Julkaisut

2024

  1. Toivonen, E, Lee, E, Leppänen, MH, Laitinen, T, Kähönen, M, Lakka, TA et al.. The associations of depressive symptoms and perceived stress with arterial health in adolescents. Physiol Rep. 2024;12 (6):e15986. doi: 10.14814/phy2.15986. PubMed PMID:38519264 PubMed Central PMC10959692.
  2. Haapala, EA, Leppänen, MH, Lee, E, Savonen, K, Laukkanen, JA, Kähönen, M et al.. Accumulating Sedentary Time and Physical Activity From Childhood to Adolescence and Cardiac Function in Adolescence. J Am Heart Assoc. 2024;13 (6):e031837. doi: 10.1161/JAHA.123.031837. PubMed PMID:38497441 .
  3. 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.
  4. 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 .
  5. Karjalainen, MK, Karthikeyan, S, Oliver-Williams, C, Sliz, E, Allara, E, Fung, WT et al.. Genome-wide characterization of circulating metabolic biomarkers. Nature. 2024; :. doi: 10.1038/s41586-024-07148-y. PubMed PMID:38448586 .
  6. 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 .
  7. Mars, N, Kerminen, S, Tamlander, M, Pirinen, M, Jakkula, E, Aaltonen, K et al.. Comprehensive Inherited Risk Estimation for Risk-Based Breast Cancer Screening in Women. J Clin Oncol. 2024; :JCO2300295. doi: 10.1200/JCO.23.00295. PubMed PMID:38422475 .
  8. 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 .
  9. 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.
  10. 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.
  11. Youssef, O, Loukola, A, Zidi-Mouaffak, YHS, Tamlander, M, Ruotsalainen, S, Kilpeläinen, E et al.. High-Resolution Genotyping of Formalin-Fixed Tissue Accurately Estimates Polygenic Risk Scores in Human Diseases. Lab Invest. 2024;104 (4):100325. doi: 10.1016/j.labinv.2024.100325. PubMed PMID:38220043 .
  12. 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 .
  13. Nurkkala, JM, Aittokallio, J, FinnGen
    , Kauko, A, Niiranen, T. Sex-specific genetic risks for adverse outcomes after coronary revascularization procedures. Interdiscip Cardiovasc Thorac Surg. 2024;38 (1):. doi: 10.1093/icvts/ivae006. PubMed PMID:38216540 PubMed Central PMC10799751.
  14. Pihlman, J, Magnussen, CG, Laitinen, TT, Ruohonen, S, Pahkala, K, Jokinen, E et al.. Association of number of siblings with preclinical markers of cardiovascular disease. The cardiovascular risk in Young Finns study. Int J Cardiol Cardiovasc Risk Prev. 2024;20 :200227. doi: 10.1016/j.ijcrp.2023.200227. PubMed PMID:38115890 PubMed Central PMC10726240.
  15. Meng, Y, Sharman, JE, Koskinen, JS, Juonala, M, Viikari, JSA, Buscot, MJ et al.. Blood Pressure at Different Life Stages Over the Early Life Course and Intima-Media Thickness. JAMA Pediatr. 2024;178 (2):133-141. doi: 10.1001/jamapediatrics.2023.5351. PubMed PMID:38048127 PubMed Central PMC10696511.
  16. 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.
  17. 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.
  18. Wu, F, Juonala, M, Jacobs, DR Jr, Daniels, SR, Kähönen, M, Woo, JG et al.. Childhood Non-HDL Cholesterol and LDL Cholesterol and Adult Atherosclerotic Cardiovascular Events. Circulation. 2024;149 (3):217-226. doi: 10.1161/CIRCULATIONAHA.123.064296. PubMed PMID:38014550 .
  19. 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 .
  20. Pihlman, J, Nuotio, J, Rovio, S, Pahkala, K, Ruohonen, S, Jokinen, E et al.. Exposure to parental smoking and cardiac structure and function in adulthood: the Cardiovascular Risk in Young Finns Study. Scand J Public Health. 2024;52 (1):15-23. doi: 10.1177/14034948221119611. PubMed PMID:36071613 .

