature. 2024;626 (7997):E1. doi: 10.1038/s41586-024-07050-7. PubMed PMID:38225470 .
15. Lavonius, V, Keltikangas-Järvinen, L, Hamal Mishra, B, Sormunen, E, Kähönen, M, Raitakari, O et al.. Polygenic risk for depression predicting temperament trajectories over 15 years – A general population study. J Affect Disord. 2024;350 :388-395. doi: 10.1016/j.jad.2024.01.093. PubMed PMID:38218259 .
16. Verhoef, E, Allegrini, AG, Jansen, PR, Lange, K, Wang, CA, Morgan, AT et al.. Genome-Wide Analyses of Vocabulary Size in Infancy and Toddlerhood: Associations With Attention-Deficit/Hyperactivity Disorder, Literacy, and Cognition-Related Traits. Biol Psychiatry. 2024;95 (9):859-869. doi: 10.1016/j.biopsych.2023.11.025. PubMed PMID:38070845 .
17. Chen, S, Francioli, LC, Goodrich, JK, Collins, RL, Kanai, M, Wang, Q et al.. A genomic mutational constraint map using variation in 76,156 human genomes. Nature. 2024;625 (7993):92-100. doi: 10.1038/s41586-023-06045-0. PubMed PMID:38057664 .
18. Guo, MH, Francioli, LC, Stenton, SL, Goodrich, JK, Watts, NA, Singer-Berk, M et al.. Inferring compound heterozygosity from large-scale exome sequencing data. Nat Genet. 2024;56 (1):152-161. doi: 10.1038/s41588-023-01608-3. PubMed PMID:38057443 PubMed Central PMC10872287.
19. Saarinen, A, Marttila, S, Mishra, PP, Lyytikäinen, LP, Raitoharju, E, Mononen, N et al.. Polygenic risk for schizophrenia, social dispositions, and pace of epigenetic aging: Results from the Young Finns Study. Aging Cell. 2024;23 (3):e14052. doi: 10.1111/acel.14052. PubMed PMID:38031635 PubMed Central PMC10928579.
20. Li, T, Ihanus, A, Ohukainen, P, Järvelin, MR, Kähönen, M, Kettunen, J et al.. Clinical and biochemical associations of urinary metabolites: quantitative epidemiological approach on renal-cardiometabolic biomarkers. Int J Epidemiol. 2024;53 (1):. doi: 10.1093/ije/dyad162. PubMed PMID:38030573 PubMed Central PMC10859141.
21. Petito, LC, McCabe, ME, Pool, LR, Krefman, AE, Perak, AM, Marino, BS et al.. A Proposed Pediatric Clinical Cardiovascular Health Reference Standard. Am J Prev Med. 2024;66 (2):216-225. doi: 10.1016/j.amepre.2023.09.019. PubMed PMID:37751803 .
22. Salminen, SP, Solismaa, A, Lyytikäinen, LP, Paavonen, V, Mononen, N, Lehtimäki, T et al.. Genetic risk scores associated with temperament clusters in Finnish depression patients. Acta Neuropsychiatr. 2024;36 (1):51-59. doi: 10.1017/neu.2023.33. PubMed PMID:37665031 .
23. Harville, EW, Hakala, JO, Rovio, SP, Pahkala, K, Raitakari, O, Lehtimäki, T et al.. Trajectories of cardiovascular risk predict pregnancy outcomes: The Bogalusa Heart Study and the Cardiovascular Risk in Young Finns Study. Paediatr Perinat Epidemiol. 2024;38 (3):168-179. doi: 10.1111/ppe.12995. PubMed PMID:37432549 PubMed Central PMC10782826.

Search PubMed

2023

1. Verhoef, E, Allegrini, AG, Jansen, PR, Lange, K, Wang, CA, Morgan, AT et al.. Genome-Wide Analyses of Vocabulary Size in Infancy and Toddlerhood: Associations With Attention-Deficit/Hyperactivity Disorder, Literacy, and Cognition-Related Traits. Biol Psychiatry. 2024;95 (9):859-869. doi: 10.1016/j.biopsych.2023.11.025. PubMed PMID:38070845 .
2. Chen, S, Francioli, LC, Goodrich, JK, Collins, RL, Kanai, M, Wang, Q et al.. A genomic mutational constraint map using variation in 76,156 human genomes. Nature. 2024;625 (7993):92-100. doi: 10.1038/s41586-023-06045-0. PubMed PMID:38057664 .
3. Guo, MH, Francioli, LC, Stenton, SL, Goodrich, JK, Watts, NA, Singer-Berk, M et al.. Inferring compound heterozygosity from large-scale exome sequencing data. Nat Genet. 2024;56 (1):152-161. doi: 10.1038/s41588-023-01608-3. PubMed PMID:38057443 PubMed Central PMC10872287.
4. Saarinen, A, Hietala, J, Lyytikäinen, LP, Hamal Mishra, B, Sormunen, E, Lavonius, V et al.. Polygenic risk for schizophrenia predicting social trajectories in a general population sample. Psychol Med. 2023; :1-9. doi: 10.1017/S003329172300346X. PubMed PMID:38047377 .
5. Saarinen, A, Marttila, S, Mishra, PP, Lyytikäinen, LP, Raitoharju, E, Mononen, N et al.. Polygenic risk for schizophrenia, social dispositions, and pace of epigenetic aging: Results from the Young Finns Study. Aging Cell. 2024;23 (3):e14052. doi: 10.1111/acel.14052. PubMed PMID:38031635 PubMed Central PMC10928579.
6. de Las Fuentes, L, Schwander, KL, Brown, MR, Bentley, AR, Winkler, TW, Sung, YJ et al.. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci. Front Genet. 2023;14 :1235337. doi: 10.3389/fgene.2023.1235337. PubMed PMID:38028628 PubMed Central PMC10651736.
7. Lau, CE, Manou, M, Markozannes, G, Ala-Korpela, M, Ben-Shlomo, Y, Chaturvedi, N et al.. NMR metabolomic modelling of age and lifespan: a multi-cohort analysis. medRxiv. 2023; :. doi: 10.1101/2023.11.07.23298200. PubMed PMID:37986811 PubMed Central PMC10659522.
8. Patrakka, O, Tuomisto, S, Pienimäki, JP, Ollikainen, J, Oksala, N, Lampinen, V et al.. Thrombus Aspirates From Patients With Acute Ischemic Stroke Are Infiltrated by Viridans Streptococci. J Am Heart Assoc. 2023;12 (22):e030639. doi: 10.1161/JAHA.123.030639. PubMed PMID:37982253 PubMed Central PMC10727284.
9. NCD Risk Factor Collaboration (NCD-RisC). Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c. Nat Med. 2023;29 (11):2885-2901. doi: 10.1038/s41591-023-02610-2. PubMed PMID:37946056 PubMed Central PMC10667106.
10. Kavousi, M, Bos, MM, Barnes, HJ, Lino Cardenas, CL, Wong, D, Lu, H et al.. Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification. Nat Genet. 2023;55 (10):1651-1664. doi: 10.1038/s41588-023-01518-4. PubMed PMID:37770635 PubMed Central PMC10601987.
11. Petito, LC, McCabe, ME, Pool, LR, Krefman, AE, Perak, AM, Marino, BS et al.. A Proposed Pediatric Clinical Cardiovascular Health Reference Standard. Am J Prev Med. 2024;66 (2):216-225. doi: 10.1016/j.amepre.2023.09.019. PubMed PMID:37751803 .
12. Shrine, N, Izquierdo, AG, Chen, J, Packer, R, Hall, RJ, Guyatt, AL et al.. Author Correction: Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk. Nat Genet. 2023;55 (10):1778-1779. doi: 10.1038/s41588-023-01531-7. PubMed PMID:37749248 PubMed Central PMC10562210.
13. Salminen, SP, Solismaa, A, Lyytikäinen, LP, Paavonen, V, Mononen, N, Lehtimäki, T et al.. Genetic risk scores associated with temperament clusters in Finnish depression patients. Acta Neuropsychiatr. 2024;36 (1):51-59. doi: 10.1017/neu.2023.33. PubMed PMID:37665031 .
14. van de Vegte, YJ, Eppinga, RN, van der Ende, MY, Hagemeijer, YP, Mahendran, Y, Salfati, E et al.. Genetic insights into resting heart rate and its role in cardiovascular disease. Nat Commun. 2023;14 (1):4646. doi: 10.1038/s41467-023-39521-2. PubMed PMID:37532724 PubMed Central PMC10397318.
15. Saarinen, A, Hietala, J, Lyytikäinen, LP, Hamal Mishra, B, Sormunen, E, Kähönen, M et al.. Polygenic liabilities underlying job stress and exhaustion over a 10-year follow-up: A general population study. Psychiatry Res. 2023;326 :115355. doi: 10.1016/j.psychres.2023.115355. PubMed PMID:37487461 .
16. Korpimäki, S, Rovio, SP, Juonala, M, Hutri-Kähönen, N, Lehtimäki, T, Laitinen, TP et al.. Nonalcoholic Fatty Liver Disease Incidence and Remission and Their Predictors During 7 Years of Follow-up Among Finns. J Clin Endocrinol Metab. 2023;109 (1):e291-e305. doi: 10.1210/clinem/dgad418. PubMed PMID:37463486 PubMed Central PMC10735312.
17. He, Q, Wang, W, Xiong, Y, Tao, C, Ma, L, Ma, J et al.. A causal effects of gut microbiota in the development of migraine. J Headache Pain. 2023;24 (1):90. doi: 10.1186/s10194-023-01609-x. PubMed PMID:37460956 PubMed Central PMC10353251.
18. Krämer, RM, Moissl, AP, Lorkowski, S, Krämer, BK, Lehtimäki, T, Mishra, BH et al.. High genetic risk for depression as an independent risk factor for mortality in patients referred for coronary angiography. Front Cardiovasc Med. 2023;10 :1125151. doi: 10.3389/fcvm.2023.1125151. PubMed PMID:37435051 PubMed Central PMC10330785.
19. Harville, EW, Hakala, JO, Rovio, SP, Pahkala, K, Raitakari, O, Lehtimäki, T et al.. Trajectories of cardiovascular risk predict pregnancy outcomes: The Bogalusa Heart Study and the Cardiovascular Risk in Young Finns Study. Paediatr Perinat Epidemiol. 2024;38 (3):168-179. doi: 10.1111/ppe.12995. PubMed PMID:37432549 PubMed Central PMC10782826.
20. Hurskainen, M, Tynkkynen, J, Eskola, M, Lehtimäki, T, Hernesniemi, J. Risk Factors for Ischemic Stroke After Acute Coronary Syndrome. J Am Heart Assoc. 2023;12 (14):e028787. doi: 10.1161/JAHA.122.028787. PubMed PMID:37421266 PubMed Central PMC10382101.
21. Saarinen, A, Keltikangas-Järvinen, L, Dobewall, H, Sormunen, E, Lehtimäki, T, Kähönen, M et al.. Childhood family environment predicting psychotic disorders over a 37-year follow-up – A general population cohort study. Schizophr Res. 2023;258 :9-17. doi: 10.1016/j.schres.2023.06.008. PubMed PMID:37392583 .
22. Zhang, W, Zhang, L, Yang, L, Xiao, C, Wu, X, Yan, P et al.. Migraine, chronic kidney disease and kidney function: observational and genetic analyses. Hum Genet. 2023;142 (8):1185-1200. doi: 10.1007/s00439-023-02575-9. PubMed PMID:37306871 PubMed Central PMC10449948.
23. Kähönen, E, Korpimäki, S, Juonala, M, Kähönen, M, Lehtimäki, T, Hutri-Kähönen, N et al.. Neighbourhood deprivation in childhood and adulthood and risk of arterial stiffness: the Cardiovascular Risk in Young Finns study. Blood Press. 2023;32 (1):2220037. doi: 10.1080/08037051.2023.2220037. PubMed PMID:37300298 .
24. Graham, SE, Clarke, SL, Wu, KH, Kanoni, S, Zajac, GJM, Ramdas, S et al.. Author Correction: The power of genetic diversity in genome-wide association studies of lipids. Nature. 2023;618 (7965):E19-E20. doi: 10.1038/s41586-023-06194-2. PubMed PMID:37237109 PubMed Central PMC10355188.
25. Keshawarz, A, Joehanes, R, Ma, J, Lee, GY, Costeira, R, Tsai, PC et al.. Dietary and supplemental intake of vitamins C and E is associated with altered DNA methylation in an epigenome-wide association study meta-analysis. Epigenetics. 2023;18 (1):2211361. doi: 10.1080/15592294.2023.2211361. PubMed PMID:37233989 PubMed Central PMC10228397.
26. Mishra, PP, Mishra, BH, Raitoharju, E, Mononen, N, Viikari, J, Juonala, M et al.. Gene Set Based Integrated Methylome and Transcriptome Analysis Reveals Potential Molecular Mechanisms Linking Cigarette Smoking and Related Diseases. OMICS. 2023;27 (5):193-204. doi: 10.1089/omi.2023.0028. PubMed PMID:37145884 PubMed Central PMC10254975.
27. Dobewall, H, Keltikangas-Järvinen, L, Marttila, S, Mishra, PP, Saarinen, A, Cloninger, CR et al.. The relationship of trait-like compassion with epigenetic aging: The population-based prospective Young Finns Study. Front Psychiatry. 2023;14 :1018797. doi: 10.3389/fpsyt.2023.1018797. PubMed PMID:37143783 PubMed Central PMC10151573.
28. Örd, T, Lönnberg, T, Nurminen, V, Ravindran, A, Niskanen, H, Kiema, M et al.. Dissecting the polygenic basis of atherosclerosis via disease-associated cell state signatures. Am J Hum Genet. 2023;110 (5):722-740. doi: 10.1016/j.ajhg.2023.03.013. PubMed PMID:37060905 PubMed Central PMC10183377.
29. Clark, R, Lee, SS, Du, R, Wang, Y, Kneepkens, SCM, Charng, J et al.. A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration. EBioMedicine. 2023;91 :104551. doi: 10.1016/j.ebiom.2023.104551. PubMed PMID:37055258 PubMed Central PMC10203044.
30. NCD Risk Factor Collaboration (NCD-RisC). Diminishing benefits of urban living for children and adolescents’ growth and development. Nature. 2023;615 (7954):874-883. doi: 10.1038/s41586-023-05772-8. PubMed PMID:36991188 PubMed Central PMC10060164.
31. Ketvel, L, Keltikangas-Järvinen, L, Pahkala, K, Juonala, M, Ahola-Olli, A, Lehtimäki, T et al.. Stress-Related Exhaustion, Polygenic Cognitive Potential, and Cognitive Test Performance – A General Population Study. Cognit Ther Res. 2023;47 (2):155-167. doi: 10.1007/s10608-023-10354-z. PubMed PMID:36945257 PubMed Central PMC10023621.
32. Karhunen, V, Gill, D, Huang, J, Bouras, E, Malik, R, Ponsford, MJ et al.. The interplay between inflammatory cytokines and cardiometabolic disease: bi-directional mendelian randomisation study. BMJ Med. 2023;2 (1):e000157. doi: 10.1136/bmjmed-2022-000157. PubMed PMID:36936266 PubMed Central PMC9978757.
33. Koskinen, JS, Kytö, V, Juonala, M, Viikari, JSA, Nevalainen, J, Kähönen, M et al.. Childhood Dyslipidemia and Carotid Atherosclerotic Plaque in Adulthood: The Cardiovascular Risk in Young Finns Study. J Am Heart Assoc. 2023;12 (7):e027586. doi: 10.1161/JAHA.122.027586. PubMed PMID:36927037 PubMed Central PMC10122878.
34. Shrine, N, Izquierdo, AG, Chen, J, Packer, R, Hall, RJ, Guyatt, AL et al.. Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk. Nat Genet. 2023;55 (3):410-422. doi: 10.1038/s41588-023-01314-0. PubMed PMID:36914875 PubMed Central PMC10011137.
35. Dai, Q, Zhou, G, Zhao, H, Võsa, U, Franke, L, Battle, A et al.. OTTERS: a powerful TWAS framework leveraging summary-level reference data. Nat Commun. 2023;14 (1):1271. doi: 10.1038/s41467-023-36862-w. PubMed PMID:36882394 PubMed Central PMC9992663.
36. Mäkinen, VP, Kettunen, J, Lehtimäki, T, Kähönen, M, Viikari, J, Perola, M et al.. Longitudinal metabolomics of increasing body-mass index and waist-hip ratio reveals two dynamic patterns of obesity pandemic. Int J Obes (Lond). 2023;47 (6):453-462. doi: 10.1038/s41366-023-01281-w. PubMed PMID:36823293 PubMed Central PMC10212764.
37. Lehtimäki, M, Mishra, BH, Del-Val, C, Lyytikäinen, LP, Kähönen, M, Cloninger, CR et al.. Uncovering the complex genetic architecture of human plasma lipidome using machine learning methods. Sci Rep. 2023;13 (1):3078. doi: 10.1038/s41598-023-30168-z. PubMed PMID:36813803 PubMed Central PMC9947228.
38. Zhao, L, Zhao, W, International Headache Genetics Consortium (IHGC), Cao, J, Tu, Y. Causal relationships between migraine and microstructural white matter: a Mendelian randomization study. J Headache Pain. 2023;24 (1):10. doi: 10.1186/s10194-023-01550-z. PubMed PMID:36793015 PubMed Central PMC9933315.
39. Aanes, H, Bleka, Ø, Dahlberg, PS, Carm, KT, Lehtimäki, T, Raitakari, O et al.. A new blood based epigenetic age predictor for adolescents and young adults. Sci Rep. 2023;13 (1):2303. doi: 10.1038/s41598-023-29381-7. PubMed PMID:36759656 PubMed Central PMC9911637.
40. Welander, NZ, Rukh, G, Rask-Andersen, M, Harder, AVE, International Headache Genetics Consortium, van den Maagdenberg, AMJM et al.. Migraine, inflammatory bowel disease and celiac disease: A Mendelian randomization study. Headache. 2023;63 (5):642-651. doi: 10.1111/head.14470. PubMed PMID:36705326 .
41. Ala-Korpela, M, Lehtimäki, T, Kähönen, M, Viikari, J, Perola, M, Salomaa, V et al.. Cross-sectionally Calculated Metabolic Aging Does Not Relate to Longitudinal Metabolic Changes-Support for Stratified Aging Models. J Clin Endocrinol Metab. 2023;108 (8):2099-2104. doi: 10.1210/clinem/dgad032. PubMed PMID:36658689 PubMed Central PMC10348460.
42. Bakker, MK, Kanning, JP, Abraham, G, Martinsen, AE, Winsvold, BS, Zwart, JA et al.. Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity. Stroke. 2023;54 (3):810-818. doi: 10.1161/STROKEAHA.122.040715. PubMed PMID:36655558 PubMed Central PMC9951795.
43. Elhakeem, A, Ronkainen, J, Mansell, T, Lange, K, Mikkola, TM, Mishra, BH et al.. Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study. BMC Med. 2023;21 (1):23. doi: 10.1186/s12916-022-02711-8. PubMed PMID:36653824 PubMed Central PMC9850719.
44. Leinonen, JT, Mars, N, Lehtonen, LE, Ahola-Olli, A, Ruotsalainen, S, Lehtimäki, T et al.. Genetic analyses implicate complex links between adult testosterone levels and health and disease. Commun Med (Lond). 2023;3 (1):4. doi: 10.1038/s43856-022-00226-0. PubMed PMID:36653534 PubMed Central PMC9849476.
45. Musolf, AM, Haarman, AEG, Luben, RN, Ong, JS, Patasova, K, Trapero, RH et al.. Rare variant analyses across multiethnic cohorts identify novel genes for refractive error. Commun Biol. 2023;6 (1):6. doi: 10.1038/s42003-022-04323-7. PubMed PMID:36596879 PubMed Central PMC9810640.
46. Palomäki, S, Kukko, T, Kaseva, K, Salin, K, Lounassalo, I, Yang, X et al.. Parenthood and changes in physical activity from early adulthood to mid-life among Finnish adults. Scand J Med Sci Sports. 2023;33 (5):682-692. doi: 10.1111/sms.14293. PubMed PMID:36577693 .
47. Nurmi, A, Pulkki-Råback, L, Salo, P, Pahkala, K, Juonala, M, Hutri-Kähönen, N et al.. The associations of childhood psychosocial factors with cognitive function in midlife-The young finns study. Neuropsychology. 2023;37 (1):64-76. doi: 10.1037/neu0000877. PubMed PMID:36395062 .
48. Huang, J, Su, B, Karhunen, V, Gill, D, Zuber, V, Ahola-Olli, A et al.. Inflammatory Diseases, Inflammatory Biomarkers, and Alzheimer Disease: An Observational Analysis and Mendelian Randomization. Neurology. 2023;100 (6):e568-e581. doi: 10.1212/WNL.0000000000201489. PubMed PMID:36384659 PubMed Central PMC9946179.
49. Kananen, L, Hurme, M, Bürkle, A, Moreno-Villanueva, M, Bernhardt, J, Debacq-Chainiaux, F et al.. Circulating cell-free DNA in health and disease – the relationship to health behaviours, ageing phenotypes and metabolomics. Geroscience. 2023;45 (1):85-103. doi: 10.1007/s11357-022-00590-8. PubMed PMID:35864375 PubMed Central PMC9886738.
50. Guyatt, A, John, C, Williams, AT, Shrine, N, Reeve, NF, SpiroMeta consortium et al.. Mendelian randomisation of eosinophils and other cell types in relation to lung function and disease. Thorax. 2023;78 (5):496-503. doi: 10.1136/thoraxjnl-2021-217993. PubMed PMID:35537820 PubMed Central PMC10176352.