Search PubMed

2023

  1. Pihlman, J, Magnussen, CG, Laitinen, TT, Ruohonen, S, Pahkala, K, Jokinen, E et al.. Association of number of siblings with preclinical markers of cardiovascular disease. The cardiovascular risk in Young Finns study. Int J Cardiol Cardiovasc Risk Prev. 2024;20 :200227. doi: 10.1016/j.ijcrp.2023.200227. PubMed PMID:38115890 PubMed Central PMC10726240.
  2. 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 .
  3. Nurmi, AK, Pelttari, LM, Kiiski, JI, Khan, S, Nurmikolu, M, Suvanto, M et al.. NTHL1 is a recessive cancer susceptibility gene. Sci Rep. 2023;13 (1):21127. doi: 10.1038/s41598-023-47441-w. PubMed PMID:38036545 PubMed Central PMC10689455.
  4. 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.
  5. Wu, F, Juonala, M, Jacobs, DR Jr, Daniels, SR, Kähönen, M, Woo, JG et al.. Childhood Non-HDL Cholesterol and LDL Cholesterol and Adult Atherosclerotic Cardiovascular Events. Circulation. 2024;149 (3):217-226. doi: 10.1161/CIRCULATIONAHA.123.064296. PubMed PMID:38014550 .
  6. 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.
  7. 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.
  8. 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 .
  9. Tolonen, I, Saarinen, A, Puttonen, S, Kähönen, M, Hintsanen, M. High compassion predicts fewer sleep difficulties: A general population study with an 11-year follow-up. Brain Behav. 2023;13 (10):e3165. doi: 10.1002/brb3.3165. PubMed PMID:37608595 PubMed Central PMC10570475.
  10. Julkunen, V, Schwarz, C, Kalapudas, J, Hallikainen, M, Piironen, AK, Mannermaa, A et al.. A FinnGen pilot clinical recall study for Alzheimer’s disease. Sci Rep. 2023;13 (1):12641. doi: 10.1038/s41598-023-39835-7. PubMed PMID:37537264 PubMed Central PMC10400697.
  11. 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.
  12. 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 .
  13. 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.
  14. 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 .
  15. Viippola, E, Kuitunen, S, Rodosthenous, RS, Vabalas, A, Hartonen, T, Vartiainen, P et al.. Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry). Int J Epidemiol. 2023;52 (4):e195-e200. doi: 10.1093/ije/dyad091. PubMed PMID:37365732 PubMed Central PMC10396416.
  16. Värri, E, Suojanen, L, Koskela, JK, Choudhary, MK, Tikkakoski, A, Kähönen, M et al.. Ambulatory daytime blood pressure versus tonometric blood pressure measurements in the laboratory: effect of posture. Blood Press Monit. 2023;28 (4):199-207. doi: 10.1097/MBP.0000000000000651. PubMed PMID:37318783 PubMed Central PMC10309093.
  17. Ågren, R, Patil, S, Zhou, X, FinnGen., Sahlholm, K, Pääbo, S et al.. Major Genetic Risk Factors for Dupuytren’s Disease Are Inherited From Neandertals. Mol Biol Evol. 2023;40 (6):. doi: 10.1093/molbev/msad130. PubMed PMID:37315093 PubMed Central PMC10266526.
  18. Jones, SE, Maisha, FI, Strausz, SJ, Lammi, V, Cade, BE, Tervi, A et al.. The public health impact of poor sleep on severe COVID-19, influenza and upper respiratory infections. EBioMedicine. 2023;93 :104630. doi: 10.1016/j.ebiom.2023.104630. PubMed PMID:37301713 PubMed Central PMC10248098.
  19. 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 .
  20. Tyrmi, JS, Kaartokallio, T, Lokki, AI, Jääskeläinen, T, Kortelainen, E, Ruotsalainen, S et al.. Genetic Risk Factors Associated With Preeclampsia and Hypertensive Disorders of Pregnancy. JAMA Cardiol. 2023;8 (7):674-683. doi: 10.1001/jamacardio.2023.1312. PubMed PMID:37285119 PubMed Central PMC10248811.
  21. 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.
  22. 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.
  23. Miller, EC, Kauko, A, Tom, SE, Laivuori, H, Niiranen, T, Bello, NA et al.. Risk of Midlife Stroke After Adverse Pregnancy Outcomes: The FinnGen Study. Stroke. 2023;54 (7):1798-1805. doi: 10.1161/STROKEAHA.123.043052. PubMed PMID:37212139 PubMed Central PMC10330298.