Search PubMed

2022

1. Kanoni, S, Graham, SE, Wang, Y, Surakka, I, Ramdas, S, Zhu, X et al.. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis. Genome Biol. 2022;23 (1):268. doi: 10.1186/s13059-022-02837-1. PubMed PMID:36575460 PubMed Central PMC9793579.
2. Nikkola, A, Mäkelä, KA, Herzig, KH, Mutt, SJ, Prasannan, A, Seppänen, H et al.. Pancreatic Secretory Trypsin Inhibitor (SPINK1) Gene Mutation in Patients with Acute Alcohol Pancreatitis (AAP) Compared to Healthy Controls and Heavy Alcohol Users without Pancreatitis. Int J Mol Sci. 2022;23 (24):. doi: 10.3390/ijms232415726. PubMed PMID:36555366 PubMed Central PMC9778821.
3. Nurmi, A, Pulkki-Råback, L, Salo, P, Pahkala, K, Juonala, M, Hutri-Kähönen, N et al.. The associations of childhood psychosocial factors with cognitive function in midlife-The young finns study. Neuropsychology. 2023;37 (1):64-76. doi: 10.1037/neu0000877. PubMed PMID:36395062 .
4. Huang, J, Su, B, Karhunen, V, Gill, D, Zuber, V, Ahola-Olli, A et al.. Inflammatory Diseases, Inflammatory Biomarkers, and Alzheimer Disease: An Observational Analysis and Mendelian Randomization. Neurology. 2023;100 (6):e568-e581. doi: 10.1212/WNL.0000000000201489. PubMed PMID:36384659 PubMed Central PMC9946179.
5. Mishra, BH, Sievänen, H, Raitoharju, E, Mononen, N, Viikari, J, Juonala, M et al.. Gene set analysis of transcriptomics data identifies new biological processes associated with early markers of atherosclerosis but not with those of osteoporosis: Atherosclerosis-osteoporosis co/multimorbidity study in the Young Finns Study. Atherosclerosis. 2022;361 :1-9. doi: 10.1016/j.atherosclerosis.2022.10.005. PubMed PMID:36252457 .
6. Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S et al.. A saturated map of common genetic variants associated with human height. Nature. 2022;610 (7933):704-712. doi: 10.1038/s41586-022-05275-y. PubMed PMID:36224396 PubMed Central PMC9605867.
7. Marttila, S, Tamminen, H, Rajić, S, Mishra, PP, Lehtimäki, T, Raitakari, O et al.. Methylation status of / is stable across populations, monozygotic twin pairs and in majority of tissues. Epigenomics. 2022;14 (18):1105-1124. doi: 10.2217/epi-2022-0228. PubMed PMID:36200237 .
8. Vistbakka, J, Sumelahti, ML, Lehtimäki, T, Hagman, S. Temporal variability of serum miR-191, miR-223, miR-128, and miR-24 in multiple sclerosis: A 4-year follow-up study. J Neurol Sci. 2022;442 :120395. doi: 10.1016/j.jns.2022.120395. PubMed PMID:36084364 .
9. Wang, Z, Emmerich, A, Pillon, NJ, Moore, T, Hemerich, D, Cornelis, MC et al.. Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention. Nat Genet. 2022;54 (9):1332-1344. doi: 10.1038/s41588-022-01165-1. PubMed PMID:36071172 PubMed Central PMC9470530.
10. Young, WJ, Lahrouchi, N, Isaacs, A, Duong, T, Foco, L, Ahmed, F et al.. Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways. Nat Commun. 2022;13 (1):5144. doi: 10.1038/s41467-022-32821-z. PubMed PMID:36050321 PubMed Central PMC9436946.
11. Saarinen, A, Keltikangas-Järvinen, L, Dobewall, H, Cloninger, CR, Ahola-Olli, A, Lehtimäki, T et al.. Does social intolerance vary according to cognitive styles, genetic cognitive capacity, or education?. Brain Behav. 2022;12 (9):e2704. doi: 10.1002/brb3.2704. PubMed PMID:36047482 PubMed Central PMC9480910.
12. Neumann, A, Nolte, IM, Pappa, I, Ahluwalia, TS, Pettersson, E, Rodriguez, A et al.. A genome-wide association study of total child psychiatric problems scores. PLoS One. 2022;17 (8):e0273116. doi: 10.1371/journal.pone.0273116. PubMed PMID:35994476 PubMed Central PMC9394806.
13. Fu, JM, Satterstrom, FK, Peng, M, Brand, H, Collins, RL, Dong, S et al.. Rare coding variation provides insight into the genetic architecture and phenotypic context of autism. Nat Genet. 2022;54 (9):1320-1331. doi: 10.1038/s41588-022-01104-0. PubMed PMID:35982160 PubMed Central PMC9653013.
14. Ruotsalainen, SE, Surakka, I, Mars, N, Karjalainen, J, Kurki, M, Kanai, M et al.. Inframe insertion and splice site variants in MFGE8 associate with protection against coronary atherosclerosis. Commun Biol. 2022;5 (1):802. doi: 10.1038/s42003-022-03552-0. PubMed PMID:35978133 PubMed Central PMC9385630.
15. Raitakari, O, Kivelä, A, Pahkala, K, Rovio, S, Mykkänen, J, Ahola-Olli, A et al.. Long-term tracking and population characteristics of lipoprotein (a) in the Cardiovascular Risk in Young Finns Study. Atherosclerosis. 2022;356 :18-27. doi: 10.1016/j.atherosclerosis.2022.07.009. PubMed PMID:35961208 .
16. Ramdas, S, Judd, J, Graham, SE, Kanoni, S, Wang, Y, Surakka, I et al.. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids. Am J Hum Genet. 2022;109 (8):1366-1387. doi: 10.1016/j.ajhg.2022.06.012. PubMed PMID:35931049 PubMed Central PMC9388392.
17. Kananen, L, Hurme, M, Bürkle, A, Moreno-Villanueva, M, Bernhardt, J, Debacq-Chainiaux, F et al.. Circulating cell-free DNA in health and disease – the relationship to health behaviours, ageing phenotypes and metabolomics. Geroscience. 2023;45 (1):85-103. doi: 10.1007/s11357-022-00590-8. PubMed PMID:35864375 PubMed Central PMC9886738.
18. Nurminen, J, Pérez-Riera, AR, de Luna, AB, Nikus, K, Lyytikäinen, LP, Huhtala, H et al.. The S1S2S3 electrocardiographic pattern – Prevalence and relation to cardiovascular and pulmonary diseases in the general population. J Electrocardiol. 2022;73 :113-119. doi: 10.1016/j.jelectrocard.2022.07.003. PubMed PMID:35839706 .
19. Schillemans, T, Tragante, V, Maitusong, B, Gigante, B, Cresci, S, Laguzzi, F et al.. Associations of Polymorphisms in the Peroxisome Proliferator-Activated Receptor Gamma Coactivator-1 Alpha Gene With Subsequent Coronary Heart Disease: An Individual-Level Meta-Analysis. Front Physiol. 2022;13 :909870. doi: 10.3389/fphys.2022.909870. PubMed PMID:35812313 PubMed Central PMC9260705.
20. Mitchell, BL, Diaz-Torres, S, Bivol, S, Cuellar-Partida, G, International Headache Genetics Consortium, Gerring, ZF et al.. Elucidating the relationship between migraine risk and brain structure using genetic data. Brain. 2022;145 (9):3214-3224. doi: 10.1093/brain/awac105. PubMed PMID:35735024 .
21. Danielsson, O, Nano, J, Pahkala, K, Rospleszcz, S, Lehtimäki, T, Schlett, CL et al.. Validity of fatty liver disease indices in the presence of alcohol consumption. Scand J Gastroenterol. 2022;57 (11):1349-1360. doi: 10.1080/00365521.2022.2085060. PubMed PMID:35723012 .
22. Gorski, M, Rasheed, H, Teumer, A, Thomas, LF, Graham, SE, Sveinbjornsson, G et al.. Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies. Kidney Int. 2022;102 (3):624-639. doi: 10.1016/j.kint.2022.05.021. PubMed PMID:35716955 PubMed Central PMC10034922.
23. Lundgren, S, Kuitunen, S, Pietiläinen, KH, Hurme, M, Kähönen, M, Männistö, S et al.. BMI is positively associated with accelerated epigenetic aging in twin pairs discordant for body mass index. J Intern Med. 2022;292 (4):627-640. doi: 10.1111/joim.13528. PubMed PMID:35699258 PubMed Central PMC9540898.
24. Winkler, TW, Rasheed, H, Teumer, A, Gorski, M, Rowan, BX, Stanzick, KJ et al.. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals. Commun Biol. 2022;5 (1):580. doi: 10.1038/s42003-022-03448-z. PubMed PMID:35697829 PubMed Central PMC9192715.
25. Viinikainen, J, Böckerman, P, Hakulinen, C, Kari, JT, Lehtimäki, T, Raitakari, OT et al.. Schizophrenia polygenic risk score and long-term success in the labour market: A cohort study. J Psychiatr Res. 2022;151 :638-641. doi: 10.1016/j.jpsychires.2022.05.041. PubMed PMID:35661520 .
26. Beyene, SD, Nikus, KC, Lehtimäki, TJ, Kähönen, MAP, Viik, JJ. Evaluation of the QRS score for diagnosing coronary artery disease in women: A Finnish cardiovascular study. Ann Noninvasive Electrocardiol. 2022;27 (4):e12968. doi: 10.1111/anec.12968. PubMed PMID:35580147 PubMed Central PMC9296785.
27. Wu, F, Ahola-Olli, A, Pahkala, K, Hakala, JO, Juonala, M, Salo, P et al.. Risk Factor Profile in Youth, Genetic Risk, and Adulthood Cognitive Function: The Cardiovascular Risk in Young Finns Study. Neuroepidemiology. 2022;56 (3):201-211. doi: 10.1159/000524986. PubMed PMID:35552281 .
28. Guyatt, A, John, C, Williams, AT, Shrine, N, Reeve, NF, SpiroMeta consortium et al.. Mendelian randomisation of eosinophils and other cell types in relation to lung function and disease. Thorax. 2023;78 (5):496-503. doi: 10.1136/thoraxjnl-2021-217993. PubMed PMID:35537820 PubMed Central PMC10176352.
29. Istolahti, T, Eranti, A, Huhtala, H, Tynkkynen, J, Lyytikäinen, LP, Kähönen, M et al.. Interatrial block and P terminal force in the general population – Longitudinal changes, risk factors and prognosis. J Electrocardiol. 2022;73 :12-20. doi: 10.1016/j.jelectrocard.2022.04.006. PubMed PMID:35533410 .
30. Saarinen, A, Lyytikäinen, LP, Hietala, J, Dobewall, H, Lavonius, V, Raitakari, O et al.. Magical thinking in individuals with high polygenic risk for schizophrenia but no non-affective psychoses-a general population study. Mol Psychiatry. 2022;27 (8):3286-3293. doi: 10.1038/s41380-022-01581-z. PubMed PMID:35505089 PubMed Central PMC9708578.
31. Wielscher, M, Mandaviya, PR, Kuehnel, B, Joehanes, R, Mustafa, R, Robinson, O et al.. DNA methylation signature of chronic low-grade inflammation and its role in cardio-respiratory diseases. Nat Commun. 2022;13 (1):2408. doi: 10.1038/s41467-022-29792-6. PubMed PMID:35504910 PubMed Central PMC9065016.
32. Siltari, A, Riikonen, J, Koskimäki, J, Pakarainen, T, Ettala, O, Boström, P et al.. Randomised double-blind phase 3 clinical study testing impact of atorvastatin on prostate cancer progression after initiation of androgen deprivation therapy: study protocol. BMJ Open. 2022;12 (4):e050264. doi: 10.1136/bmjopen-2021-050264. PubMed PMID:35487730 PubMed Central PMC9058683.
33. Mäkinen, VP, Karsikas, M, Kettunen, J, Lehtimäki, T, Kähönen, M, Viikari, J et al.. Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults. Int J Epidemiol. 2022;51 (6):1970-1983. doi: 10.1093/ije/dyac062. PubMed PMID:35441226 .
34. Hakala, JO, Pahkala, K, Juonala, M, Salo, P, Kähönen, M, Hutri-Kähönen, N et al.. Repeatedly Measured Serum Creatinine and Cognitive Performance in Midlife: The Cardiovascular Risk in Young Finns Study. Neurology. 2022;98 (22):e2268-e2281. doi: 10.1212/WNL.0000000000200268. PubMed PMID:35410906 .
35. Cheng, Y, Li, Y, Scherer, N, Grundner-Culemann, F, Lehtimäki, T, Mishra, BH et al.. Genetics of osteopontin in patients with chronic kidney disease: The German Chronic Kidney Disease study. PLoS Genet. 2022;18 (4):e1010139. doi: 10.1371/journal.pgen.1010139. PubMed PMID:35385482 PubMed Central PMC9015153.
36. Jami, ES, Hammerschlag, AR, Ip, HF, Allegrini, AG, Benyamin, B, Border, R et al.. Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms. J Am Acad Child Adolesc Psychiatry. 2022;61 (7):934-945. doi: 10.1016/j.jaac.2021.11.035. PubMed PMID:35378236 .
37. Jacobs, DR Jr, Woo, JG, Sinaiko, AR, Daniels, SR, Ikonen, J, Juonala, M et al.. Childhood Cardiovascular Risk Factors and Adult Cardiovascular Events. N Engl J Med. 2022;386 (20):1877-1888. doi: 10.1056/NEJMoa2109191. PubMed PMID:35373933 PubMed Central PMC9563825.
38. Okbay, A, Wu, Y, Wang, N, Jayashankar, H, Bennett, M, Nehzati, SM et al.. Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nat Genet. 2022;54 (4):437-449. doi: 10.1038/s41588-022-01016-z. PubMed PMID:35361970 PubMed Central PMC9005349.
39. Viinikainen, J, Bryson, A, Böckerman, P, Kari, JT, Lehtimäki, T, Raitakari, O et al.. Does better education mitigate risky health behavior? A mendelian randomization study. Econ Hum Biol. 2022;46 :101134. doi: 10.1016/j.ehb.2022.101134. PubMed PMID:35354116 .
40. Kasher, M, Williams, FMK, Freidin, MB, Malkin, I, Cherny, SS, CHARGE Inflammation Working Group et al.. Understanding the complex genetic architecture connecting rheumatoid arthritis, osteoporosis and inflammation: discovering causal pathways. Hum Mol Genet. 2022;31 (16):2810-2819. doi: 10.1093/hmg/ddac061. PubMed PMID:35349660 PubMed Central PMC9402243.
41. Kuusisto, S, Karjalainen, MK, Tillin, T, Kangas, AJ, Holmes, MV, Kähönen, M et al.. Genetic and observational evidence: No independent role for cholesterol efflux over static high-density lipoprotein concentration measures in coronary heart disease risk assessment. J Intern Med. 2022;292 (1):146-153. doi: 10.1111/joim.13479. PubMed PMID:35289444 PubMed Central PMC9311699.
42. Drouard, G, Ollikainen, M, Mykkänen, J, Raitakari, O, Lehtimäki, T, Kähönen, M et al.. Multi-Omics Integration in a Twin Cohort and Predictive Modeling of Blood Pressure Values. OMICS. 2022;26 (3):130-141. doi: 10.1089/omi.2021.0201. PubMed PMID:35259029 PubMed Central PMC8978565.
43. Rankinen, J, Haataja, P, Lyytikäinen, LP, Huhtala, H, Lehtimäki, T, Kähönen, M et al.. Prevalence and long-term prognostic implications of prolonged QRS duration in left ventricular hypertrophy: a population-based observational cohort study. BMJ Open. 2022;12 (2):e053477. doi: 10.1136/bmjopen-2021-053477. PubMed PMID:35228283 PubMed Central PMC8886432.
44. Scholz, M, Horn, K, Pott, J, Gross, A, Kleber, ME, Delgado, GE et al.. Author Correction: Genome-wide meta-analysis of phytosterols reveals five novel loci and a detrimental effect on coronary atherosclerosis. Nat Commun. 2022;13 (1):1122. doi: 10.1038/s41467-022-28863-y. PubMed PMID:35217655 PubMed Central PMC8881461.
45. Tölli, P, Keltikangas-Järvinen, L, Lehtimäki, T, Ravaja, N, Hintsanen, M, Ahola-Olli, A et al.. The relationship between temperament, polygenic score for intelligence and cognition: A population-based study of middle-aged adults. Genes Brain Behav. 2022;21 (4):e12798. doi: 10.1111/gbb.12798. PubMed PMID:35170850 PubMed Central PMC9744494.
46. Chiesa, ST, Charakida, M, Georgiopoulos, G, Roberts, JD, Stafford, SJ, Park, C et al.. Glycoprotein Acetyls: A Novel Inflammatory Biomarker of Early Cardiovascular Risk in the Young. J Am Heart Assoc. 2022;11 (4):e024380. doi: 10.1161/JAHA.121.024380. PubMed PMID:35156387 PubMed Central PMC9245818.
47. Hautakangas, H, Winsvold, BS, Ruotsalainen, SE, Bjornsdottir, G, Harder, AVE, Kogelman, LJA et al.. Genome-wide analysis of 102,084 migraine cases identifies 123 risk loci and subtype-specific risk alleles. Nat Genet. 2022;54 (2):152-160. doi: 10.1038/s41588-021-00990-0. PubMed PMID:35115687 PubMed Central PMC8837554.
48. Laaksonen, J, Mishra, PP, Seppälä, I, Raitoharju, E, Marttila, S, Mononen, N et al.. Mitochondrial genome-wide analysis of nuclear DNA methylation quantitative trait loci. Hum Mol Genet. 2022;31 (10):1720-1732. doi: 10.1093/hmg/ddab339. PubMed PMID:35077545 PubMed Central PMC9122653.
49. Park, I, Goddard, ME, Cole, JE, Zanin, N, Lyytikäinen, LP, Lehtimäki, T et al.. C-type lectin receptor CLEC4A2 promotes tissue adaptation of macrophages and protects against atherosclerosis. Nat Commun. 2022;13 (1):215. doi: 10.1038/s41467-021-27862-9. PubMed PMID:35017526 PubMed Central PMC8752790.
50. Scholz, M, Horn, K, Pott, J, Gross, A, Kleber, ME, Delgado, GE et al.. Genome-wide meta-analysis of phytosterols reveals five novel loci and a detrimental effect on coronary atherosclerosis. Nat Commun. 2022;13 (1):143. doi: 10.1038/s41467-021-27706-6. PubMed PMID:35013273 PubMed Central PMC8748632.
51. Bouras, E, Karhunen, V, Gill, D, Huang, J, Haycock, PC, Gunter, MJ et al.. Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis. BMC Med. 2022;20 (1):3. doi: 10.1186/s12916-021-02193-0. PubMed PMID:35012533 PubMed Central PMC8750876.
52. Rannikko, A, Leht, M, Mirtti, T, Kenttämies, A, Tolonen, T, Rinta-Kiikka, I et al.. Population-based randomized trial of screening for clinically significant prostate cancer ProScreen: a pilot study. BJU Int. 2022;130 (2):193-199. doi: 10.1111/bju.15683. PubMed PMID:34958531 PubMed Central PMC9327584.
53. Pitkänen, N, Finkenstedt, A, Lamina, C, Juonala, M, Kähönen, M, Mäkelä, KM et al.. Afamin predicts the prevalence and incidence of nonalcoholic fatty liver disease. Clin Chem Lab Med. 2022;60 (2):243-251. doi: 10.1515/cclm-2021-0837. PubMed PMID:34850615 .
54. Taylor-Bateman, V, Gill, D, Georgakis, MK, Malik, R, Munroe, P, Traylor, M et al.. Cardiovascular Risk Factors and MRI Markers of Cerebral Small Vessel Disease: A Mendelian Randomization Study. Neurology. 2022;98 (4):e343-e351. doi: 10.1212/WNL.0000000000013120. PubMed PMID:34845052 .
55. Pehkonen, J, Viinikainen, J, Kari, JT, Böckerman, P, Lehtimäki, T, Viikari, J et al.. Birth weight, adult weight, and cardiovascular biomarkers: Evidence from the Cardiovascular Young Finns Study. Prev Med. 2022;154 :106894. doi: 10.1016/j.ypmed.2021.106894. PubMed PMID:34801564 .
56. Saarinen, A, Granö, N, Hintsanen, M, Lehtimäki, T, Cloninger, CR, Keltikangas-Järvinen, L et al.. Bidirectional pathways between psychosocial risk factors and paranoid ideation in a general nonclinical population. Dev Psychopathol. 2022;34 (1):421-430. doi: 10.1017/S0954579420001030. PubMed PMID:33084551 .

Search PubMed

2021

1. Harville, EW, Mishra, PP, Kähönen, M, Raitoharju, E, Marttila, S, Raitakari, O et al.. Reproductive history and blood cell DNA methylation later in life: the Young Finns Study. Clin Epigenetics. 2021;13 (1):227. doi: 10.1186/s13148-021-01215-1. PubMed PMID:34930449 PubMed Central PMC8690999.
2. Graham, SE, Clarke, SL, Wu, KH, Kanoni, S, Zajac, GJM, Ramdas, S et al.. The power of genetic diversity in genome-wide association studies of lipids. Nature. 2021;600 (7890):675-679. doi: 10.1038/s41586-021-04064-3. PubMed PMID:34887591 PubMed Central PMC8730582.
3. Schlosser, P, Tin, A, Matias-Garcia, PR, Thio, CHL, Joehanes, R, Liu, H et al.. Meta-analyses identify DNA methylation associated with kidney function and damage. Nat Commun. 2021;12 (1):7174. doi: 10.1038/s41467-021-27234-3. PubMed PMID:34887417 PubMed Central PMC8660832.
4. Tin, A, Schlosser, P, Matias-Garcia, PR, Thio, CHL, Joehanes, R, Liu, H et al.. Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus. Nat Commun. 2021;12 (1):7173. doi: 10.1038/s41467-021-27198-4. PubMed PMID:34887389 PubMed Central PMC8660809.
5. Pitkänen, N, Finkenstedt, A, Lamina, C, Juonala, M, Kähönen, M, Mäkelä, KM et al.. Afamin predicts the prevalence and incidence of nonalcoholic fatty liver disease. Clin Chem Lab Med. 2022;60 (2):243-251. doi: 10.1515/cclm-2021-0837. PubMed PMID:34850615 .
6. Pehkonen, J, Viinikainen, J, Kari, JT, Böckerman, P, Lehtimäki, T, Viikari, J et al.. Birth weight, adult weight, and cardiovascular biomarkers: Evidence from the Cardiovascular Young Finns Study. Prev Med. 2022;154 :106894. doi: 10.1016/j.ypmed.2021.106894. PubMed PMID:34801564 .
7. Sun, D, Richard, M, Musani, SK, Sung, YJ, Winkler, TW, Schwander, K et al.. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG Adv. 2021;2 (1):. doi: 10.1016/j.xhgg.2020.100013. PubMed PMID:34734193 PubMed Central PMC8562625.
8. Saarinen, A, Keltikangas-Järvinen, L, Viding, E, Dobewall, H, Kaseva, K, Lehtimäki, T et al.. Compassion protects against vital exhaustion and negative emotionality. Motiv Emot. 2021;45 (4):506-517. doi: 10.1007/s11031-021-09878-2. PubMed PMID:34720257 PubMed Central PMC8550749.
9. Niinisalo, P, Raitakari, OT, Kähönen, M, Hurme, M, Lehtimäki, T, Magnussen, C et al.. IDO activity forecasts obesity in males and premenopausal females in a 10-year follow-up study:The Cardiovascular Risk in Young Finns Study. Atherosclerosis. 2021;336 :32-38. doi: 10.1016/j.atherosclerosis.2021.09.018. PubMed PMID:34628102 .
10. Kähönen, E, Aatola, H, Lehtimäki, T, Haarala, A, Sipilä, K, Juonala, M et al.. Influence of early life risk factors and lifestyle on systemic vascular resistance in later adulthood: the cardiovascular risk in young Finns study. Blood Press. 2021;30 (6):367-375. doi: 10.1080/08037051.2021.1980372. PubMed PMID:34605743 .
11. Mishra, PP, Mishra, BH, Lyytikäinen, LP, Hilvo, M, Juonala, M, Kähönen, M et al.. Assessment of plasma ceramides as predictor for subclinical atherosclerosis. Atheroscler Plus. 2021;45 :25-31. doi: 10.1016/j.athplu.2021.09.005. PubMed PMID:36643994 PubMed Central PMC9833256.
12. Clemens, A, Mishra, PP, Flouri, E, Lehtimäki, T, Raitakari, O, Keltikangas-Järvinen, L et al.. C-reactive protein and temperament: An instrumental variable analysis. Brain Behav Immun Health. 2021;14 :100241. doi: 10.1016/j.bbih.2021.100241. PubMed PMID:34589756 PubMed Central PMC8474607.
13. Patrakka, O, Mehtonen, H, Tuomisto, S, Pienimäki, JP, Ollikainen, J, Huhtala, H et al.. Association between Oral Pathology, Carotid Stenosis, and Oral Bacterial DNA in Cerebral Thrombi of Patients with Stroke. Stroke Res Treat. 2021;2021 :5402764. doi: 10.1155/2021/5402764. PubMed PMID:34531969 PubMed Central PMC8440111.
14. Võsa, U, Claringbould, A, Westra, HJ, Bonder, MJ, Deelen, P, Zeng, B et al.. Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nat Genet. 2021;53 (9):1300-1310. doi: 10.1038/s41588-021-00913-z. PubMed PMID:34475573 PubMed Central PMC8432599.
15. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet. 2021;398 (10304):957-980. doi: 10.1016/S0140-6736(21)01330-1. PubMed PMID:34450083 PubMed Central PMC8446938.
16. Dobewall, H, Keltikangas-Järvinen, L, Saarinen, A, Lyytikäinen, LP, Zwir, I, Cloninger, R et al.. Genetic differential susceptibility to the parent-child relationship quality and the life span development of compassion. Dev Psychobiol. 2021;63 (6):e22184. doi: 10.1002/dev.22184. PubMed PMID:34423428 .
17. van der Laan, CM, Morosoli-García, JJ, van de Weijer, SGA, Colodro-Conde, L, ACTION Consortium, Lupton, MK et al.. Continuity of Genetic Risk for Aggressive Behavior Across the Life-Course. Behav Genet. 2021;51 (5):592-606. doi: 10.1007/s10519-021-10076-6. PubMed PMID:34390460 PubMed Central PMC8390412.
18. Nilsson, KH, Henning, P, El Shahawy, M, Nethander, M, Andersen, TL, Ejersted, C et al.. RSPO3 is important for trabecular bone and fracture risk in mice and humans. Nat Commun. 2021;12 (1):4923. doi: 10.1038/s41467-021-25124-2. PubMed PMID:34389713 PubMed Central PMC8363747.
19. Gudmundsson, S, Karczewski, KJ, Francioli, LC, Tiao, G, Cummings, BB, Alföldi, J et al.. Addendum: The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2021;597 (7874):E3-E4. doi: 10.1038/s41586-021-03758-y. PubMed PMID:34373650 PubMed Central PMC8410591.
20. Ip, HF, van der Laan, CM, Krapohl, EML, Brikell, I, Sánchez-Mora, C, Nolte, IM et al.. Genetic association study of childhood aggression across raters, instruments, and age. Transl Psychiatry. 2021;11 (1):413. doi: 10.1038/s41398-021-01480-x. PubMed PMID:34330890 PubMed Central PMC8324785.
21. Mills, MC, Tropf, FC, Brazel, DM, van Zuydam, N, Vaez, A, eQTLGen Consortium et al.. Publisher Correction: Identification of 371 genetic variants for age at first sex and birth linked to externalising behavior. Nat Hum Behav. 2021;5 (8):1111. doi: 10.1038/s41562-021-01179-5. PubMed PMID:34321615 .
22. Enwald, M, Lehtimäki, T, Mishra, PP, Mononen, N, Murtola, TJ, Raitoharju, E et al.. Human Prostate Tissue MicroRNAs and Their Predicted Target Pathways Linked to Prostate Cancer Risk Factors. Cancers (Basel). 2021;13 (14):. doi: 10.3390/cancers13143537. PubMed PMID:34298752 PubMed Central PMC8307951.
23. Marttila, S, Viiri, LE, Mishra, PP, Kühnel, B, Matias-Garcia, PR, Lyytikäinen, LP et al.. Methylation status of nc886 epiallele reflects periconceptional conditions and is associated with glucose metabolism through nc886 RNAs. Clin Epigenetics. 2021;13 (1):143. doi: 10.1186/s13148-021-01132-3. PubMed PMID:34294131 PubMed Central PMC8296652.
24. Haslam, DE, Peloso, GM, Guirette, M, Imamura, F, Bartz, TM, Pitsillides, AN et al.. Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations. Circ Genom Precis Med. 2021;14 (4):e003288. doi: 10.1161/CIRCGEN.120.003288. PubMed PMID:34270325 PubMed Central PMC8373451.
25. Auvinen, J, Tapio, J, Karhunen, V, Kettunen, J, Serpi, R, Dimova, EY et al.. Systematic evaluation of the association between hemoglobin levels and metabolic profile implicates beneficial effects of hypoxia. Sci Adv. 2021;7 (29):. doi: 10.1126/sciadv.abi4822. PubMed PMID:34261659 PubMed Central PMC8279517.
26. Pehkonen, J, Viinikainen, J, Kari, JT, Böckerman, P, Lehtimäki, T, Raitakari, O et al.. Birth weight and adult income: An examination of mediation through adult height and body mass. Health Econ. 2021;30 (10):2383-2398. doi: 10.1002/hec.4387. PubMed PMID:34250692 .
27. Pool, LR, Krefman, AE, Labarthe, DR, Greenland, P, Juonala, M, Kähönen, M et al.. The Timing and Sequence of Cardiovascular Health Decline. Am J Prev Med. 2021;61 (4):545-553. doi: 10.1016/j.amepre.2021.04.010. PubMed PMID:34238623 .
28. Mills, MC, Tropf, FC, Brazel, DM, van Zuydam, N, Vaez, A, eQTLGen Consortium et al.. Identification of 371 genetic variants for age at first sex and birth linked to externalising behaviour. Nat Hum Behav. 2021;5 (12):1717-1730. doi: 10.1038/s41562-021-01135-3. PubMed PMID:34211149 PubMed Central PMC7612120.
29. McCartney, DL, Min, JL, Richmond, RC, Lu, AT, Sobczyk, MK, Davies, G et al.. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging. Genome Biol. 2021;22 (1):194. doi: 10.1186/s13059-021-02398-9. PubMed PMID:34187551 PubMed Central PMC8243879.
30. Hautamäki, M, Lyytikäinen, LP, Eskola, M, Lehtimäki, T, Nikus, K, Oksala, N et al.. Prehospital Adenosine Diphosphate Receptor Blocker Use, Culprit Artery Flow, and Mortality in STEMI: The MADDEC Study. Clin Drug Investig. 2021;41 (7):605-613. doi: 10.1007/s40261-021-01045-2. PubMed PMID:34101137 PubMed Central PMC8245391.
31. Mishra, BH, Mishra, PP, Mononen, N, Hilvo, M, Sievänen, H, Juonala, M et al.. Uncovering the shared lipidomic markers of subclinical osteoporosis-atherosclerosis comorbidity: The Young Finns Study. Bone. 2021;151 :116030. doi: 10.1016/j.bone.2021.116030. PubMed PMID:34098163 .
32. Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C et al.. Variants associated with expression have sex-differential effects on lung function. Wellcome Open Res. 2020;5 :111. doi: 10.12688/wellcomeopenres.15846.2. PubMed PMID:33728380 PubMed Central PMC7938335.
33. Portilla-Fernández, E, Hwang, SJ, Wilson, R, Maddock, J, Hill, WD, Teumer, A et al.. Meta-analysis of epigenome-wide association studies of carotid intima-media thickness. Eur J Epidemiol. 2021;36 (11):1143-1155. doi: 10.1007/s10654-021-00759-z. PubMed PMID:34091768 PubMed Central PMC8629903.
34. Krefman, AE, Labarthe, D, Greenland, P, Pool, L, Aguayo, L, Juonala, M et al.. Influential Periods in Longitudinal Clinical Cardiovascular Health Scores. Am J Epidemiol. 2021;190 (11):2384-2394. doi: 10.1093/aje/kwab149. PubMed PMID:34010956 PubMed Central PMC8561125.
35. Hakala, JO, Pahkala, K, Juonala, M, Salo, P, Kähönen, M, Hutri-Kähönen, N et al.. Cardiovascular Risk Factor Trajectories Since Childhood and Cognitive Performance in Midlife: The Cardiovascular Risk in Young Finns Study. Circulation. 2021;143 (20):1949-1961. doi: 10.1161/CIRCULATIONAHA.120.052358. PubMed PMID:33966448 .
36. Marttila, S, Rovio, S, Mishra, PP, Seppälä, I, Lyytikäinen, LP, Juonala, M et al.. Adulthood blood levels of hsa-miR-29b-3p associate with preterm birth and adult metabolic and cognitive health. Sci Rep. 2021;11 (1):9203. doi: 10.1038/s41598-021-88465-4. PubMed PMID:33911114 PubMed Central PMC8080838.
37. Dobewall, H, Saarinen, A, Lyytikäinen, LP, Keltikangas-Järvinen, L, Lehtimäki, T, Hintsanen, M et al.. Functional Polymorphisms in Oxytocin and Dopamine Pathway Genes and the Development of Dispositional Compassion Over Time: The Young Finns Study. Front Psychol. 2021;12 :576346. doi: 10.3389/fpsyg.2021.576346. PubMed PMID:33897514 PubMed Central PMC8060576.
38. Deelen, J, Evans, DS, Arking, DE, Tesi, N, Nygaard, M, Liu, X et al.. Publisher Correction: A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun. 2021;12 (1):2463. doi: 10.1038/s41467-021-22613-2. PubMed PMID:33893282 PubMed Central PMC8065049.
39. Wang, H, Noordam, R, Cade, BE, Schwander, K, Winkler, TW, Lee, J et al.. Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure. Mol Psychiatry. 2021;26 (11):6293-6304. doi: 10.1038/s41380-021-01087-0. PubMed PMID:33859359 PubMed Central PMC8517040.
40. Tideman, JWL, Pärssinen, O, Haarman, AEG, Khawaja, AP, Wedenoja, J, Williams, KM et al.. Evaluation of Shared Genetic Susceptibility to High and Low Myopia and Hyperopia. JAMA Ophthalmol. 2021;139 (6):601-609. doi: 10.1001/jamaophthalmol.2021.0497. PubMed PMID:33830181 PubMed Central PMC8033508.
41. Richardson, TG, Mykkänen, J, Pahkala, K, Ala-Korpela, M, Bell, JA, Taylor, K et al.. Evaluating the direct effects of childhood adiposity on adult systemic metabolism: a multivariable Mendelian randomization analysis. Int J Epidemiol. 2021;50 (5):1580-1592. doi: 10.1093/ije/dyab051. PubMed PMID:33783488 PubMed Central PMC8580280.
42. Mishra, BH, Mishra, PP, Raitoharju, E, Marttila, S, Mononen, N, Sievänen, H et al.. Modular genome-wide gene expression architecture shared by early traits of osteoporosis and atherosclerosis in the Young Finns Study. Sci Rep. 2021;11 (1):7111. doi: 10.1038/s41598-021-86536-0. PubMed PMID:33782480 PubMed Central PMC8007808.
43. Saarinen, AI, Keltner, D, Dobewall, H, Lehtimäki, T, Keltikangas-Järvinen, L, Hintsanen, M et al.. The relationship of socioeconomic status in childhood and adulthood with compassion: A study with a prospective 32-year follow-up. PLoS One. 2021;16 (3):e0248226. doi: 10.1371/journal.pone.0248226. PubMed PMID:33760844 PubMed Central PMC7990193.
44. NCD Risk Factor Collaboration (NCD-RisC). Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight. Elife. 2021;10 :. doi: 10.7554/eLife.60060. PubMed PMID:33685583 PubMed Central PMC7943191.
45. Kaikkonen, JE, Jula, A, Viikari, JSA, Juonala, M, Hutri-Kähönen, N, Kähönen, M et al.. Associations of Serum Fatty Acid Proportions with Obesity, Insulin Resistance, Blood Pressure, and Fatty Liver: The Cardiovascular Risk in Young Finns Study. J Nutr. 2021;151 (4):970-978. doi: 10.1093/jn/nxaa409. PubMed PMID:33561215 .
46. Heiskanen, JS, Ruohonen, S, Rovio, SP, Pahkala, K, Kytö, V, Kähönen, M et al.. Cardiovascular Risk Factors in Childhood and Left Ventricular Diastolic Function in Adulthood. Pediatrics. 2021;147 (3):. doi: 10.1542/peds.2020-016691. PubMed PMID:33558307 .
47. Carmeli, C, Kutalik, Z, Mishra, PP, Porcu, E, Delpierre, C, Delaneau, O et al.. Gene regulation contributes to explain the impact of early life socioeconomic disadvantage on adult inflammatory levels in two cohort studies. Sci Rep. 2021;11 (1):3100. doi: 10.1038/s41598-021-82714-2. PubMed PMID:33542415 PubMed Central PMC7862626.
48. Minikel, EV, Karczewski, KJ, Martin, HC, Cummings, BB, Whiffin, N, Rhodes, D et al.. Author Correction: Evaluating drug targets through human loss-of-function genetic variation. Nature. 2021;590 (7846):E56. doi: 10.1038/s41586-020-03177-5. PubMed PMID:33536628 PubMed Central PMC8064910.
49. Collins, RL, Brand, H, Karczewski, KJ, Zhao, X, Alföldi, J, Francioli, LC et al.. Author Correction: A structural variation reference for medical and population genetics. Nature. 2021;590 (7846):E55. doi: 10.1038/s41586-020-03176-6. PubMed PMID:33536627 PubMed Central PMC8064907.
50. Cummings, BB, Karczewski, KJ, Kosmicki, JA, Seaby, EG, Watts, NA, Singer-Berk, M et al.. Author Correction: Transcript expression-aware annotation improves rare variant interpretation. Nature. 2021;590 (7846):E54. doi: 10.1038/s41586-020-03175-7. PubMed PMID:33536626 PubMed Central PMC8064909.
51. Karczewski, KJ, Francioli, LC, Tiao, G, Cummings, BB, Alföldi, J, Wang, Q et al.. Author Correction: The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2021;590 (7846):E53. doi: 10.1038/s41586-020-03174-8. PubMed PMID:33536625 PubMed Central PMC8064911.
52. Hartiala, JA, Han, Y, Jia, Q, Hilser, JR, Huang, P, Gukasyan, J et al.. Genome-wide analysis identifies novel susceptibility loci for myocardial infarction. Eur Heart J. 2021;42 (9):919-933. doi: 10.1093/eurheartj/ehaa1040. PubMed PMID:33532862 PubMed Central PMC7936531.
53. Whiffin, N, Karczewski, KJ, Zhang, X, Chothani, S, Smith, MJ, Evans, DG et al.. Author Correction: Characterising the loss-of-function impact of 5′ untranslated region variants in 15,708 individuals. Nat Commun. 2021;12 (1):839. doi: 10.1038/s41467-021-21052-3. PubMed PMID:33531501 PubMed Central PMC7854672.
54. Wang, Q, Pierce-Hoffman, E, Cummings, BB, Alföldi, J, Francioli, LC, Gauthier, LD et al.. Author Correction: Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes. Nat Commun. 2021;12 (1):827. doi: 10.1038/s41467-021-21077-8. PubMed PMID:33531481 PubMed Central PMC7854597.
55. Ahluwalia, TS, Prins, BP, Abdollahi, M, Armstrong, NJ, Aslibekyan, S, Bain, L et al.. Genome-wide association study of circulating interleukin 6 levels identifies novel loci. Hum Mol Genet. 2021;30 (5):393-409. doi: 10.1093/hmg/ddab023. PubMed PMID:33517400 PubMed Central PMC8098112.
56. Wu, F, Pahkala, K, Juonala, M, Rovio, SP, Sabin, MA, Rönnemaa, T et al.. Dietary Pattern Trajectories from Youth to Adulthood and Adult Risk of Impaired Fasting Glucose: A 31-year Cohort Study. J Clin Endocrinol Metab. 2021;106 (5):e2078-e2086. doi: 10.1210/clinem/dgab044. PubMed PMID:33507261 .
57. Haapala, M, Lyytikäinen, LP, Peltokangas, M, Koivistoinen, T, Hutri-Kähönen, N, Laurila, MM et al.. Impedance plethysmography-based method in the assessment of subclinical atherosclerosis. Atherosclerosis. 2021;319 :101-107. doi: 10.1016/j.atherosclerosis.2021.01.006. PubMed PMID:33503553 .
58. Armstrong, MK, Fraser, BJ, Hartiala, O, Buscot, MJ, Juonala, M, Wu, F et al.. Association of Non-High-Density Lipoprotein Cholesterol Measured in Adolescence, Young Adulthood, and Mid-Adulthood With Coronary Artery Calcification Measured in Mid-Adulthood. JAMA Cardiol. 2021;6 (6):661-668. doi: 10.1001/jamacardio.2020.7238. PubMed PMID:33502454 PubMed Central PMC7841578.
59. Kalaoja, M, Corbin, LJ, Tan, VY, Ahola-Olli, AV, Havulinna, AS, Santalahti, K et al.. The Role of Inflammatory Cytokines as Intermediates in the Pathway from Increased Adiposity to Disease. Obesity (Silver Spring). 2021;29 (2):428-437. doi: 10.1002/oby.23060. PubMed PMID:33491305 PubMed Central PMC8614117.
60. Whiffin, N, Armean, IM, Kleinman, A, Marshall, JL, Minikel, EV, Goodrich, JK et al.. Author Correction: The effect of LRRK2 loss-of-function variants in humans. Nat Med. 2021;27 (2):355. doi: 10.1038/s41591-020-01185-6. PubMed PMID:33483629 PubMed Central PMC8095267.
61. Wu, F, Pahkala, K, Juonala, M, Jaakkola, J, Rovio, SP, Lehtimäki, T et al.. Childhood and Adulthood Passive Smoking and Nonalcoholic Fatty Liver in Midlife: A 31-year Cohort Study. Am J Gastroenterol. 2021;116 (6):1256-1263. doi: 10.14309/ajg.0000000000001141. PubMed PMID:33481379 .
62. Laaksonen, J, Mishra, PP, Seppälä, I, Lyytikäinen, LP, Raitoharju, E, Mononen, N et al.. Examining the effect of mitochondrial DNA variants on blood pressure in two Finnish cohorts. Sci Rep. 2021;11 (1):611. doi: 10.1038/s41598-020-79931-6. PubMed PMID:33436758 PubMed Central PMC7804469.
63. Saarinen, A, Keltikangas-Järvinen, L, Dobewall, H, Ahola-Olli, A, Salmi, M, Lehtimäki, T et al.. Risky emotional family environment in childhood and depression-related cytokines in adulthood: The protective role of compassion. Dev Psychobiol. 2021;63 (5):1190-1201. doi: 10.1002/dev.22070. PubMed PMID:33421111 .
64. van Dongen, J, Hagenbeek, FA, Suderman, M, Roetman, PJ, Sugden, K, Chiocchetti, AG et al.. DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan. Mol Psychiatry. 2021;26 (6):2148-2162. doi: 10.1038/s41380-020-00987-x. PubMed PMID:33420481 PubMed Central PMC8263810.
65. Gomez-Alonso, MDC, Kretschmer, A, Wilson, R, Pfeiffer, L, Karhunen, V, Seppälä, I et al.. DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures. Clin Epigenetics. 2021;13 (1):7. doi: 10.1186/s13148-020-00957-8. PubMed PMID:33413638 PubMed Central PMC7789600.
66. Kähönen, E, Aatola, H, Pälve, K, Hulkkonen, J, Haarala, A, Sipilä, K et al.. Association of lifetime blood pressure with adulthood exercise blood pressure response: the cardiovascular risk in young Finns study. Blood Press. 2021;30 (2):126-132. doi: 10.1080/08037051.2020.1868287. PubMed PMID:33399019 .
67. Wang, Q, Oliver-Williams, C, Raitakari, OT, Viikari, J, Lehtimäki, T, Kähönen, M et al.. Metabolic profiling of angiopoietin-like protein 3 and 4 inhibition: a drug-target Mendelian randomization analysis. Eur Heart J. 2021;42 (12):1160-1169. doi: 10.1093/eurheartj/ehaa972. PubMed PMID:33351885 PubMed Central PMC7982288.
68. Jaakkola, JM, Rovio, SP, Pahkala, K, Viikari, J, Rönnemaa, T, Jula, A et al.. Childhood exposure to parental smoking and life-course overweight and central obesity. Ann Med. 2021;53 (1):208-216. doi: 10.1080/07853890.2020.1853215. PubMed PMID:33305629 PubMed Central PMC7901689.
69. Heiskanen, JS, Hernesniemi, JA, Ruohonen, S, Hutri-Kähönen, N, Kähönen, M, Jokinen, E et al.. Influence of early-life body mass index and systolic blood pressure on left ventricle in adulthood – the Cardiovascular Risk in Young Finns Study. Ann Med. 2021;53 (1):160-168. doi: 10.1080/07853890.2020.1849785. PubMed PMID:33238748 PubMed Central PMC7877918.
70. Robinson, O, Carter, AR, Ala-Korpela, M, Casas, JP, Chaturvedi, N, Engmann, J et al.. Metabolic profiles of socio-economic position: a multi-cohort analysis. Int J Epidemiol. 2021;50 (3):768-782. doi: 10.1093/ije/dyaa188. PubMed PMID:33221853 PubMed Central PMC8271201.
71. Gorski, M, Jung, B, Li, Y, Matias-Garcia, PR, Wuttke, M, Coassin, S et al.. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney Int. 2021;99 (4):926-939. doi: 10.1016/j.kint.2020.09.030. PubMed PMID:33137338 PubMed Central PMC8010357.
72. Kresanov, P, Mykkänen, J, Ahotupa, M, Ala-Korpela, M, Juonala, M, Kaikkonen, J et al.. The associations of oxidized lipoprotein lipids with lipoprotein subclass particle concentrations and their lipid compositions. The Cardiovascular Risk in Young Finns Study. Free Radic Biol Med. 2021;162 :225-232. doi: 10.1016/j.freeradbiomed.2020.10.020. PubMed PMID:33098999 .
73. Wu, F, Pahkala, K, Juonala, M, Rovio, SP, Sabin, MA, Rönnemaa, T et al.. Childhood and long-term dietary calcium intake and adult cardiovascular risk in a population with high calcium intake. Clin Nutr. 2021;40 (4):1926-1931. doi: 10.1016/j.clnu.2020.09.007. PubMed PMID:32994068 .
74. Flinck, H, Rauhio, A, Luukinen, B, Lehtimäki, T, Haapala, AM, Seiskari, T et al.. Comparison of 2 fully automated tests detecting antibodies against nucleocapsid N and spike S1/S2 proteins in COVID-19. Diagn Microbiol Infect Dis. 2021;99 (1):115197. doi: 10.1016/j.diagmicrobio.2020.115197. PubMed PMID:32977117 PubMed Central PMC7456296.
75. Istolahti, T, Lyytikäinen, LP, Huhtala, H, Nieminen, T, Kähönen, M, Lehtimäki, T et al.. The prognostic significance of T-wave inversion according to ECG lead group during long-term follow-up in the general population. Ann Noninvasive Electrocardiol. 2021;26 (1):e12799. doi: 10.1111/anec.12799. PubMed PMID:32975832 PubMed Central PMC7816818.
76. Rankinen, J, Haataja, P, Lyytikäinen, LP, Huhtala, H, Lehtimäki, T, Kähönen, M et al.. Long-term outcome of intraventricular conduction delays in the general population. Ann Noninvasive Electrocardiol. 2021;26 (1):e12788. doi: 10.1111/anec.12788. PubMed PMID:32804416 PubMed Central PMC7816813.
77. de Las Fuentes, L, Sung, YJ, Noordam, R, Winkler, T, Feitosa, MF, Schwander, K et al.. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26 (6):2111-2125. doi: 10.1038/s41380-020-0719-3. PubMed PMID:32372009 PubMed Central PMC7641978.
78. Buchwald, J, Chenoweth, MJ, Palviainen, T, Zhu, G, Benner, C, Gordon, S et al.. Genome-wide association meta-analysis of nicotine metabolism and cigarette consumption measures in smokers of European descent. Mol Psychiatry. 2021;26 (6):2212-2223. doi: 10.1038/s41380-020-0702-z. PubMed PMID:32157176 PubMed Central PMC7483250.
79. Zwir, I, Del-Val, C, Arnedo, J, Pulkki-Råback, L, Konte, B, Yang, SS et al.. Three genetic-environmental networks for human personality. Mol Psychiatry. 2021;26 (8):3858-3875. doi: 10.1038/s41380-019-0579-x. PubMed PMID:31748689 PubMed Central PMC8550959.