  24. Ollila, HM, Sharon, E, Lin, L, Sinnott-Armstrong, N, Ambati, A, Yogeshwar, SM et al.. Narcolepsy risk loci outline role of T cell autoimmunity and infectious triggers in narcolepsy. Nat Commun. 2023;14 (1):2709. doi: 10.1038/s41467-023-36120-z. PubMed PMID:37188663 PubMed Central PMC10185546.
  25. 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.
  26. 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.
  27. 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.
  28. Taurio, J, Hautaniemi, EJ, Koskela, JK, Eräranta, A, Hämäläinen, M, Tikkakoski, A et al.. The characteristics of elevated blood pressure in abdominal obesity correspond to primary hypertension: a cross-sectional study. BMC Cardiovasc Disord. 2023;23 (1):161. doi: 10.1186/s12872-023-03150-w. PubMed PMID:36973671 PubMed Central PMC10045516.
  29. 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.
  30. 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.
  31. Kurki, MI, Karjalainen, J, Palta, P, Sipilä, TP, Kristiansson, K, Donner, KM et al.. Author Correction: FinnGen provides genetic insights from a well-phenotyped isolated population. Nature. 2023;615 (7952):E19. doi: 10.1038/s41586-023-05837-8. PubMed PMID:36829046 PubMed Central PMC10017492.
  32. 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.
  33. 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.
  34. 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.
  35. Sliz, E, Tyrmi, JS, Rahmioglu, N, Zondervan, KT, Becker, CM, FinnGen et al.. Evidence of a causal effect of genetic tendency to gain muscle mass on uterine leiomyomata. Nat Commun. 2023;14 (1):542. doi: 10.1038/s41467-023-35974-7. PubMed PMID:36726022 PubMed Central PMC9892568.
  36. 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.
  37. 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.
  38. Kurki, MI, Karjalainen, J, Palta, P, Sipilä, TP, Kristiansson, K, Donner, KM et al.. FinnGen provides genetic insights from a well-phenotyped isolated population. Nature. 2023;613 (7944):508-518. doi: 10.1038/s41586-022-05473-8. PubMed PMID:36653562 PubMed Central PMC9849126.
  39. 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.
  40. 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.
  41. Tikkakoski, AP, Tikkakoski, A, Sipilä, K, Kivistö, JE, Huhtala, H, Kähönen, M et al.. Exercise-induced bronchoconstriction is associated with air humidity and particulate matter concentration in preschool children. Pediatr Pulmonol. 2023;58 (4):996-1003. doi: 10.1002/ppul.26284. PubMed PMID:36530015 .
  42. 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 .
  43. 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.
  44. 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. Tikkakoski, AP, Tikkakoski, A, Sipilä, K, Kivistö, JE, Huhtala, H, Kähönen, M et al.. Exercise-induced bronchoconstriction is associated with air humidity and particulate matter concentration in preschool children. Pediatr Pulmonol. 2023;58 (4):996-1003. doi: 10.1002/ppul.26284. PubMed PMID:36530015 .
  4. Komulainen, K, Hakulinen, C, Lipsanen, J, Partonen, T, Pulkki-Råback, L, Kähönen, M et al.. Long-term residential sunlight exposure associated with cognitive function among adults residing in Finland. Sci Rep. 2022;12 (1):20818. doi: 10.1038/s41598-022-25336-6. PubMed PMID:36460719 PubMed Central PMC9718732.
  5. 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 .
  6. 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 .
  7. 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.
  8. 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 .
  9. Rodosthenous, RS, Niemi, MEK, Kallio, L, Perala, M, Terho, P, Knopp, T et al.. Recontacting biobank participants to collect lifestyle, behavioural and cognitive information via online questionnaires: lessons from a pilot study within FinnGen. BMJ Open. 2022;12 (10):e064695. doi: 10.1136/bmjopen-2022-064695. PubMed PMID:36198465 PubMed Central PMC9535212.
  10. Pihlman, J, Nuotio, J, Rovio, S, Pahkala, K, Ruohonen, S, Jokinen, E et al.. Exposure to parental smoking and cardiac structure and function in adulthood: the Cardiovascular Risk in Young Finns Study. Scand J Public Health. 2024;52 (1):15-23. doi: 10.1177/14034948221119611. PubMed PMID:36071613 .
  11. 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.
  12. 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.
  13. 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.
  14. 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 .
  15. 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.
  16. 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.
  17. 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 .