Search PubMed

2020

1. Sun, D, Richard, M, Musani, SK, Sung, YJ, Winkler, TW, Schwander, K et al.. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG Adv. 2021;2 (1):. doi: 10.1016/j.xhgg.2020.100013. PubMed PMID:34734193 PubMed Central PMC8562625.
2. Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C et al.. Variants associated with expression have sex-differential effects on lung function. Wellcome Open Res. 2020;5 :111. doi: 10.12688/wellcomeopenres.15846.2. PubMed PMID:33728380 PubMed Central PMC7938335.
3. van Zuydam, NR, Ladenvall, C, Voight, BF, Strawbridge, RJ, Fernandez-Tajes, J, Rayner, NW et al.. Genetic Predisposition to Coronary Artery Disease in Type 2 Diabetes Mellitus. Circ Genom Precis Med. 2020;13 (6):e002769. doi: 10.1161/CIRCGEN.119.002769. PubMed PMID:33321069 PubMed Central PMC7748049.
4. Sargurupremraj, M, Suzuki, H, Jian, X, Sarnowski, C, Evans, TE, Bis, JC et al.. Cerebral small vessel disease genomics and its implications across the lifespan. Nat Commun. 2020;11 (1):6285. doi: 10.1038/s41467-020-19111-2. PubMed PMID:33293549 PubMed Central PMC7722866.
5. NCD Risk Factor Collaboration (NCD-RisC). Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Lancet. 2020;396 (10261):1511-1524. doi: 10.1016/S0140-6736(20)31859-6. PubMed PMID:33160572 PubMed Central PMC7658740.
6. Hunjadi, M, Lamina, C, Kahler, P, Bernscherer, T, Viikari, J, Lehtimäki, T et al.. HDL cholesterol efflux capacity is inversely associated with subclinical cardiovascular risk markers in young adults: The cardiovascular risk in Young Finns study. Sci Rep. 2020;10 (1):19223. doi: 10.1038/s41598-020-76146-7. PubMed PMID:33154477 PubMed Central PMC7645719.
7. Gorski, M, Jung, B, Li, Y, Matias-Garcia, PR, Wuttke, M, Coassin, S et al.. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney Int. 2021;99 (4):926-939. doi: 10.1016/j.kint.2020.09.030. PubMed PMID:33137338 PubMed Central PMC8010357.
8. Daghlas, I, Vgontzas, A, Guo, Y, Chasman, DI, International Headache Genetics Consortium, Saxena, R et al.. Habitual sleep disturbances and migraine: a Mendelian randomization study. Ann Clin Transl Neurol. 2020;7 (12):2370-2380. doi: 10.1002/acn3.51228. PubMed PMID:33125193 PubMed Central PMC7732254.
9. Yüzbaşıoğulları, AB, Kömürcü-Bayrak, E, Onat, A, Can, G, Mononen, N, Laaksonen, R et al.. Sex-specific associations of TCF7L2 variants with fasting glucose, type 2 diabetes and coronary heart disease among Turkish adults. Anatol J Cardiol. 2020;24 (5):326-333. doi: 10.14744/AnatolJCardiol.2020.57736. PubMed PMID:33122478 PubMed Central PMC7724383.
10. Kresanov, P, Mykkänen, J, Ahotupa, M, Ala-Korpela, M, Juonala, M, Kaikkonen, J et al.. The associations of oxidized lipoprotein lipids with lipoprotein subclass particle concentrations and their lipid compositions. The Cardiovascular Risk in Young Finns Study. Free Radic Biol Med. 2021;162 :225-232. doi: 10.1016/j.freeradbiomed.2020.10.020. PubMed PMID:33098999 .
11. Saarinen, A, Granö, N, Hintsanen, M, Lehtimäki, T, Cloninger, CR, Keltikangas-Järvinen, L et al.. Bidirectional pathways between psychosocial risk factors and paranoid ideation in a general nonclinical population. Dev Psychopathol. 2022;34 (1):421-430. doi: 10.1017/S0954579420001030. PubMed PMID:33084551 .
12. Vogelezang, S, Bradfield, JP, Ahluwalia, TS, Curtin, JA, Lakka, TA, Grarup, N et al.. Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits. PLoS Genet. 2020;16 (10):e1008718. doi: 10.1371/journal.pgen.1008718. PubMed PMID:33045005 PubMed Central PMC7581004.
13. Rankinen, J, Haataja, P, Lyytikäinen, LP, Huhtala, H, Lehtimäki, T, Kähönen, M et al.. Relation of intraventricular conduction delay to risk of new-onset heart failure and structural heart disease in the general population. Int J Cardiol Heart Vasc. 2020;31 :100639. doi: 10.1016/j.ijcha.2020.100639. PubMed PMID:33015317 PubMed Central PMC7522339.
14. Wu, F, Pahkala, K, Juonala, M, Rovio, SP, Sabin, MA, Rönnemaa, T et al.. Childhood and long-term dietary calcium intake and adult cardiovascular risk in a population with high calcium intake. Clin Nutr. 2021;40 (4):1926-1931. doi: 10.1016/j.clnu.2020.09.007. PubMed PMID:32994068 .
15. Flinck, H, Rauhio, A, Luukinen, B, Lehtimäki, T, Haapala, AM, Seiskari, T et al.. Comparison of 2 fully automated tests detecting antibodies against nucleocapsid N and spike S1/S2 proteins in COVID-19. Diagn Microbiol Infect Dis. 2021;99 (1):115197. doi: 10.1016/j.diagmicrobio.2020.115197. PubMed PMID:32977117 PubMed Central PMC7456296.
16. Istolahti, T, Lyytikäinen, LP, Huhtala, H, Nieminen, T, Kähönen, M, Lehtimäki, T et al.. The prognostic significance of T-wave inversion according to ECG lead group during long-term follow-up in the general population. Ann Noninvasive Electrocardiol. 2021;26 (1):e12799. doi: 10.1111/anec.12799. PubMed PMID:32975832 PubMed Central PMC7816818.
17. Yaghootkar, H, Zhang, Y, Spracklen, CN, Karaderi, T, Huang, LO, Bradfield, J et al.. Genetic Studies of Leptin Concentrations Implicate Leptin in the Regulation of Early Adiposity. Diabetes. 2020;69 (12):2806-2818. doi: 10.2337/db20-0070. PubMed PMID:32917775 PubMed Central PMC7679778.
18. Vuckovic, D, Bao, EL, Akbari, P, Lareau, CA, Mousas, A, Jiang, T et al.. The Polygenic and Monogenic Basis of Blood Traits and Diseases. Cell. 2020;182 (5):1214-1231.e11. doi: 10.1016/j.cell.2020.08.008. PubMed PMID:32888494 PubMed Central PMC7482360.
19. Chen, MH, Raffield, LM, Mousas, A, Sakaue, S, Huffman, JE, Moscati, A et al.. Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations. Cell. 2020;182 (5):1198-1213.e14. doi: 10.1016/j.cell.2020.06.045. PubMed PMID:32888493 PubMed Central PMC7480402.
20. Rankinen, J, Haataja, P, Lyytikäinen, LP, Huhtala, H, Lehtimäki, T, Kähönen, M et al.. Long-term outcome of intraventricular conduction delays in the general population. Ann Noninvasive Electrocardiol. 2021;26 (1):e12788. doi: 10.1111/anec.12788. PubMed PMID:32804416 PubMed Central PMC7816813.
21. Raittinen, P, Niemistö, K, Pennanen, E, Syvälä, H, Auriola, S, Riikonen, J et al.. Circulatory and prostatic tissue lipidomic profiles shifts after high-dose atorvastatin use in men with prostate cancer. Sci Rep. 2020;10 (1):12016. doi: 10.1038/s41598-020-68868-5. PubMed PMID:32694638 PubMed Central PMC7374714.
22. Hammerschlag, AR, Byrne, EM, eQTLGen Consortium, BIOS Consortium, Bartels, M, Wray, NR et al.. Refining Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Genetic Loci by Integrating Summary Data From Genome-wide Association, Gene Expression, and DNA Methylation Studies. Biol Psychiatry. 2020;88 (6):470-479. doi: 10.1016/j.biopsych.2020.05.002. PubMed PMID:32684367 .
23. Mahmoodi, BK, Tragante, V, Kleber, ME, Holmes, MV, Schmidt, AF, McCubrey, RO et al.. Association of Factor V Leiden With Subsequent Atherothrombotic Events: A GENIUS-CHD Study of Individual Participant Data. Circulation. 2020;142 (6):546-555. doi: 10.1161/CIRCULATIONAHA.119.045526. PubMed PMID:32654539 PubMed Central PMC7493828.
24. Moll, M, Sakornsakolpat, P, Shrine, N, Hobbs, BD, DeMeo, DL, John, C et al.. Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts. Lancet Respir Med. 2020;8 (7):696-708. doi: 10.1016/S2213-2600(20)30101-6. PubMed PMID:32649918 PubMed Central PMC7429152.
25. Guo, Y, Rist, PM, Daghlas, I, Giulianini, F, International Headache Genetics Consortium, 23andMe Research Team et al.. A genome-wide cross-phenotype meta-analysis of the association of blood pressure with migraine. Nat Commun. 2020;11 (1):3368. doi: 10.1038/s41467-020-17002-0. PubMed PMID:32632093 PubMed Central PMC7338361.
26. Jokiniitty, E, Hokkinen, L, Kumpulainen, P, Leskinen, Y, Lehtimäki, T, Oksala, N et al.. Urine headspace analysis with field asymmetric ion mobility spectrometry for detection of chronic kidney disease. Biomark Med. 2020;14 (8):629-638. doi: 10.2217/bmm-2020-0085. PubMed PMID:32613848 .
27. Kähönen, E, Lyytikäinen, LP, Aatola, H, Koivistoinen, T, Haarala, A, Sipilä, K et al.. Systemic vascular resistance predicts the development of hypertension: the cardiovascular risk in young Finns study. Blood Press. 2020;29 (6):362-369. doi: 10.1080/08037051.2020.1783992. PubMed PMID:32597238 .
28. Mishra, PP, Hänninen, I, Raitoharju, E, Marttila, S, Mishra, BH, Mononen, N et al.. Epigenome-450K-wide methylation signatures of active cigarette smoking: The Young Finns Study. Biosci Rep. 2020;40 (7):. doi: 10.1042/BSR20200596. PubMed PMID:32583859 PubMed Central PMC7340865.
29. Honkonen, M, Vääräniemi, K, Saijonmaa, O, Nyman, A, Tikkakoski, AJ, Koskela, J et al.. Leukocyte telomere length is inversely associated with arterial wave reflection in 566 normotensive and never-treated hypertensive subjects. Aging (Albany NY). 2020;12 (12):12376-12392. doi: 10.18632/aging.103459. PubMed PMID:32575070 PubMed Central PMC7343461.
30. Huang, Y, Ollikainen, M, Muniandy, M, Zhang, T, van Dongen, J, Hao, G et al.. Identification, Heritability, and Relation With Gene Expression of Novel DNA Methylation Loci for Blood Pressure. Hypertension. 2020;76 (1):195-205. doi: 10.1161/HYPERTENSIONAHA.120.14973. PubMed PMID:32520614 PubMed Central PMC7295009.
31. NCD Risk Factor Collaboration (NCD-RisC). Repositioning of the global epicentre of non-optimal cholesterol. Nature. 2020;582 (7810):73-77. doi: 10.1038/s41586-020-2338-1. PubMed PMID:32494083 PubMed Central PMC7332422.
32. Buscot, MJ, Wu, F, Juonala, M, Lehtimäki, T, Pitkänen, N, Sabin, MA et al.. Longitudinal association of a body mass index (BMI) genetic risk score with growth and BMI changes across the life course: The Cardiovascular Risk in Young Finns Study. Int J Obes (Lond). 2020;44 (8):1733-1742. doi: 10.1038/s41366-020-0611-x. PubMed PMID:32494039 .
33. Khan, N, Khan, J, Lyytikäinen, LP, Lehtimäki, T, Laurikka, J, Oksala, N et al.. Serum apolipoprotein A-I concentration differs in coronary and peripheral artery disease. Scand J Clin Lab Invest. 2020;80 (5):370-374. doi: 10.1080/00365513.2020.1746974. PubMed PMID:32491935 .
34. Whiffin, N, Armean, IM, Kleinman, A, Marshall, JL, Minikel, EV, Goodrich, JK et al.. The effect of LRRK2 loss-of-function variants in humans. Nat Med. 2020;26 (6):869-877. doi: 10.1038/s41591-020-0893-5. PubMed PMID:32461697 PubMed Central PMC7303015.
35. Cummings, BB, Karczewski, KJ, Kosmicki, JA, Seaby, EG, Watts, NA, Singer-Berk, M et al.. Transcript expression-aware annotation improves rare variant interpretation. Nature. 2020;581 (7809):452-458. doi: 10.1038/s41586-020-2329-2. PubMed PMID:32461655 PubMed Central PMC7334198.
36. Karczewski, KJ, Francioli, LC, Tiao, G, Cummings, BB, Alföldi, J, Wang, Q et al.. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581 (7809):434-443. doi: 10.1038/s41586-020-2308-7. PubMed PMID:32461654 PubMed Central PMC7334197.
37. Minikel, EV, Karczewski, KJ, Martin, HC, Cummings, BB, Whiffin, N, Rhodes, D et al.. Evaluating drug targets through human loss-of-function genetic variation. Nature. 2020;581 (7809):459-464. doi: 10.1038/s41586-020-2267-z. PubMed PMID:32461653 PubMed Central PMC7272226.
38. Collins, RL, Brand, H, Karczewski, KJ, Zhao, X, Alföldi, J, Francioli, LC et al.. A structural variation reference for medical and population genetics. Nature. 2020;581 (7809):444-451. doi: 10.1038/s41586-020-2287-8. PubMed PMID:32461652 PubMed Central PMC7334194.
39. Whiffin, N, Karczewski, KJ, Zhang, X, Chothani, S, Smith, MJ, Evans, DG et al.. Characterising the loss-of-function impact of 5′ untranslated region variants in 15,708 individuals. Nat Commun. 2020;11 (1):2523. doi: 10.1038/s41467-019-10717-9. PubMed PMID:32461616 PubMed Central PMC7253449.
40. Wang, Q, Pierce-Hoffman, E, Cummings, BB, Alföldi, J, Francioli, LC, Gauthier, LD et al.. Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes. Nat Commun. 2020;11 (1):2539. doi: 10.1038/s41467-019-12438-5. PubMed PMID:32461613 PubMed Central PMC7253413.
41. Ntalla, I, Weng, LC, Cartwright, JH, Hall, AW, Sveinbjornsson, G, Tucker, NR et al.. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction. Nat Commun. 2020;11 (1):2542. doi: 10.1038/s41467-020-15706-x. PubMed PMID:32439900 PubMed Central PMC7242331.
42. Georgakis, MK, Malik, R, Gill, D, Franceschini, N, Sudlow, CLM, Dichgans, M et al.. Interleukin-6 Signaling Effects on Ischemic Stroke and Other Cardiovascular Outcomes: A Mendelian Randomization Study. Circ Genom Precis Med. 2020;13 (3):e002872. doi: 10.1161/CIRCGEN.119.002872. PubMed PMID:32397738 PubMed Central PMC7299212.
43. Zheng, Y, Huang, T, Wang, T, Mei, Z, Sun, Z, Zhang, T et al.. Mendelian randomization analysis does not support causal associations of birth weight with hypertension risk and blood pressure in adulthood. Eur J Epidemiol. 2020;35 (7):685-697. doi: 10.1007/s10654-020-00638-z. PubMed PMID:32383070 PubMed Central PMC7867117.
44. de Las Fuentes, L, Sung, YJ, Noordam, R, Winkler, T, Feitosa, MF, Schwander, K et al.. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26 (6):2111-2125. doi: 10.1038/s41380-020-0719-3. PubMed PMID:32372009 PubMed Central PMC7641978.
45. Saarinen, AIL, Keltikangas-Järvinen, L, Hintsa, T, Pulkki-Råback, L, Ravaja, N, Lehtimäki, T et al.. Does Compassion Predict Blood Pressure and Hypertension? The Modifying Role of Familial Risk for Hypertension. Int J Behav Med. 2020;27 (5):527-538. doi: 10.1007/s12529-020-09886-5. PubMed PMID:32347444 PubMed Central PMC7497423.
46. Bryois, J, Skene, NG, Hansen, TF, Kogelman, LJA, Watson, HJ, Liu, Z et al.. Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson’s disease. Nat Genet. 2020;52 (5):482-493. doi: 10.1038/s41588-020-0610-9. PubMed PMID:32341526 PubMed Central PMC7930801.
47. Siewert, KM, Klarin, D, Damrauer, SM, Chang, KM, Tsao, PS, Assimes, TL et al.. Cross-trait analyses with migraine reveal widespread pleiotropy and suggest a vascular component to migraine headache. Int J Epidemiol. 2020;49 (3):1022-1031. doi: 10.1093/ije/dyaa050. PubMed PMID:32306029 PubMed Central PMC7394956.
48. Sundström, K, Mishra, PP, Pyysalo, MJ, Lehtimäki, T, Karhunen, PJ, Pessi, T et al.. Similarity of salivary microbiome in parents and adult children. PeerJ. 2020;8 :e8799. doi: 10.7717/peerj.8799. PubMed PMID:32296599 PubMed Central PMC7151748.
49. Haarala, A, Kähönen, E, Koivistoinen, T, Pälve, K, Hulkkonen, J, Tikkakoski, A et al.. Pulse wave velocity is related to exercise blood pressure response in young adults. The Cardiovascular Risk in Young Finns Study. Blood Press. 2020;29 (4):256-263. doi: 10.1080/08037051.2020.1750944. PubMed PMID:32292083 .
50. Hokkinen, L, Kesti, A, Lepomäki, J, Anttalainen, O, Kontunen, A, Karjalainen, M et al.. Differential mobility spectrometry classification of bacteria. Future Microbiol. 2020;15 :233-240. doi: 10.2217/fmb-2019-0192. PubMed PMID:32271111 .
51. Rovio, SP, Pihlman, J, Pahkala, K, Juonala, M, Magnussen, CG, Pitkänen, N et al.. Childhood Exposure to Parental Smoking and Midlife Cognitive Function. Am J Epidemiol. 2020;189 (11):1280-1291. doi: 10.1093/aje/kwaa052. PubMed PMID:32242223 .
52. Elovainio, M, Vahtera, J, Pentti, J, Hakulinen, C, Pulkki-Råback, L, Lipsanen, J et al.. The Contribution of Neighborhood Socioeconomic Disadvantage to Depressive Symptoms Over the Course of Adult Life: A 32-Year Prospective Cohort Study. Am J Epidemiol. 2020;189 (7):679-689. doi: 10.1093/aje/kwaa026. PubMed PMID:32239174 PubMed Central PMC8179339.
53. Fan, Q, Pozarickij, A, Tan, NYQ, Guo, X, Verhoeven, VJM, Vitart, V et al.. Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error. Commun Biol. 2020;3 (1):133. doi: 10.1038/s42003-020-0802-y. PubMed PMID:32193507 PubMed Central PMC7081241.
54. Kari, JT, Viinikainen, J, Böckerman, P, Tammelin, TH, Pitkänen, N, Lehtimäki, T et al.. Education leads to a more physically active lifestyle: Evidence based on Mendelian randomization. Scand J Med Sci Sports. 2020;30 (7):1194-1204. doi: 10.1111/sms.13653. PubMed PMID:32176397 .
55. Allen, NB, Krefman, AE, Labarthe, D, Greenland, P, Juonala, M, Kähönen, M et al.. Cardiovascular Health Trajectories From Childhood Through Middle Age and Their Association With Subclinical Atherosclerosis. JAMA Cardiol. 2020;5 (5):557-566. doi: 10.1001/jamacardio.2020.0140. PubMed PMID:32159727 PubMed Central PMC7066520.
56. Buchwald, J, Chenoweth, MJ, Palviainen, T, Zhu, G, Benner, C, Gordon, S et al.. Genome-wide association meta-analysis of nicotine metabolism and cigarette consumption measures in smokers of European descent. Mol Psychiatry. 2021;26 (6):2212-2223. doi: 10.1038/s41380-020-0702-z. PubMed PMID:32157176 PubMed Central PMC7483250.
57. Kettunen, J, Holmes, MV, Allara, E, Anufrieva, O, Ohukainen, P, Oliver-Williams, C et al.. Correction: Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition. PLoS Biol. 2020;18 (3):e3000694. doi: 10.1371/journal.pbio.3000694. PubMed PMID:32142508 PubMed Central PMC7059900.
58. Karjalainen, MK, Holmes, MV, Wang, Q, Anufrieva, O, Kähönen, M, Lehtimäki, T et al.. Apolipoprotein A-I concentrations and risk of coronary artery disease: A Mendelian randomization study. Atherosclerosis. 2020;299 :56-63. doi: 10.1016/j.atherosclerosis.2020.02.002. PubMed PMID:32113648 .
59. Viinikainen, J, Bryson, A, Böckerman, P, Elovainio, M, Hutri-Kähönen, N, Juonala, M et al.. Do childhood infections affect labour market outcomes in adulthood and, if so, how?. Econ Hum Biol. 2020;37 :100857. doi: 10.1016/j.ehb.2020.100857. PubMed PMID:32078928 .
60. Istolahti, T, Eranti, A, Huhtala, H, Lyytikäinen, LP, Kähönen, M, Lehtimäki, T et al.. The prevalence and prognostic significance of interatrial block in the general population. Ann Med. 2020;52 (3-4):63-73. doi: 10.1080/07853890.2020.1731759. PubMed PMID:32077319 PubMed Central PMC7877939.
61. Ochoa-Rosales, C, Portilla-Fernandez, E, Nano, J, Wilson, R, Lehne, B, Mishra, PP et al.. Epigenetic Link Between Statin Therapy and Type 2 Diabetes. Diabetes Care. 2020;43 (4):875-884. doi: 10.2337/dc19-1828. PubMed PMID:32033992 .
62. Saarinen, AIL, Keltikangas-Järvinen, L, Lehtimäki, T, Jula, A, Cloninger, CR, Hintsanen, M et al.. Somatic complaints in early adulthood predict the developmental course of compassion into middle age. J Psychosom Res. 2020;131 :109942. doi: 10.1016/j.jpsychores.2020.109942. PubMed PMID:32014638 .
63. Satterstrom, FK, Kosmicki, JA, Wang, J, Breen, MS, De Rubeis, S, An, JY et al.. Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism. Cell. 2020;180 (3):568-584.e23. doi: 10.1016/j.cell.2019.12.036. PubMed PMID:31981491 PubMed Central PMC7250485.
64. Ekholm, J, Ohukainen, P, Kangas, AJ, Kettunen, J, Wang, Q, Karsikas, M et al.. EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics. Int J Epidemiol. 2020;49 (4):1075-1081. doi: 10.1093/ije/dyz244. PubMed PMID:31943015 PubMed Central PMC7660139.
65. Istolahti, T, Nieminen, T, Huhtala, H, Lyytikäinen, LP, Kähönen, M, Lehtimäki, T et al.. Long-term prognostic significance of the ST level and ST slope in the 12‑lead ECG in the general population. J Electrocardiol. 2020;58 :176-183. doi: 10.1016/j.jelectrocard.2019.12.010. PubMed PMID:31911397 .
66. Traylor, M, Amin Al Olama, A, Lyytikäinen, LP, Marini, S, Chung, J, Malik, R et al.. Influence of Genetic Variation in on Endothelial Function and Stroke. Hypertension. 2020;75 (2):365-371. doi: 10.1161/HYPERTENSIONAHA.119.13513. PubMed PMID:31865795 PubMed Central PMC7055937.
67. Koskinen, JS, Kytö, V, Juonala, M, Viikari, JSA, Nevalainen, J, Kähönen, M et al.. Childhood risk factors and carotid atherosclerotic plaque in adulthood: The Cardiovascular Risk in Young Finns Study. Atherosclerosis. 2020;293 :18-25. doi: 10.1016/j.atherosclerosis.2019.11.029. PubMed PMID:31830725 .
68. Hautamäki, M, Lyytikäinen, LP, Mahdiani, S, Eskola, M, Lehtimäki, T, Nikus, K et al.. The association between charlson comorbidity index and mortality in acute coronary syndrome – the MADDEC study. Scand Cardiovasc J. 2020;54 (3):146-152. doi: 10.1080/14017431.2019.1693615. PubMed PMID:31775530 .
69. Mishra, BH, Mishra, PP, Mononen, N, Hilvo, M, Sievänen, H, Juonala, M et al.. Lipidomic architecture shared by subclinical markers of osteoporosis and atherosclerosis: The Cardiovascular Risk in Young Finns Study. Bone. 2020;131 :115160. doi: 10.1016/j.bone.2019.115160. PubMed PMID:31759205 .
70. Orlenko, A, Kofink, D, Lyytikäinen, LP, Nikus, K, Mishra, P, Kuukasjärvi, P et al.. Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. Bioinformatics. 2020;36 (6):1772-1778. doi: 10.1093/bioinformatics/btz796. PubMed PMID:31702773 PubMed Central PMC7703753.
71. Bis, JC, Jian, X, Kunkle, BW, Chen, Y, Hamilton-Nelson, KL, Bush, WS et al.. Correction: Whole exome sequencing study identifies novel rare and common Alzheimer’s-Associated variants involved in immune response and transcriptional regulation. Mol Psychiatry. 2020;25 (8):1901-1903. doi: 10.1038/s41380-019-0529-7. PubMed PMID:31636380 PubMed Central PMC7387240.
72. Nuotio, J, Vähämurto, L, Pahkala, K, Magnussen, CG, Hutri-Kähönen, N, Kähönen, M et al.. CVD risk factors and surrogate markers – Urban-rural differences. Scand J Public Health. 2020;48 (7):752-761. doi: 10.1177/1403494819869816. PubMed PMID:31464561 .
73. Hernesniemi, JA, Sipilä, K, Tikkakoski, A, Tynkkynen, JT, Mishra, PP, Lyytikäinen, LP et al.. Cardiorespiratory fitness and heart rate recovery predict sudden cardiac death independent of ejection fraction. Heart. 2020;106 (6):434-440. doi: 10.1136/heartjnl-2019-315198. PubMed PMID:31422363 .
74. NCD Risk Factor Collaboration (NCD-RisC). National trends in total cholesterol obscure heterogeneous changes in HDL and non-HDL cholesterol and total-to-HDL cholesterol ratio: a pooled analysis of 458 population-based studies in Asian and Western countries. Int J Epidemiol. 2020;49 (1):173-192. doi: 10.1093/ije/dyz099. PubMed PMID:31321439 PubMed Central PMC7245049.
75. Laitinen, TT, Vahtera, J, Pahkala, K, Magnussen, CG, Nuotio, J, Hutri-Kähönen, N et al.. Childhood Socioeconomic Disadvantage and Risk of Fatty Liver in Adulthood: The Cardiovascular Risk in Young Finns Study. Hepatology. 2020;71 (1):67-75. doi: 10.1002/hep.30804. PubMed PMID:31169929 .
76. Zwir, I, Mishra, P, Del-Val, C, Gu, CC, de Erausquin, GA, Lehtimäki, T et al.. Uncovering the complex genetics of human personality: response from authors on the PGMRA Model. Mol Psychiatry. 2020;25 (10):2210-2213. doi: 10.1038/s41380-019-0399-z. PubMed PMID:30886336 PubMed Central PMC7515846.
77. Zwir, I, Arnedo, J, Del-Val, C, Pulkki-Råback, L, Konte, B, Yang, SS et al.. Uncovering the complex genetics of human character. Mol Psychiatry. 2020;25 (10):2295-2312. doi: 10.1038/s41380-018-0263-6. PubMed PMID:30283034 PubMed Central PMC7515844.
78. Zwir, I, Arnedo, J, Del-Val, C, Pulkki-Råback, L, Konte, B, Yang, SS et al.. Uncovering the complex genetics of human temperament. Mol Psychiatry. 2020;25 (10):2275-2294. doi: 10.1038/s41380-018-0264-5. PubMed PMID:30279457 PubMed Central PMC7515831.
79. Bis, JC, Jian, X, Kunkle, BW, Chen, Y, Hamilton-Nelson, KL, Bush, WS et al.. Whole exome sequencing study identifies novel rare and common Alzheimer’s-Associated variants involved in immune response and transcriptional regulation. Mol Psychiatry. 2020;25 (8):1859-1875. doi: 10.1038/s41380-018-0112-7. PubMed PMID:30108311 PubMed Central PMC6375806.

Search PubMed

2019

1. Istolahti, T, Nieminen, T, Huhtala, H, Lyytikäinen, LP, Kähönen, M, Lehtimäki, T et al.. Long-term prognostic significance of the ST level and ST slope in the 12‑lead ECG in the general population. J Electrocardiol. ;58 :176-183. doi: 10.1016/j.jelectrocard.2019.12.010. PubMed PMID:31911397 .
2. Traylor, M, Amin Al Olama, A, Lyytikäinen, LP, Marini, S, Chung, J, Malik, R et al.. Influence of Genetic Variation in PDE3A on Endothelial Function and Stroke. Hypertension. 2020;75 (2):365-371. doi: 10.1161/HYPERTENSIONAHA.119.13513. PubMed PMID:31865795 PubMed Central PMC7055937.
3. Kettunen, J, Holmes, MV, Allara, E, Anufrieva, O, Ohukainen, P, Oliver-Williams, C et al.. Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition. PLoS Biol. 2019;17 (12):e3000572. doi: 10.1371/journal.pbio.3000572. PubMed PMID:31860674 PubMed Central PMC6944381.
4. Koskinen, JS, Kytö, V, Juonala, M, Viikari, JSA, Nevalainen, J, Kähönen, M et al.. Childhood risk factors and carotid atherosclerotic plaque in adulthood: The Cardiovascular Risk in Young Finns Study. Atherosclerosis. 2020;293 :18-25. doi: 10.1016/j.atherosclerosis.2019.11.029. PubMed PMID:31830725 .
5. Holvoet, P, Klocke, B, Vanhaverbeke, M, Menten, R, Sinnaeve, P, Raitoharju, E et al.. RNA-sequencing reveals that STRN, ZNF484 and WNK1 add to the value of mitochondrial MT-COI and COX10 as markers of unstable coronary artery disease. PLoS One. 2019;14 (12):e0225621. doi: 10.1371/journal.pone.0225621. PubMed PMID:31821324 PubMed Central PMC6903720.
6. Hautamäki, M, Lyytikäinen, LP, Mahdiani, S, Eskola, M, Lehtimäki, T, Nikus, K et al.. The association between charlson comorbidity index and mortality in acute coronary syndrome – the MADDEC study. Scand Cardiovasc J. 2020;54 (3):146-152. doi: 10.1080/14017431.2019.1693615. PubMed PMID:31775530 .
7. Mishra, BH, Mishra, PP, Mononen, N, Hilvo, M, Sievänen, H, Juonala, M et al.. Lipidomic architecture shared by subclinical markers of osteoporosis and atherosclerosis: The Cardiovascular Risk in Young Finns Study. Bone. 2020;131 :115160. doi: 10.1016/j.bone.2019.115160. PubMed PMID:31759205 .
8. Zwir, I, Del-Val, C, Arnedo, J, Pulkki-Råback, L, Konte, B, Yang, SS et al.. Three genetic-environmental networks for human personality. Mol Psychiatry. 2019; :. doi: 10.1038/s41380-019-0579-x. PubMed PMID:31748689 .
9. Noordam, R, Bos, MM, Wang, H, Winkler, TW, Bentley, AR, Kilpeläinen, TO et al.. Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration. Nat Commun. 2019;10 (1):5121. doi: 10.1038/s41467-019-12958-0. PubMed PMID:31719535 PubMed Central PMC6851116.
10. Nath, AP, Ritchie, SC, Grinberg, NF, Tang, HH, Huang, QQ, Teo, SM et al.. Multivariate Genome-wide Association Analysis of a Cytokine Network Reveals Variants with Widespread Immune, Haematological, and Cardiometabolic Pleiotropy. Am J Hum Genet. 2019;105 (6):1076-1090. doi: 10.1016/j.ajhg.2019.10.001. PubMed PMID:31679650 PubMed Central PMC6904835.
11. Sipilä, K, Tikkakoski, A, Alanko, S, Haarala, A, Hernesniemi, J, Lyytikäinen, LP et al.. Combination of low blood pressure response, low exercise capacity and slow heart rate recovery during an exercise test significantly increases mortality risk. Ann Med. ;51 (7-8):390-396. doi: 10.1080/07853890.2019.1684550. PubMed PMID:31638839 .
12. Ahola-Olli, AV, Mustelin, L, Kalimeri, M, Kettunen, J, Jokelainen, J, Auvinen, J et al.. Circulating metabolites and the risk of type 2 diabetes: a prospective study of 11,896 young adults from four Finnish cohorts. Diabetologia. 2019;62 (12):2298-2309. doi: 10.1007/s00125-019-05001-w. PubMed PMID:31584131 PubMed Central PMC6861432.
13. Tin, A, Marten, J, Halperin Kuhns, VL, Li, Y, Wuttke, M, Kirsten, H et al.. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels. Nat Genet. 2019;51 (10):1459-1474. doi: 10.1038/s41588-019-0504-x. PubMed PMID:31578528 PubMed Central PMC6858555.
14. BIRTH-GENE (BIG) Study Working Group, Huang, T, Wang, T, Zheng, Y, Ellervik, C, Li, X et al.. Association of Birth Weight With Type 2 Diabetes and Glycemic Traits: A Mendelian Randomization Study. JAMA Netw Open. 2019;2 (9):e1910915. doi: 10.1001/jamanetworkopen.2019.10915. PubMed PMID:31539074 PubMed Central PMC6755534.
15. Teumer, A, Li, Y, Ghasemi, S, Prins, BP, Wuttke, M, Hermle, T et al.. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria. Nat Commun. 2019;10 (1):4130. doi: 10.1038/s41467-019-11576-0. PubMed PMID:31511532 PubMed Central PMC6739370.
16. Bradfield, JP, Vogelezang, S, Felix, JF, Chesi, A, Helgeland, Ø, Horikoshi, M et al.. A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity. Hum Mol Genet. 2019;28 (19):3327-3338. doi: 10.1093/hmg/ddz161. PubMed PMID:31504550 PubMed Central PMC6859434.
17. Viitasalo, A, Schnurr, TM, Pitkänen, N, Hollensted, M, Nielsen, TRH, Pahkala, K et al.. Abdominal adiposity and cardiometabolic risk factors in children and adolescents: a Mendelian randomization analysis. Am J Clin Nutr. 2019;110 (5):1079-1087. doi: 10.1093/ajcn/nqz187. PubMed PMID:31504107 PubMed Central PMC6904295.
18. Spracklen, CN, Karaderi, T, Yaghootkar, H, Schurmann, C, Fine, RS, Kutalik, Z et al.. Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology. Am J Hum Genet. 2019;105 (3):670-671. doi: 10.1016/j.ajhg.2019.08.001. PubMed PMID:31491410 PubMed Central PMC6732522.
19. Nuotio, J, Vähämurto, L, Pahkala, K, Magnussen, CG, Hutri-Kähönen, N, Kähönen, M et al.. CVD risk factors and surrogate markers – Urban-rural differences. Scand J Public Health. 2020;48 (7):752-761. doi: 10.1177/1403494819869816. PubMed PMID:31464561 .
20. Halonen, JI, Shiri, R, Mänty, M, Sumanen, H, Solovieva, S, Viikari-Juntura, E et al.. Exposure to heavy physical work from early to later adulthood and primary healthcare visits due to musculoskeletal diseases in midlife: a register linked study. BMJ Open. 2019;9 (8):e031564. doi: 10.1136/bmjopen-2019-031564. PubMed PMID:31462488 PubMed Central PMC6720465.
21. Basnyat, P, Sumelahti, ML, Lehtimäki, T, Elovaara, I, Hagman, S. Gene expression profiles of TNF-like cytokine 1A (TL1A) and its receptors death receptor 3 (DR3) and decoy receptor 3 (DcR3) in multiple sclerosis. J Neuroimmunol. 2019;335 :577020. doi: 10.1016/j.jneuroim.2019.577020. PubMed PMID:31445379 .
22. Tuomisto, S, Huhtala, H, Martiskainen, M, Goebeler, S, Lehtimäki, T, Karhunen, PJ et al.. Age-dependent association of gut bacteria with coronary atherosclerosis: Tampere Sudden Death Study. PLoS One. 2019;14 (8):e0221345. doi: 10.1371/journal.pone.0221345. PubMed PMID:31437200 PubMed Central PMC6705803.
23. Murphy, AM, Smith, CE, Murphy, LM, Follis, JL, Tanaka, T, Richardson, K et al.. Potential Interplay between Dietary Saturated Fats and Genetic Variants of the NLRP3 Inflammasome to Modulate Insulin Resistance and Diabetes Risk: Insights from a Meta-Analysis of 19 005 Individuals. Mol Nutr Food Res. 2019;63 (22):e1900226. doi: 10.1002/mnfr.201900226. PubMed PMID:31432628 PubMed Central PMC6864231.
24. Hernesniemi, JA, Sipilä, K, Tikkakoski, A, Tynkkynen, JT, Mishra, PP, Lyytikäinen, LP et al.. Cardiorespiratory fitness and heart rate recovery predict sudden cardiac death independent of ejection fraction. Heart. 2020;106 (6):434-440. doi: 10.1136/heartjnl-2019-315198. PubMed PMID:31422363 .
25. Deelen, J, Evans, DS, Arking, DE, Tesi, N, Nygaard, M, Liu, X et al.. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun. 2019;10 (1):3669. doi: 10.1038/s41467-019-11558-2. PubMed PMID:31413261 PubMed Central PMC6694136.
26. Evangelou, E, Gao, H, Chu, C, Ntritsos, G, Blakeley, P, Butts, AR et al.. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nat Hum Behav. 2019;3 (9):950-961. doi: 10.1038/s41562-019-0653-z. PubMed PMID:31358974 PubMed Central PMC7711277.
27. Porcu, E, Rüeger, S, Lepik, K, eQTLGen Consortium, BIOS Consortium, Santoni, FA et al.. Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits. Nat Commun. 2019;10 (1):3300. doi: 10.1038/s41467-019-10936-0. PubMed PMID:31341166 PubMed Central PMC6656778.
28. Viitasalo, A, Schnurr, TM, Pitkänen, N, Hollensted, M, Nielsen, TRH, Pahkala, K et al.. Genetic predisposition to higher body fat yet lower cardiometabolic risk in children and adolescents. Int J Obes (Lond). 2019;43 (10):2007-2016. doi: 10.1038/s41366-019-0414-0. PubMed PMID:31332278 .
29. Syyli, N, Hautamäki, M, Antila, K, Mahdiani, S, Eskola, M, Lehtimäki, T et al.. Left ventricular ejection fraction adds value over the GRACE score in prediction of 6-month mortality after ACS: the MADDEC study. Open Heart. ;6 (1):e001007. doi: 10.1136/openhrt-2019-001007. PubMed PMID:31328004 PubMed Central PMC6609116.
30. NCD Risk Factor Collaboration (NCD-RisC). Long-term and recent trends in hypertension awareness, treatment, and control in 12 high-income countries: an analysis of 123 nationally representative surveys. Lancet. 2019;394 (10199):639-651. doi: 10.1016/S0140-6736(19)31145-6. PubMed PMID:31327564 PubMed Central PMC6717084.
31. Karjalainen, JP, Mononen, N, Hutri-Kähönen, N, Lehtimäki, M, Hilvo, M, Kauhanen, D et al.. New evidence from plasma ceramides links apoE polymorphism to greater risk of coronary artery disease in Finnish adults. J Lipid Res. 2019;60 (9):1622-1629. doi: 10.1194/jlr.M092809. PubMed PMID:31270131 PubMed Central PMC6718445.
32. Mononen, N, Lyytikäinen, LP, Seppälä, I, Mishra, PP, Juonala, M, Waldenberger, M et al.. Whole blood microRNA levels associate with glycemic status and correlate with target mRNAs in pathways important to type 2 diabetes. Sci Rep. 2019;9 (1):8887. doi: 10.1038/s41598-019-43793-4. PubMed PMID:31222113 PubMed Central PMC6586838.
33. Noordam, R, Young, WJ, Salman, R, Kanters, JK, van den Berg, ME, van Heemst, D et al.. Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected Individuals. J Am Coll Cardiol. 2019;73 (24):3118-3131. doi: 10.1016/j.jacc.2019.03.519. PubMed PMID:31221261 .
34. Talvitie, E, Hintsanen, M, Pulkki-Råback, L, Lipsanen, J, Merjonen, P, Hakulinen, C et al.. Adverse childhood environment and self-reported sleep in adulthood: The Young Finns Study. Health Psychol. 2019;38 (8):705-715. doi: 10.1037/hea0000772. PubMed PMID:31219257 .
35. Sliz, E, Kalaoja, M, Ahola-Olli, A, Raitakari, O, Perola, M, Salomaa, V et al.. Genome-wide association study identifies seven novel loci associating with circulating cytokines and cell adhesion molecules in Finns. J Med Genet. 2019;56 (9):607-616. doi: 10.1136/jmedgenet-2018-105965. PubMed PMID:31217265 PubMed Central PMC6817708.
36. Savelieva, K, Hintsanen, M, Dobewall, H, Jokela, M, Pulkki-Råback, L, Elovainio, M et al.. The role of oxytocinergic genes in the intergenerational transmission of parent-child relationship qualities. Horm Behav. 2019;114 :104540. doi: 10.1016/j.yhbeh.2019.06.004. PubMed PMID:31202819 .
37. Spracklen, CN, Karaderi, T, Yaghootkar, H, Schurmann, C, Fine, RS, Kutalik, Z et al.. Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology. Am J Hum Genet. 2019;105 (1):15-28. doi: 10.1016/j.ajhg.2019.05.002. PubMed PMID:31178129 PubMed Central PMC6612516.
38. Laitinen, TT, Vahtera, J, Pahkala, K, Magnussen, CG, Nuotio, J, Hutri-Kähönen, N et al.. Childhood Socioeconomic Disadvantage and Risk of Fatty Liver in Adulthood: The Cardiovascular Risk in Young Finns Study. Hepatology. 2020;71 (1):67-75. doi: 10.1002/hep.30804. PubMed PMID:31169929 .
39. Mandaviya, PR, Joehanes, R, Brody, J, Castillo-Fernandez, JE, Dekkers, KF, Do, AN et al.. Association of dietary folate and vitamin B-12 intake with genome-wide DNA methylation in blood: a large-scale epigenome-wide association analysis in 5841 individuals. Am J Clin Nutr. 2019;110 (2):437-450. doi: 10.1093/ajcn/nqz031. PubMed PMID:31165884 PubMed Central PMC6669135.
40. Turcot, V, Lu, Y, Highland, HM, Schurmann, C, Justice, AE, Fine, RS et al.. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2019;51 (7):1191-1192. doi: 10.1038/s41588-019-0447-2. PubMed PMID:31160809 .
41. Wuttke, M, Li, Y, Li, M, Sieber, KB, Feitosa, MF, Gorski, M et al.. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat Genet. 2019;51 (6):957-972. doi: 10.1038/s41588-019-0407-x. PubMed PMID:31152163 PubMed Central PMC6698888.
42. Mendelian Randomization of Dairy Consumption Working Group, CHARGE consortium. Dairy Intake and Body Composition and Cardiometabolic Traits among Adults: Mendelian Randomization Analysis of 182041 Individuals from 18 Studies. Clin Chem. 2019;65 (6):751-760. doi: 10.1373/clinchem.2018.300335. PubMed PMID:31138550 PubMed Central PMC6818094.
43. Sung, YJ, de Las Fuentes, L, Winkler, TW, Chasman, DI, Bentley, AR, Kraja, AT et al.. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. Hum Mol Genet. 2019;28 (15):2615-2633. doi: 10.1093/hmg/ddz070. PubMed PMID:31127295 PubMed Central PMC6644157.
44. Patrakka, O, Pienimäki, JP, Tuomisto, S, Ollikainen, J, Lehtimäki, T, Karhunen, PJ et al.. Oral Bacterial Signatures in Cerebral Thrombi of Patients With Acute Ischemic Stroke Treated With Thrombectomy. J Am Heart Assoc. 2019;8 (11):e012330. doi: 10.1161/JAHA.119.012330. PubMed PMID:31117858 PubMed Central PMC6585368.
45. Minkkinen, M, Iverson, GL, Kotilainen, AK, Pauniaho, SL, Mattila, VM, Lehtimäki, T et al.. Prospective Validation of the Scandinavian Guidelines for Initial Management of Minimal, Mild, and Moderate Head Injuries in Adults. J Neurotrauma. 2019;36 (20):2904-2912. doi: 10.1089/neu.2018.6351. PubMed PMID:31111795 .