  18. 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.
  19. 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 .
  20. 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.
  21. 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.
  22. Meng, Y, Buscot, MJ, Juonala, M, Wu, F, Armstrong, MK, Fraser, BJ et al.. Relative Contribution of Blood Pressure in Childhood, Young- and Mid-Adulthood to Large Artery Stiffness in Mid-Adulthood. J Am Heart Assoc. 2022;11 (12):e024394. doi: 10.1161/JAHA.121.024394. PubMed PMID:35699171 PubMed Central PMC9238667.
  23. 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.
  24. Meng, Y, Magnussen, CG, Wu, F, Juonala, M, Buscot, MJ, Pahkala, K et al.. Impact of within-visit systolic blood pressure change patterns on blood pressure classification: the Cardiovascular Risk in Young Finns Study. Eur J Prev Cardiol. 2022;29 (16):2090-2098. doi: 10.1093/eurjpc/zwac108. PubMed PMID:35653303 .
  25. Koskela, JK, Tahvanainen, A, Tikkakoski, AJ, Kangas, P, Uitto, M, Viik, J et al.. Resting heart rate predicts cardiac autonomic modulation during passive head-up tilt in subjects without cardiovascular diseases. Scand Cardiovasc J. 2022;56 (1):138-147. doi: 10.1080/14017431.2022.2079713. PubMed PMID:35652524 .
  26. Komulainen, K, Hakulinen, C, Lipsanen, J, Partonen, T, Pulkki-Råback, L, Kähönen, M et al.. Associations of long-term solar insolation with specific depressive symptoms: Evidence from a prospective cohort study. J Psychiatr Res. 2022;151 :606-610. doi: 10.1016/j.jpsychires.2022.05.038. PubMed PMID:35636039 .
  27. 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.
  28. 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 .
  29. 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.
  30. 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 .
  31. 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.
  32. 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.
  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. Bellenguez, C, Küçükali, F, Jansen, IE, Kleineidam, L, Moreno-Grau, S, Amin, N et al.. New insights into the genetic etiology of Alzheimer’s disease and related dementias. Nat Genet. 2022;54 (4):412-436. doi: 10.1038/s41588-022-01024-z. PubMed PMID:35379992 PubMed Central PMC9005347.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. Tamlander, M, Mars, N, Pirinen, M, FinnGen, Widén, E, Ripatti, S et al.. Integration of questionnaire-based risk factors improves polygenic risk scores for human coronary heart disease and type 2 diabetes. Commun Biol. 2022;5 (1):158. doi: 10.1038/s42003-021-02996-0. PubMed PMID:35197564 PubMed Central PMC8866413.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. Tikkakoski, AP, Karjalainen, J, Sipilä, K, Kivistö, JE, Kähönen, M, Lehtimäki, L et al.. Outdoor pollen concentration is not associated with exercise-induced bronchoconstriction in children. Pediatr Pulmonol. 2022;57 (3):695-701. doi: 10.1002/ppul.25782. PubMed PMID:34894109 .
  48. 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 .
  49. 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 .
  50. Elovainio, M, Komulainen, K, Lipsanen, J, Partonen, T, Pesonen, AK, Pulkki-Råback, L et al.. Long-term cumulative light exposure from the natural environment and sleep: A cohort study. J Sleep Res. 2022;31 (3):e13511. doi: 10.1111/jsr.13511. PubMed PMID:34729842 .
  51. Khoury, M, Khoury, P, Bazzano, L, Burns, TL, Daniels, S, Dwyer, T et al.. Prevalence Implications of the 2017 American Academy of Pediatrics Hypertension Guideline and Associations with Adult Hypertension. J Pediatr. 2022;241 :22-28.e4. doi: 10.1016/j.jpeds.2021.09.056. PubMed PMID:34619113 PubMed Central PMC8924915.

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. Tikkakoski, AP, Karjalainen, J, Sipilä, K, Kivistö, JE, Kähönen, M, Lehtimäki, L et al.. Outdoor pollen concentration is not associated with exercise-induced bronchoconstriction in children. Pediatr Pulmonol. 2022;57 (3):695-701. doi: 10.1002/ppul.25782. PubMed PMID:34894109 .
  3. 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.
  4. 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 .
  5. Elovainio, M, Komulainen, K, Lipsanen, J, Partonen, T, Pesonen, AK, Pulkki-Råback, L et al.. Long-term cumulative light exposure from the natural environment and sleep: A cohort study. J Sleep Res. 2022;31 (3):e13511. doi: 10.1111/jsr.13511. PubMed PMID:34729842 .
  6. Tolonen, I, Saarinen, A, Keltikangas-Järvinen, L, Siira, V, Kähönen, M, Hintsanen, M et al.. Rewards of Compassion: Dispositional Compassion Predicts Lower Job Strain and Effort-Reward Imbalance Over a 11-Year Follow-Up. Front Psychol. 2021;12 :730188. doi: 10.3389/fpsyg.2021.730188. PubMed PMID:34650487 PubMed Central PMC8505888.
  7. 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 .
  8. Khoury, M, Khoury, P, Bazzano, L, Burns, TL, Daniels, S, Dwyer, T et al.. Prevalence Implications of the 2017 American Academy of Pediatrics Hypertension Guideline and Associations with Adult Hypertension. J Pediatr. 2022;241 :22-28.e4. doi: 10.1016/j.jpeds.2021.09.056. PubMed PMID:34619113 PubMed Central PMC8924915.
  9. 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 .
  10. 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.
  11. 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.
  12. Meng, Y, Magnussen, CG, Wu, F, Buscot, MJ, Juonala, M, Pahkala, K et al.. Within-visit SBP variability from childhood to adulthood and markers of cardiovascular end-organ damage in mid-life. J Hypertens. 2021;39 (9):1865-1875. doi: 10.1097/HJH.0000000000002855. PubMed PMID:34397629 .
  13. Palomäki, A, FinnGen Rheumatology Clinical Expert Group, Palotie, A, Koskela, J, Eklund, KK, Pirinen, M et al.. Lifetime risk of rheumatoid arthritis-associated interstitial lung disease in mutation carriers. Ann Rheum Dis. 2021;80 (12):1530-1536. doi: 10.1136/annrheumdis-2021-220698. PubMed PMID:34344703 PubMed Central PMC8600604.
  14. 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 .
  15. 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.
  16. 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.
  17. 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.
  18. 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 .
  19. 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.
  20. 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.
  21. Zekavat, SM, Lin, SH, Bick, AG, Liu, A, Paruchuri, K, Wang, C et al.. Hematopoietic mosaic chromosomal alterations increase the risk for diverse types of infection. Nat Med. 2021;27 (6):1012-1024. doi: 10.1038/s41591-021-01371-0. PubMed PMID:34099924 PubMed Central PMC8245201.
  22. 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 .
  23. 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.
  24. 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.
  25. Pihlman, J, Magnussen, CG, Rovio, SP, Pahkala, K, Jokinen, E, Laitinen, TP et al.. Association between Number of Siblings and Cardiovascular Risk Factors in Childhood and in Adulthood: The Cardiovascular Risk in Young Finns Study. J Pediatr. 2021;237 :87-95.e1. doi: 10.1016/j.jpeds.2021.05.058. PubMed PMID:34087153 .
  26. Liuska, PJ, Lemmelä, S, Havulinna, AS, Kaarniranta, K, Uusitalo, H, Laivuori, H et al.. Association of the MYOC p.(Gln368Ter) Variant With Glaucoma in a Finnish Population. JAMA Ophthalmol. 2021;139 (7):762-768. doi: 10.1001/jamaophthalmol.2021.1610. PubMed PMID:34081096 PubMed Central PMC8176385.
  27. Hamid, H, Kurra, V, Choudhary, MK, Bouquin, H, Niemelä, O, Kähönen, MAP et al.. Plasma uric acid is related to large arterial stiffness but not to other hemodynamic variables: a study in 606 normotensive and never-medicated hypertensive subjects. BMC Cardiovasc Disord. 2021;21 (1):257. doi: 10.1186/s12872-021-02072-9. PubMed PMID:34039285 PubMed Central PMC8152327.
  28. 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.
  29. 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 .
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. Gharahkhani, P, Jorgenson, E, Hysi, P, Khawaja, AP, Pendergrass, S, Han, X et al.. Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries. Nat Commun. 2021;12 (1):1258. doi: 10.1038/s41467-020-20851-4. PubMed PMID:33627673 PubMed Central PMC7904932.
  36. 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 .
  37. 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 .
  38. 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.
  39. 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.
  40. 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 .
  41. 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 .
  42. 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.