46. Shrine, N, Guyatt, AL, Erzurumluoglu, AM, Jackson, VE, Hobbs, BD, Melbourne, CA et al.. Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nat Genet. 2019;51 (6):1067. doi: 10.1038/s41588-019-0438-3. PubMed PMID:31110354 .
47. Puura, K, Leppänen, J, Salmelin, R, Mäntymaa, M, Luoma, I, Latva, R et al.. Maternal and infant characteristics connected to shared pleasure in dyadic interaction. Infant Ment Health J. 2019;40 (4):459-478. doi: 10.1002/imhj.21786. PubMed PMID:31083770 .
48. Jia, Q, Han, Y, Huang, P, Woodward, NC, Gukasyan, J, Kettunen, J et al.. Genetic Determinants of Circulating Glycine Levels and Risk of Coronary Artery Disease. J Am Heart Assoc. 2019;8 (10):e011922. doi: 10.1161/JAHA.119.011922. PubMed PMID:31070104 PubMed Central PMC6585317.
49. NCD Risk Factor Collaboration (NCD-RisC). Rising rural body-mass index is the main driver of the global obesity epidemic in adults. Nature. 2019;569 (7755):260-264. doi: 10.1038/s41586-019-1171-x. PubMed PMID:31068725 PubMed Central PMC6784868.
50. Rimpelä, JM, Niiranen, T, Jula, A, Pörsti, IH, Tikkakoski, A, Havulinna, A et al.. Genome-wide association study of white-coat effect in hypertensive patients. Blood Press. 2019;28 (4):239-249. doi: 10.1080/08037051.2019.1604066. PubMed PMID:31044621 .
51. Warrington, NM, Beaumont, RN, Horikoshi, M, Day, FR, Helgeland, Ø, Laurin, C et al.. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors. Nat Genet. 2019;51 (5):804-814. doi: 10.1038/s41588-019-0403-1. PubMed PMID:31043758 PubMed Central PMC6522365.
52. Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD et al.. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nat Commun. 2019;10 (1):2068. doi: 10.1038/s41467-019-10160-w. PubMed PMID:31043617 PubMed Central PMC6494826.
53. Hernesniemi, JA, Mahdiani, S, Tynkkynen, JA, Lyytikäinen, LP, Mishra, PP, Lehtimäki, T et al.. Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome – the MADDEC study. Ann Med. 2019;51 (2):156-163. doi: 10.1080/07853890.2019.1596302. PubMed PMID:31030570 .
54. Fiorito, G, McCrory, C, Robinson, O, Carmeli, C, Rosales, CO, Zhang, Y et al.. Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis. Aging (Albany NY). 2019;11 (7):2045-2070. doi: 10.18632/aging.101900. PubMed PMID:31009935 PubMed Central PMC6503871.
55. Bentley, AR, Sung, YJ, Brown, MR, Winkler, TW, Kraja, AT, Ntalla, I et al.. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat Genet. 2019;51 (4):636-648. doi: 10.1038/s41588-019-0378-y. PubMed PMID:30926973 PubMed Central PMC6467258.
56. Pehkonen, J, Viinikainen, J, Böckerman, P, Pitkänen, N, Lehtimäki, T, Raitakari, O et al.. Health endowment and later-life outcomes in the labour market: Evidence using genetic risk scores and reduced-form models. SSM Popul Health. 2019;7 :100379. doi: 10.1016/j.ssmph.2019.100379. PubMed PMID:30906844 PubMed Central PMC6411586.
57. Heiskanen, JS, Ruohonen, S, Rovio, SP, Kytö, V, Kähönen, M, Lehtimäki, T et al.. Determinants of left ventricular diastolic function-The Cardiovascular Risk in Young Finns Study. Echocardiography. 2019;36 (5):854-861. doi: 10.1111/echo.14321. PubMed PMID:30905083 .
58. Patel, RS, Schmidt, AF, Tragante, V, McCubrey, RO, Holmes, MV, Howe, LJ et al.. Association of Chromosome 9p21 With Subsequent Coronary Heart Disease Events. Circ Genom Precis Med. 2019;12 (4):e002471. doi: 10.1161/CIRCGEN.119.002471. PubMed PMID:30897348 PubMed Central PMC6625876.
59. Patel, RS, Tragante, V, Schmidt, AF, McCubrey, RO, Holmes, MV, Howe, LJ et al.. Subsequent Event Risk in Individuals With Established Coronary Heart Disease. Circ Genom Precis Med. 2019;12 (4):e002470. doi: 10.1161/CIRCGEN.119.002470. PubMed PMID:30896328 PubMed Central PMC6629546.
60. Middeldorp, CM, Felix, JF, Mahajan, A, EArly Genetics Lifecourse Epidemiology (EAGLE) consortium, Early Growth Genetics (EGG) consortium, McCarthy, MI et al.. The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects. Eur J Epidemiol. 2019;34 (3):279-300. doi: 10.1007/s10654-019-00502-9. PubMed PMID:30887376 PubMed Central PMC6447695.
61. Zwir, I, Mishra, P, Del-Val, C, Gu, CC, de Erausquin, GA, Lehtimäki, T et al.. Uncovering the complex genetics of human personality: response from authors on the PGMRA Model. Mol Psychiatry. 2020;25 (10):2210-2213. doi: 10.1038/s41380-019-0399-z. PubMed PMID:30886336 PubMed Central PMC7515846.
62. Latva-Rasku, A, Honka, MJ, Kullberg, J, Mononen, N, Lehtimäki, T, Saltevo, J et al.. The SGLT2 Inhibitor Dapagliflozin Reduces Liver Fat but Does Not Affect Tissue Insulin Sensitivity: A Randomized, Double-Blind, Placebo-Controlled Study With 8-Week Treatment in Type 2 Diabetes Patients. Diabetes Care. 2019;42 (5):931-937. doi: 10.2337/dc18-1569. PubMed PMID:30885955 .
63. Saarinen, A, Keltikangas-Järvinen, L, Cloninger, CR, Veijola, J, Elovainio, M, Lehtimäki, T et al.. The relationship of dispositional compassion for others with depressive symptoms over a 15-year prospective follow-up. J Affect Disord. 2019;250 :354-362. doi: 10.1016/j.jad.2019.03.029. PubMed PMID:30877858 .
64. Lea, A, Subramaniam, M, Ko, A, Lehtimäki, T, Raitoharju, E, Kähönen, M et al.. Genetic and environmental perturbations lead to regulatory decoherence. Elife. 2019;8 :. doi: 10.7554/eLife.40538. PubMed PMID:30834892 PubMed Central PMC6400502.
65. Sakornsakolpat, P, Prokopenko, D, Lamontagne, M, Reeve, NF, Guyatt, AL, Jackson, VE et al.. Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations. Nat Genet. 2019;51 (3):494-505. doi: 10.1038/s41588-018-0342-2. PubMed PMID:30804561 PubMed Central PMC6546635.
66. Shrine, N, Guyatt, AL, Erzurumluoglu, AM, Jackson, VE, Hobbs, BD, Melbourne, CA et al.. New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nat Genet. 2019;51 (3):481-493. doi: 10.1038/s41588-018-0321-7. PubMed PMID:30804560 PubMed Central PMC6397078.
67. Dörr, M, Hamburg, NM, Müller, C, Smith, NL, Gustafsson, S, Lehtimäki, T et al.. Common Genetic Variation in Relation to Brachial Vascular Dimensions and Flow-Mediated Vasodilation. Circ Genom Precis Med. 2019;12 (2):e002409. doi: 10.1161/CIRCGEN.118.002409. PubMed PMID:30779634 PubMed Central PMC7835110.
68. Justice, AE, Karaderi, T, Highland, HM, Young, KL, Graff, M, Lu, Y et al.. Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat Genet. 2019;51 (3):452-469. doi: 10.1038/s41588-018-0334-2. PubMed PMID:30778226 PubMed Central PMC6560635.
69. Juonala, M, Pitkänen, N, Tolonen, S, Laaksonen, M, Sievänen, H, Jokinen, E et al.. Childhood Exposure to Passive Smoking and Bone Health in Adulthood: The Cardiovascular Risk in Young Finns Study. J Clin Endocrinol Metab. 2019;104 (6):2403-2411. doi: 10.1210/jc.2018-02501. PubMed PMID:30715377 .
70. Pyysalo, MJ, Mishra, PP, Sundström, K, Lehtimäki, T, Karhunen, PJ, Pessi, T et al.. Increased tooth brushing frequency is associated with reduced gingival pocket bacterial diversity in patients with intracranial aneurysms. PeerJ. 2019;7 :e6316. doi: 10.7717/peerj.6316. PubMed PMID:30701137 PubMed Central PMC6348950.
71. de Vries, PS, Brown, MR, Bentley, AR, Sung, YJ, Winkler, TW, Ntalla, I et al.. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. Am J Epidemiol. 2019;188 (6):1033-1054. doi: 10.1093/aje/kwz005. PubMed PMID:30698716 PubMed Central PMC6545280.
72. van Setten, J, Verweij, N, Mbarek, H, Niemeijer, MN, Trompet, S, Arking, DE et al.. Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits. Eur J Hum Genet. 2019;27 (6):952-962. doi: 10.1038/s41431-018-0295-z. PubMed PMID:30679814 PubMed Central PMC6777533.
73. Karjalainen, JP, Mononen, N, Hutri-Kähönen, N, Lehtimäki, M, Juonala, M, Ala-Korpela, M et al.. The effect of apolipoprotein E polymorphism on serum metabolome – a population-based 10-year follow-up study. Sci Rep. 2019;9 (1):458. doi: 10.1038/s41598-018-36450-9. PubMed PMID:30679475 PubMed Central PMC6346097.
74. Kilpeläinen, TO, Bentley, AR, Noordam, R, Sung, YJ, Schwander, K, Winkler, TW et al.. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat Commun. 2019;10 (1):376. doi: 10.1038/s41467-018-08008-w. PubMed PMID:30670697 PubMed Central PMC6342931.
75. Chauhan, G, Adams, HHH, Satizabal, CL, Bis, JC, Teumer, A, Sargurupremraj, M et al.. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting. Neurology. 2019; :. doi: 10.1212/WNL.0000000000006851. PubMed PMID:30651383 PubMed Central PMC6369905.
76. Karlsson Linnér, R, Biroli, P, Kong, E, Meddens, SFW, Wedow, R, Fontana, MA et al.. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nat Genet. 2019;51 (2):245-257. doi: 10.1038/s41588-018-0309-3. PubMed PMID:30643258 PubMed Central PMC6713272.
77. Wu, F, Juonala, M, Pahkala, K, Buscot, MJ, Sabin, MA, Pitkänen, N et al.. Youth and Long-Term Dietary Calcium Intake With Risk of Impaired Glucose Metabolism and Type 2 Diabetes in Adulthood. J Clin Endocrinol Metab. 2019;104 (6):2067-2074. doi: 10.1210/jc.2018-02321. PubMed PMID:30629189 .
78. Laaksonen, J, Seppälä, I, Raitoharju, E, Mononen, N, Lyytikäinen, LP, Waldenberger, M et al.. Discovery of mitochondrial DNA variants associated with genome-wide blood cell gene expression: a population-based mtDNA sequencing study. Hum Mol Genet. 2019;28 (8):1381-1391. doi: 10.1093/hmg/ddz011. PubMed PMID:30629177 .
79. Adlam, D, Olson, TM, Combaret, N, Kovacic, JC, Iismaa, SE, Al-Hussaini, A et al.. Association of the PHACTR1/EDN1 Genetic Locus With Spontaneous Coronary Artery Dissection. J Am Coll Cardiol. 2019;73 (1):58-66. doi: 10.1016/j.jacc.2018.09.085. PubMed PMID:30621952 .
80. Nissinen, SI, Roine, A, Hokkinen, L, Karjalainen, M, Venäläinen, M, Helminen, H et al.. Detection of Pancreatic Cancer by Urine Volatile Organic Compound Analysis. Anticancer Res. 2019;39 (1):73-79. doi: 10.21873/anticanres.13081. PubMed PMID:30591442 .
81. Vähämurto, L, Pahkala, K, Magnussen, CG, Hutri-Kähönen, N, Kähönen, M, Laitinen, T et al.. Coronary heart disease risk factor levels in eastern and western Finland from 1980 to 2011 in the cardiovascular risk in Young Finns study. Atherosclerosis. 2019;280 :92-98. doi: 10.1016/j.atherosclerosis.2018.11.007. PubMed PMID:30496985 .
82. Sivertsen, EA, Haug, KBF, Kristianslund, EK, Trøseid, AS, Parkkari, J, Lehtimäki, T et al.. No Association Between Risk of Anterior Cruciate Ligament Rupture and Selected Candidate Collagen Gene Variants in Female Elite Athletes From High-Risk Team Sports. Am J Sports Med. 2019;47 (1):52-58. doi: 10.1177/0363546518808467. PubMed PMID:30485117 .
83. Dobewall, H, Savelieva, K, Seppälä, I, Knafo-Noam, A, Hakulinen, C, Elovainio, M et al.. Gene-environment correlations in parental emotional warmth and intolerance: genome-wide analysis over two generations of the Young Finns Study. J Child Psychol Psychiatry. 2019;60 (3):277-285. doi: 10.1111/jcpp.12995. PubMed PMID:30357825 .
84. Salokari, E, Laukkanen, JA, Lehtimaki, T, Kurl, S, Kunutsor, S, Zaccardi, F et al.. The Duke treadmill score with bicycle ergometer: Exercise capacity is the most important predictor of cardiovascular mortality. Eur J Prev Cardiol. 2019;26 (2):199-207. doi: 10.1177/2047487318804618. PubMed PMID:30354741 PubMed Central PMC6330693.
85. Colijn, JM, den Hollander, AI, Demirkan, A, Cougnard-Grégoire, A, Verzijden, T, Kersten, E et al.. Increased High-Density Lipoprotein Levels Associated with Age-Related Macular Degeneration: Evidence from the EYE-RISK and European Eye Epidemiology Consortia. Ophthalmology. 2019;126 (3):393-406. doi: 10.1016/j.ophtha.2018.09.045. PubMed PMID:30315903 .
86. Gluschkoff, K, Pulkki-Råback, L, Elovainio, M, Saarinen, A, Tammelin, T, Hirvensalo, M et al.. Is It Good To Be Good? Dispositional Compassion and Health Behaviors. Ann Behav Med. 2019;53 (7):665-673. doi: 10.1093/abm/kay075. PubMed PMID:30256889 .
87. Savolainen, AM, Karmi, A, Immonen, H, Soinio, M, Saunavaara, V, Pham, T et al.. Physical Activity Associates with Muscle Insulin Sensitivity Postbariatric Surgery. Med Sci Sports Exerc. 2019;51 (2):278-287. doi: 10.1249/MSS.0000000000001778. PubMed PMID:30247434 PubMed Central PMC6336486.
88. Gattoussi, S, Buitendijk, GHS, Peto, T, Leung, I, Schmitz-Valckenberg, S, Oishi, A et al.. The European Eye Epidemiology spectral-domain optical coherence tomography classification of macular diseases for epidemiological studies. Acta Ophthalmol. 2019;97 (4):364-371. doi: 10.1111/aos.13883. PubMed PMID:30242982 .
89. Böckerman, P, Cawley, J, Viinikainen, J, Lehtimäki, T, Rovio, S, Seppälä, I et al.. The effect of weight on labor market outcomes: An application of genetic instrumental variables. Health Econ. 2019;28 (1):65-77. doi: 10.1002/hec.3828. PubMed PMID:30240095 PubMed Central PMC6585973.
90. Merino, J, Dashti, HS, Li, SX, Sarnowski, C, Justice, AE, Graff, M et al.. Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium. Mol Psychiatry. 2019;24 (12):1920-1932. doi: 10.1038/s41380-018-0079-4. PubMed PMID:29988085 PubMed Central PMC6326896.
91. Törnroos, M, Elovainio, M, Hintsa, T, Hintsanen, M, Pulkki-Råback, L, Jokela, M et al.. Personality traits and perceptions of organisational justice. Int J Psychol. 2019;54 (3):414-422. doi: 10.1002/ijop.12472. PubMed PMID:29313976 .