  43. 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.
  44. 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.
  45. Strausz, S, Kiiskinen, T, Broberg, M, Ruotsalainen, S, Koskela, J, Bachour, A et al.. Sleep apnoea is a risk factor for severe COVID-19. BMJ Open Respir Res. 2021;8 (1):. doi: 10.1136/bmjresp-2020-000845. PubMed PMID:33436406 PubMed Central PMC7804843.
  46. 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 .
  47. 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.
  48. Taivainen, SH, Laitinen, TM, Yli-Ollila, H, Juonala, M, Kähönen, M, Raitakari, OT et al.. Carotid artery longitudinal wall motion alterations associated with metabolic syndrome and insulin resistance. Clin Physiol Funct Imaging. 2021;41 (2):199-207. doi: 10.1111/cpf.12687. PubMed PMID:33340230 .
  49. 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.
  50. Oinonen, L, Tikkakoski, A, Koskela, J, Eräranta, A, Kähönen, M, Niemelä, O et al.. Parathyroid hormone may play a role in the pathophysiology of primary hypertension. Endocr Connect. 2021;10 (1):54-65. doi: 10.1530/EC-20-0446. PubMed PMID:33289696 PubMed Central PMC7923049.
  51. 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.
  52. 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.
  53. 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.
  54. Ruotsalainen, SE, Partanen, JJ, Cichonska, A, Lin, J, Benner, C, Surakka, I et al.. An expanded analysis framework for multivariate GWAS connects inflammatory biomarkers to functional variants and disease. Eur J Hum Genet. 2021;29 (2):309-324. doi: 10.1038/s41431-020-00730-8. PubMed PMID:33110245 PubMed Central PMC7868371.
  55. 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 .
  56. 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 .
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  61. Tuominen, H, Haarala, A, Tikkakoski, A, Kähönen, M, Nikus, K, Sipilä, K et al.. FDG-PET in possible cardiac sarcoidosis: Right ventricular uptake and high total cardiac metabolic activity predict cardiovascular events. J Nucl Cardiol. 2021;28 (1):199-205. doi: 10.1007/s12350-019-01659-2. PubMed PMID:30815833 PubMed Central PMC7920884.

Search PubMed

2020

  1. 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.
  2. Mars, N, Widén, E, Kerminen, S, Meretoja, T, Pirinen, M, Della Briotta Parolo, P et al.. The role of polygenic risk and susceptibility genes in breast cancer over the course of life. Nat Commun. 2020;11 (1):6383. doi: 10.1038/s41467-020-19966-5. PubMed PMID:33318493 PubMed Central PMC7736877.
  3. 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.
  4. 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.
  5. 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.
  6. Ruotsalainen, SE, Partanen, JJ, Cichonska, A, Lin, J, Benner, C, Surakka, I et al.. An expanded analysis framework for multivariate GWAS connects inflammatory biomarkers to functional variants and disease. Eur J Hum Genet. 2021;29 (2):309-324. doi: 10.1038/s41431-020-00730-8. PubMed PMID:33110245 PubMed Central PMC7868371.
  7. 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 .
  8. Bao, EL, Nandakumar, SK, Liao, X, Bick, AG, Karjalainen, J, Tabaka, M et al.. Inherited myeloproliferative neoplasm risk affects haematopoietic stem cells. Nature. 2020;586 (7831):769-775. doi: 10.1038/s41586-020-2786-7. PubMed PMID:33057200 PubMed Central PMC7606745.
  9. 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.
  10. 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.
  11. 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 .
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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 .
  18. 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.
  19. 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.
  20. Wu, F, Juonala, M, Sabin, MA, Buscot, MJ, Pahkala, K, Smith, KJ et al.. Association of Body Mass Index in Youth With Adult Cardiometabolic Risk. J Am Heart Assoc. 2020;9 (14):e015288. doi: 10.1161/JAHA.119.015288. PubMed PMID:32627629 PubMed Central PMC7660723.
  21. 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 .
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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 .
  29. Mars, N, Koskela, JT, Ripatti, P, Kiiskinen, TTJ, Havulinna, AS, Lindbohm, JV et al.. Polygenic and clinical risk scores and their impact on age at onset and prediction of cardiometabolic diseases and common cancers. Nat Med. 2020;26 (4):549-557. doi: 10.1038/s41591-020-0800-0. PubMed PMID:32273609 .