Search PubMed

2018

1. Kettunen, J, Ritchie, SC, Anufrieva, O, Lyytikäinen, LP, Hernesniemi, J, Karhunen, PJ et al.. Biomarker Glycoprotein Acetyls Is Associated With the Risk of a Wide Spectrum of Incident Diseases and Stratifies Mortality Risk in Angiography Patients. Circ Genom Precis Med. 2018;11 (11):e002234. doi: 10.1161/CIRCGEN.118.002234. PubMed PMID:30571186 .
2. Franceschini, N, Giambartolomei, C, de Vries, PS, Finan, C, Bis, JC, Huntley, RP et al.. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes. Nat Commun. 2018;9 (1):5141. doi: 10.1038/s41467-018-07340-5. PubMed PMID:30510157 PubMed Central PMC6277418.
3. Vähämurto, L, Pahkala, K, Magnussen, CG, Hutri-Kähönen, N, Kähönen, M, Laitinen, T et al.. Coronary heart disease risk factor levels in eastern and western Finland from 1980 to 2011 in the cardiovascular risk in Young Finns study. Atherosclerosis. 2019;280 :92-98. doi: 10.1016/j.atherosclerosis.2018.11.007. PubMed PMID:30496985 .
4. Takeuchi, F, Akiyama, M, Matoba, N, Katsuya, T, Nakatochi, M, Tabara, Y et al.. Interethnic analyses of blood pressure loci in populations of East Asian and European descent. Nat Commun. 2018;9 (1):5052. doi: 10.1038/s41467-018-07345-0. PubMed PMID:30487518 PubMed Central PMC6261994.
5. Sivertsen, EA, Haug, KBF, Kristianslund, EK, Trøseid, AS, Parkkari, J, Lehtimäki, T et al.. No Association Between Risk of Anterior Cruciate Ligament Rupture and Selected Candidate Collagen Gene Variants in Female Elite Athletes From High-Risk Team Sports. Am J Sports Med. 2019;47 (1):52-58. doi: 10.1177/0363546518808467. PubMed PMID:30485117 .
6. Parmar, P, Lowry, E, Cugliari, G, Suderman, M, Wilson, R, Karhunen, V et al.. Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults. EBioMedicine. 2018;38 :206-216. doi: 10.1016/j.ebiom.2018.10.066. PubMed PMID:30442561 PubMed Central PMC6306313.
7. Evangelou, E, Warren, HR, Mosen-Ansorena, D, Mifsud, B, Pazoki, R, Gao, H et al.. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet. 2018;50 (12):1755. doi: 10.1038/s41588-018-0297-3. PubMed PMID:30429575 .
8. Oksman, E, Rosenström, T, Hintsanen, M, Pulkki-Råback, L, Viikari, J, Lehtimäki, T et al.. A Longitudinal Multilevel Study of the “Social” Genotype and Diversity of the Phenotype. Front Psychol. 2018;9 :2034. doi: 10.3389/fpsyg.2018.02034. PubMed PMID:30405505 PubMed Central PMC6207617.
9. Ligthart, S, Vaez, A, Võsa, U, Stathopoulou, MG, de Vries, PS, Prins, BP et al.. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. Am J Hum Genet. 2018;103 (5):691-706. doi: 10.1016/j.ajhg.2018.09.009. PubMed PMID:30388399 PubMed Central PMC6218410.
10. Campbell, MD, Laitinen, TT, Hughes, A, Pahkala, K, Juonala, M, Kähönen, M et al.. Impact of Ideal Cardiovascular Health in Childhood on the Retinal Microvasculature in Midadulthood: Cardiovascular Risk in Young Finns Study. J Am Heart Assoc. 2018;7 (20):e009487. doi: 10.1161/JAHA.118.009487. PubMed PMID:30371260 PubMed Central PMC6474976.
11. Dobewall, H, Savelieva, K, Seppälä, I, Knafo-Noam, A, Hakulinen, C, Elovainio, M et al.. Gene-environment correlations in parental emotional warmth and intolerance: genome-wide analysis over two generations of the Young Finns Study. J Child Psychol Psychiatry. 2019;60 (3):277-285. doi: 10.1111/jcpp.12995. PubMed PMID:30357825 .
12. Salokari, E, Laukkanen, JA, Lehtimaki, T, Kurl, S, Kunutsor, S, Zaccardi, F et al.. The Duke treadmill score with bicycle ergometer: Exercise capacity is the most important predictor of cardiovascular mortality. Eur J Prev Cardiol. 2019;26 (2):199-207. doi: 10.1177/2047487318804618. PubMed PMID:30354741 PubMed Central PMC6330693.
13. Rinne, P, Guillamat-Prats, R, Rami, M, Bindila, L, Ring, L, Lyytikäinen, LP et al.. Palmitoylethanolamide Promotes a Proresolving Macrophage Phenotype and Attenuates Atherosclerotic Plaque Formation. Arterioscler Thromb Vasc Biol. 2018;38 (11):2562-2575. doi: 10.1161/ATVBAHA.118.311185. PubMed PMID:30354245 .
14. Barrios, C, Zierer, J, Würtz, P, Haller, T, Metspalu, A, Gieger, C et al.. Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations. Sci Rep. 2018;8 (1):15249. doi: 10.1038/s41598-018-33507-7. PubMed PMID:30323304 PubMed Central PMC6189123.
15. Colijn, JM, den Hollander, AI, Demirkan, A, Cougnard-Grégoire, A, Verzijden, T, Kersten, E et al.. Increased High-Density Lipoprotein Levels Associated with Age-Related Macular Degeneration: Evidence from the EYE-RISK and European Eye Epidemiology Consortia. Ophthalmology. 2019;126 (3):393-406. doi: 10.1016/j.ophtha.2018.09.045. PubMed PMID:30315903 .
16. Rinne, P, Lyytikäinen, LP, Raitoharju, E, Kadiri, JJ, Kholova, I, Kähönen, M et al.. Pro-opiomelanocortin and its Processing Enzymes Associate with Plaque Stability in Human Atherosclerosis – Tampere Vascular Study. Sci Rep. 2018;8 (1):15078. doi: 10.1038/s41598-018-33523-7. PubMed PMID:30305673 PubMed Central PMC6180013.
17. Zwir, I, Arnedo, J, Del-Val, C, Pulkki-Råback, L, Konte, B, Yang, SS et al.. Uncovering the complex genetics of human character. Mol Psychiatry. 2020;25 (10):2295-2312. doi: 10.1038/s41380-018-0263-6. PubMed PMID:30283034 PubMed Central PMC7515844.
18. Zwir, I, Arnedo, J, Del-Val, C, Pulkki-Råback, L, Konte, B, Yang, SS et al.. Uncovering the complex genetics of human temperament. Mol Psychiatry. 2020;25 (10):2275-2294. doi: 10.1038/s41380-018-0264-5. PubMed PMID:30279457 PubMed Central PMC7515831.
19. Gattoussi, S, Buitendijk, GHS, Peto, T, Leung, I, Schmitz-Valckenberg, S, Oishi, A et al.. The European Eye Epidemiology spectral-domain optical coherence tomography classification of macular diseases for epidemiological studies. Acta Ophthalmol. 2019;97 (4):364-371. doi: 10.1111/aos.13883. PubMed PMID:30242982 .
20. Böckerman, P, Cawley, J, Viinikainen, J, Lehtimäki, T, Rovio, S, Seppälä, I et al.. The effect of weight on labor market outcomes: An application of genetic instrumental variables. Health Econ. 2019;28 (1):65-77. doi: 10.1002/hec.3828. PubMed PMID:30240095 PubMed Central PMC6585973.
21. Evangelou, E, Warren, HR, Mosen-Ansorena, D, Mifsud, B, Pazoki, R, Gao, H et al.. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet. 2018;50 (10):1412-1425. doi: 10.1038/s41588-018-0205-x. PubMed PMID:30224653 PubMed Central PMC6284793.
22. Gormley, P, Kurki, MI, Hiekkala, ME, Veerapen, K, Häppölä, P, Mitchell, AA et al.. Common Variant Burden Contributes to the Familial Aggregation of Migraine in 1,589 Families. Neuron. 2018;99 (5):1098. doi: 10.1016/j.neuron.2018.08.029. PubMed PMID:30189203 .
23. Jackson, VE, Latourelle, JC, Wain, LV, Smith, AV, Grove, ML, Bartz, TM et al.. Meta-analysis of exome array data identifies six novel genetic loci for lung function. Wellcome Open Res. 2018;3 :4. doi: 10.12688/wellcomeopenres.12583.3. PubMed PMID:30175238 PubMed Central PMC6081985.
24. Trajanoska, K, Morris, JA, Oei, L, Zheng, HF, Evans, DM, Kiel, DP et al.. Assessment of the genetic and clinical determinants of fracture risk: genome wide association and mendelian randomisation study. BMJ. 2018;362 :k3225. doi: 10.1136/bmj.k3225. PubMed PMID:30158200 PubMed Central PMC6113773.
25. Viinikainen, J, Bryson, A, Böckerman, P, Elovainio, M, Pitkänen, N, Pulkki-Råback, L et al.. Does education protect against depression? Evidence from the Young Finns Study using Mendelian randomization. Prev Med. 2018;115 :134-139. doi: 10.1016/j.ypmed.2018.08.026. PubMed PMID:30145350 .
26. Bis, JC, Jian, X, Kunkle, BW, Chen, Y, Hamilton-Nelson, KL, Bush, WS et al.. Whole exome sequencing study identifies novel rare and common Alzheimer’s-Associated variants involved in immune response and transcriptional regulation. Mol Psychiatry. 2020;25 (8):1859-1875. doi: 10.1038/s41380-018-0112-7. PubMed PMID:30108311 PubMed Central PMC6375806.
27. Xue, A, Wu, Y, Zhu, Z, Zhang, F, Kemper, KE, Zheng, Z et al.. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nat Commun. 2018;9 (1):2941. doi: 10.1038/s41467-018-04951-w. PubMed PMID:30054458 PubMed Central PMC6063971.
28. van Setten, J, Brody, JA, Jamshidi, Y, Swenson, BR, Butler, AM, Campbell, H et al.. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity. Nat Commun. 2018;9 (1):2904. doi: 10.1038/s41467-018-04766-9. PubMed PMID:30046033 PubMed Central PMC6060178.
29. Lee, JJ, Wedow, R, Okbay, A, Kong, E, Maghzian, O, Zacher, M et al.. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat Genet. 2018;50 (8):1112-1121. doi: 10.1038/s41588-018-0147-3. PubMed PMID:30038396 PubMed Central PMC6393768.
30. Prins, BP, Mead, TJ, Brody, JA, Sveinbjornsson, G, Ntalla, I, Bihlmeyer, NA et al.. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biol. 2018;19 (1):87. doi: 10.1186/s13059-018-1457-6. PubMed PMID:30012220 PubMed Central PMC6048820.
31. Yang, Y, Zhao, H, Boomsma, DI, Ligthart, L, Belin, AC, Smith, GD et al.. Molecular genetic overlap between migraine and major depressive disorder. Eur J Hum Genet. 2018;26 (8):1202-1216. doi: 10.1038/s41431-018-0150-2. PubMed PMID:29995844 PubMed Central PMC6057914.
32. Merino, J, Dashti, HS, Li, SX, Sarnowski, C, Justice, AE, Graff, M et al.. Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium. Mol Psychiatry. 2019;24 (12):1920-1932. doi: 10.1038/s41380-018-0079-4. PubMed PMID:29988085 PubMed Central PMC6326896.
33. Taipale, T, Seppälä, I, Raitoharju, E, Mononen, N, Lyytikäinen, LP, Illig, T et al.. Fatty liver is associated with blood pathways of inflammatory response, immune system activation and prothrombotic state in Young Finns Study. Sci Rep. 2018;8 (1):10358. doi: 10.1038/s41598-018-28563-y. PubMed PMID:29985430 PubMed Central PMC6037671.
34. Rimpelä, JM, Pörsti, IH, Jula, A, Lehtimäki, T, Niiranen, TJ, Oikarinen, L et al.. Genome-wide association study of nocturnal blood pressure dipping in hypertensive patients. BMC Med Genet. 2018;19 (1):110. doi: 10.1186/s12881-018-0624-7. PubMed PMID:29973135 PubMed Central PMC6032801.
35. Sun, C, Ponsonby, AL, Carlin, JB, Bui, M, Magnussen, CG, Burns, TL et al.. Childhood adiposity, adult adiposity, and the ACE gene insertion/deletion polymorphism: evidence of gene-environment interaction effects on adult blood pressure and hypertension status in adulthood. J Hypertens. 2018;36 (11):2168-2176. doi: 10.1097/HJH.0000000000001816. PubMed PMID:29939946 PubMed Central PMC6452450.
36. Haworth, S, Shungin, D, van der Tas, JT, Vucic, S, Medina-Gomez, C, Yakimov, V et al.. Consortium-based genome-wide meta-analysis for childhood dental caries traits. Hum Mol Genet. 2018;27 (17):3113-3127. doi: 10.1093/hmg/ddy237. PubMed PMID:29931343 PubMed Central PMC6097157.
37. Brainstorm Consortium, Anttila, V, Bulik-Sullivan, B, Finucane, HK, Walters, RK, Bras, J et al.. Analysis of shared heritability in common disorders of the brain. Science. 2018;360 (6395):. doi: 10.1126/science.aap8757. PubMed PMID:29930110 PubMed Central PMC6097237.
38. Feitosa, MF, Kraja, AT, Chasman, DI, Sung, YJ, Winkler, TW, Ntalla, I et al.. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. PLoS One. 2018;13 (6):e0198166. doi: 10.1371/journal.pone.0198166. PubMed PMID:29912962 PubMed Central PMC6005576.
39. Bhosale, SD, Moulder, R, Venäläinen, MS, Koskinen, JS, Pitkänen, N, Juonala, MT et al.. Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis. Sci Rep. 2018;8 (1):9209. doi: 10.1038/s41598-018-27265-9. PubMed PMID:29907817 PubMed Central PMC6003912.
40. Roselli, C, Chaffin, MD, Weng, LC, Aeschbacher, S, Ahlberg, G, Albert, CM et al.. Multi-ethnic genome-wide association study for atrial fibrillation. Nat Genet. 2018;50 (9):1225-1233. doi: 10.1038/s41588-018-0133-9. PubMed PMID:29892015 PubMed Central PMC6136836.
41. Qi, T, Wu, Y, Zeng, J, Zhang, F, Xue, A, Jiang, L et al.. Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. Nat Commun. 2018;9 (1):2282. doi: 10.1038/s41467-018-04558-1. PubMed PMID:29891976 PubMed Central PMC5995828.
42. Bihlmeyer, NA, Brody, JA, Smith, AV, Warren, HR, Lin, H, Isaacs, A et al.. ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals. Circ Genom Precis Med. 2018;11 (1):e001758. doi: 10.1161/CIRCGEN.117.001758. PubMed PMID:29874175 PubMed Central PMC5992491.
43. Akbaraly, T, Würtz, P, Singh-Manoux, A, Shipley, MJ, Haapakoski, R, Lehto, M et al.. Association of circulating metabolites with healthy diet and risk of cardiovascular disease: analysis of two cohort studies. Sci Rep. 2018;8 (1):8620. doi: 10.1038/s41598-018-26441-1. PubMed PMID:29872056 PubMed Central PMC5988716.
44. Venäläinen, MK, Roine, AN, Häkkinen, MR, Vepsäläinen, JJ, Kumpulainen, PS, Kiviniemi, MS et al.. Altered Polyamine Profiles in Colorectal Cancer. Anticancer Res. 2018;38 (6):3601-3607. doi: 10.21873/anticanres.12634. PubMed PMID:29848716 .
45. Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD et al.. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nat Commun. 2018;9 (1):2098. doi: 10.1038/s41467-018-04362-x. PubMed PMID:29844566 PubMed Central PMC5974083.
46. Tedja, MS, Wojciechowski, R, Hysi, PG, Eriksson, N, Furlotte, NA, Verhoeven, VJM et al.. Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error. Nat Genet. 2018;50 (6):834-848. doi: 10.1038/s41588-018-0127-7. PubMed PMID:29808027 PubMed Central PMC5980758.
47. Nissinen, MJ, Pitkänen, N, Simonen, P, Gylling, H, Viikari, J, Raitakari, O et al.. Genetic polymorphism of sterol transporters in children with future gallstones. Dig Liver Dis. 2018;50 (9):954-960. doi: 10.1016/j.dld.2018.04.007. PubMed PMID:29764733 .
48. Zhou, A, Taylor, AE, Karhunen, V, Zhan, Y, Rovio, SP, Lahti, J et al.. Habitual coffee consumption and cognitive function: a Mendelian randomization meta-analysis in up to 415,530 participants. Sci Rep. 2018;8 (1):7526. doi: 10.1038/s41598-018-25919-2. PubMed PMID:29760501 PubMed Central PMC5951917.
49. Lin, H, van Setten, J, Smith, AV, Bihlmeyer, NA, Warren, HR, Brody, JA et al.. Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval. Circ Genom Precis Med. 2018;11 (5):e002037. doi: 10.1161/CIRCGEN.117.002037. PubMed PMID:29748316 PubMed Central PMC5951629.
50. Gormley, P, Kurki, MI, Hiekkala, ME, Veerapen, K, Häppölä, P, Mitchell, AA et al.. Common Variant Burden Contributes to the Familial Aggregation of Migraine in 1,589 Families. Neuron. 2018;98 (4):743-753.e4. doi: 10.1016/j.neuron.2018.04.014. PubMed PMID:29731251 PubMed Central PMC5967411.
51. Mauschitz, MM, Bonnemaijer, PWM, Diers, K, Rauscher, FG, Elze, T, Engel, C et al.. Systemic and Ocular Determinants of Peripapillary Retinal Nerve Fiber Layer Thickness Measurements in the European Eye Epidemiology (E3) Population. Ophthalmology. 2018;125 (10):1526-1536. doi: 10.1016/j.ophtha.2018.03.026. PubMed PMID:29716786 .
52. Dobewall, H, Hakulinen, C, Keltikangas-Järvinen, L, Pulkki-Råback, L, Seppälä, I, Lehtimäki, T et al.. Oxytocin receptor gene (OXTR) variant rs1042778 moderates the influence of family environment on changes in perceived social support over time. J Affect Disord. 2018;235 :480-488. doi: 10.1016/j.jad.2018.04.008. PubMed PMID:29680729 .
53. Sliz, E, Sebert, S, Würtz, P, Kangas, AJ, Soininen, P, Lehtimäki, T et al.. NAFLD risk alleles in PNPLA3, TM6SF2, GCKR and LYPLAL1 show divergent metabolic effects. Hum Mol Genet. 2018;27 (12):2214-2223. doi: 10.1093/hmg/ddy124. PubMed PMID:29648650 PubMed Central PMC5985737.
54. Buscot, MJ, Thomson, RJ, Juonala, M, Sabin, MA, Burgner, DP, Lehtimäki, T et al.. Distinct child-to-adult body mass index trajectories are associated with different levels of adult cardiometabolic risk. Eur Heart J. 2018;39 (24):2263-2270. doi: 10.1093/eurheartj/ehy161. PubMed PMID:29635282 .
55. Solismaa, A, Kampman, O, Lyytikäinen, LP, Seppälä, N, Viikki, M, Mononen, N et al.. Genetic Polymorphisms Associated With Constipation and Anticholinergic Symptoms in Patients Receiving Clozapine. J Clin Psychopharmacol. 2018;38 (3):193-199. doi: 10.1097/JCP.0000000000000885. PubMed PMID:29620694 .
56. NCD Risk Factor Collaboration (NCD-RisC)
    . Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants. Int J Epidemiol. 2018;47 (3):872-883i. doi: 10.1093/ije/dyy016. PubMed PMID:29579276 PubMed Central PMC6005056.
57. Erhart, G, Lamina, C, Lehtimäki, T, Marques-Vidal, P, Kähönen, M, Vollenweider, P et al.. Genetic Factors Explain a Major Fraction of the 50% Lower Lipoprotein(a) Concentrations in Finns. Arterioscler Thromb Vasc Biol. 2018;38 (5):1230-1241. doi: 10.1161/ATVBAHA.118.310865. PubMed PMID:29567679 PubMed Central PMC5943067.
58. Turcot, V, Lu, Y, Highland, HM, Schurmann, C, Justice, AE, Fine, RS et al.. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50 (5):766-767. doi: 10.1038/s41588-018-0082-3. PubMed PMID:29549330 .
59. Turcot, V, Lu, Y, Highland, HM, Schurmann, C, Justice, AE, Fine, RS et al.. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50 (5):765-766. doi: 10.1038/s41588-018-0050-y. PubMed PMID:29549329 .
60. Delcourt, C, Le Goff, M, von Hanno, T, Mirshahi, A, Khawaja, AP, Verhoeven, VJM et al.. The Decreasing Prevalence of Nonrefractive Visual Impairment in Older Europeans: A Meta-analysis of Published and Unpublished Data. Ophthalmology. 2018;125 (8):1149-1159. doi: 10.1016/j.ophtha.2018.02.005. PubMed PMID:29548645 .
61. Tynkkynen, J, Chouraki, V, van der Lee, SJ, Hernesniemi, J, Yang, Q, Li, S et al.. Association of branched-chain amino acids and other circulating metabolites with risk of incident dementia and Alzheimer’s disease: A prospective study in eight cohorts. Alzheimers Dement. 2018;14 (6):723-733. doi: 10.1016/j.jalz.2018.01.003. PubMed PMID:29519576 PubMed Central PMC6082422.
62. Tolonen, S, Sievänen, H, Hirvensalo, M, Laaksonen, M, Mikkilä, V, Pälve, K et al.. Higher step count is associated with greater bone mass and strength in women but not in men. Arch Osteoporos. 2018;13 (1):20. doi: 10.1007/s11657-018-0425-9. PubMed PMID:29511893 .
63. Saarinen, AIL, Rosenström, TH, Hakulinen, CA, Cloninger, CR, Hintsanen, MHM, Pulkki-Råback, LM et al.. Longitudinal Associations of Explosive and Adventurous Temperament Profiles With Character Development: The Modifying Effects of Social Support and Attachment. J Clin Psychiatry. ;79 (2):. doi: 10.4088/JCP.17m11587. PubMed PMID:29469244 .
64. Sung, YJ, Winkler, TW, de Las Fuentes, L, Bentley, AR, Brown, MR, Kraja, AT et al.. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet. 2018;102 (3):375-400. doi: 10.1016/j.ajhg.2018.01.015. PubMed PMID:29455858 PubMed Central PMC5985266.
65. Jiang, X, O’Reilly, PF, Aschard, H, Hsu, YH, Richards, JB, Dupuis, J et al.. Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nat Commun. 2018;9 (1):260. doi: 10.1038/s41467-017-02662-2. PubMed PMID:29343764 PubMed Central PMC5772647.
66. Saviauk, T, Kiiski, JP, Nieminen, MK, Tamminen, NN, Roine, AN, Kumpulainen, PS et al.. Electronic Nose in the Detection of Wound Infection Bacteria from Bacterial Cultures: A Proof-of-Principle Study. Eur Surg Res. 2018;59 (1-2):1-11. doi: 10.1159/000485461. PubMed PMID:29320769 .
67. Törnroos, M, Elovainio, M, Hintsa, T, Hintsanen, M, Pulkki-Råback, L, Jokela, M et al.. Personality traits and perceptions of organisational justice. Int J Psychol. 2019;54 (3):414-422. doi: 10.1002/ijop.12472. PubMed PMID:29313976 .
68. Koivistoinen, T, Lyytikäinen, LP, Aatola, H, Luukkaala, T, Juonala, M, Viikari, J et al.. Pulse Wave Velocity Predicts the Progression of Blood Pressure and Development of Hypertension in Young Adults. Hypertension. 2018;71 (3):451-456. doi: 10.1161/HYPERTENSIONAHA.117.10368. PubMed PMID:29311251 .
69. Andre, K, Kampman, O, Viikki, M, Setälä-Soikkeli, E, Illi, A, Mononen, N et al.. BDNF and NRG1 polymorphisms and temperament in selective serotonin reuptake inhibitor-treated patients with major depression. Acta Neuropsychiatr. 2018;30 (3):168-174. doi: 10.1017/neu.2017.37. PubMed PMID:29310728 .
70. Tapp, RJ, Hughes, AD, Kähönen, M, Wong, TY, Witt, N, Lehtimäki, T et al.. Cardiometabolic Health Among Adult Offspring of Hypertensive Pregnancies: The Cardiovascular Risk in Young Finns Study. J Am Heart Assoc. 2018;7 (1):. doi: 10.1161/JAHA.117.006284. PubMed PMID:29306901 PubMed Central PMC5778953.
71. Saarinen, A, Hintsanen, M, Hakulinen, C, Pulkki-Råback, L, Lehtimäki, T, Raitakari, O et al.. The co-occurrence between depressive symptoms and paranoid ideation: A population-based longitudinal study. J Affect Disord. 2018;229 :48-55. doi: 10.1016/j.jad.2017.12.045. PubMed PMID:29306058 .
72. Saarinen, A, Rosenström, T, Hintsanen, M, Hakulinen, C, Pulkki-Råback, L, Lehtimäki, T et al.. Longitudinal associations of temperament and character with paranoid ideation: A population-based study. Psychiatry Res. 2018;261 :137-142. doi: 10.1016/j.psychres.2017.12.044. PubMed PMID:29304427 .
73. Turcot, V, Lu, Y, Highland, HM, Schurmann, C, Justice, AE, Fine, RS et al.. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50 (1):26-41. doi: 10.1038/s41588-017-0011-x. PubMed PMID:29273807 PubMed Central PMC5945951.
74. Demenais, F, Margaritte-Jeannin, P, Barnes, KC, Cookson, WOC, Altmüller, J, Ang, W et al.. Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat Genet. 2018;50 (1):42-53. doi: 10.1038/s41588-017-0014-7. PubMed PMID:29273806 PubMed Central PMC5901974.
75. Buscot, MJ, Thomson, RJ, Juonala, M, Sabin, MA, Burgner, DP, Lehtimäki, T et al.. BMI Trajectories Associated With Resolution of Elevated Youth BMI and Incident Adult Obesity. Pediatrics. 2018;141 (1):. doi: 10.1542/peds.2017-2003. PubMed PMID:29259077 .
76. Mendelian Randomization of Dairy Consumption Working Group. Dairy Consumption and Body Mass Index Among Adults: Mendelian Randomization Analysis of 184802 Individuals from 25 Studies. Clin Chem. 2018;64 (1):183-191. doi: 10.1373/clinchem.2017.280701. PubMed PMID:29187356 PubMed Central PMC5837824.
77. Immonen, H, Hannukainen, JC, Kudomi, N, Pihlajamäki, J, Saunavaara, V, Laine, J et al.. Increased Liver Fatty Acid Uptake Is Partly Reversed and Liver Fat Content Normalized After Bariatric Surgery. Diabetes Care. 2018;41 (2):368-371. doi: 10.2337/dc17-0738. PubMed PMID:29158250 .
78. Wu, F, Juonala, M, Pitkänen, N, Jula, A, Lehtimäki, T, Sabin, MA et al.. Both youth and long-term vitamin D status is associated with risk of type 2 diabetes mellitus in adulthood: a cohort study. Ann Med. 2018;50 (1):74-82. doi: 10.1080/07853890.2017.1399446. PubMed PMID:29113496 .
79. McKeown, NM, Dashti, HS, Ma, J, Haslam, DE, Kiefte-de Jong, JC, Smith, CE et al.. Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis. Diabetologia. 2018;61 (2):317-330. doi: 10.1007/s00125-017-4475-0. PubMed PMID:29098321 PubMed Central PMC5826559.
80. Hernesniemi, JA, Heiskanen, J, Ruohonen, S, Kartiosuo, N, Hutri-Kähönen, N, Kähönen, M et al.. Aortic sinus diameter in middle age is associated with body size in young adulthood. Heart. 2018;104 (9):773-778. doi: 10.1136/heartjnl-2017-312136. PubMed PMID:29092920 .
81. Khan, N, Lyytikäinen, LP, Khan, J, Seppälä, I, Lehtomäki, A, Kuorilehto, T et al.. Extended Serum Lipid Profile Predicting Long-Term Survival in Patients Treated for Abdominal Aortic Aneurysms. World J Surg. 2018;42 (4):1200-1207. doi: 10.1007/s00268-017-4281-3. PubMed PMID:29026969 .
82. Smith, CE, Follis, JL, Dashti, HS, Tanaka, T, Graff, M, Fretts, AM et al.. Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent. Mol Nutr Food Res. 2018;62 (3):. doi: 10.1002/mnfr.201700347. PubMed PMID:28941034 PubMed Central PMC5803424.
83. Vakhitov, D, Tuomisto, S, Martiskainen, M, Korhonen, J, Pessi, T, Salenius, JP et al.. Bacterial signatures in thrombus aspirates of patients with lower limb arterial and venous thrombosis. J Vasc Surg. 2018;67 (6):1902-1907. doi: 10.1016/j.jvs.2017.05.090. PubMed PMID:28847664 .

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