  30. Hu, T, Gall, SL, Widome, R, Bazzano, LA, Burns, TL, Daniels, SR et al.. Childhood/Adolescent Smoking and Adult Smoking and Cessation: The International Childhood Cardiovascular Cohort (i3C) Consortium. J Am Heart Assoc. 2020;9 (7):e014381. doi: 10.1161/JAHA.119.014381. PubMed PMID:32264731 PubMed Central PMC7428613.
  31. 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 .
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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 .
  37. 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.
  38. 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.
  39. 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 .
  40. 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.
  41. 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 .
  42. Oinonen, L, Koskela, J, Eräranta, A, Tikkakoski, A, Kähönen, M, Niemelä, O et al.. Plasma total calcium concentration is associated with blood pressure and systemic vascular resistance in normotensive and never-treated hypertensive subjects. Blood Press. 2020;29 (3):137-148. doi: 10.1080/08037051.2019.1696180. PubMed PMID:31790289 .
  43. 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 .
  44. 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.
  45. 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 .
  46. 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 .
  47. Smith, KJ, Magnussen, CG, Pahkala, K, Koskinen, J, Sabin, MA, Hutri-Kähönen, N et al.. Youth to adult body mass index trajectories as a predictor of metabolically healthy obesity in adulthood. Eur J Public Health. 2020;30 (1):195-199. doi: 10.1093/eurpub/ckz109. PubMed PMID:31169878 .
  48. Vuori, MA, Laukkanen, JA, Pietilä, A, Havulinna, AS, Kähönen, M, Salomaa, V et al.. The validity of heart failure diagnoses in the Finnish Hospital Discharge Register. Scand J Public Health. 2020;48 (1):20-28. doi: 10.1177/1403494819847051. PubMed PMID:31068116 .
  49. Suojanen, L, Haring, A, Tikkakoski, A, Huhtala, H, Kähönen, M, Eräranta, A et al.. Adverse influence of bisoprolol on central blood pressure in the upright position: a double-blind placebo-controlled cross-over study. J Hum Hypertens. 2020;34 (4):301-310. doi: 10.1038/s41371-019-0188-9. PubMed PMID:30886326 PubMed Central PMC7165126.
  50. 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.
  51. 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.
  52. Tuominen, H, Haarala, A, Tikkakoski, A, Kähönen, M, Nikus, K, Sipilä, K et al.. 18-FDG-PET in a patient cohort suspected for cardiac sarcoidosis: Right ventricular uptake is associated with pathological uptake in mediastinal lymph nodes. J Nucl Cardiol. 2020;27 (1):109-117. doi: 10.1007/s12350-018-1291-y. PubMed PMID:29721764 .

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. 2020;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 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. Kangas, P, Tikkakoski, A, Kettunen, J, Eräranta, A, Huhtala, H, Kähönen, M et al.. Changes in hemodynamics associated with metabolic syndrome are more pronounced in women than in men. Sci Rep. 2019;9 (1):18377. doi: 10.1038/s41598-019-54926-0. PubMed PMID:31804574 PubMed Central PMC6895092.
  6. Oinonen, L, Koskela, J, Eräranta, A, Tikkakoski, A, Kähönen, M, Niemelä, O et al.. Plasma total calcium concentration is associated with blood pressure and systemic vascular resistance in normotensive and never-treated hypertensive subjects. Blood Press. 2020;29 (3):137-148. doi: 10.1080/08037051.2019.1696180. PubMed PMID:31790289 .
  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. Komulainen, K, Mittleman, MA, Ruohonen, S, Laitinen, TT, Pahkala, K, Elovainio, M et al.. Childhood Psychosocial Environment and Adult Cardiac Health: A Causal Mediation Approach. Am J Prev Med. 2019;57 (6):e195-e202. doi: 10.1016/j.amepre.2019.08.018. PubMed PMID:31753272 .
  9. 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.
  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. 2019;51 (7-8):390-396. doi: 10.1080/07853890.2019.1684550. PubMed PMID:31638839 PubMed Central PMC7877875.
  12. Hautaniemi, EJ, Tikkakoski, AJ, Eräranta, A, Kähönen, M, Hämäläinen, E, Turpeinen, U et al.. Liquorice ingestion attenuates vasodilatation via exogenous nitric oxide donor but not via β2-adrenoceptor stimulation. PLoS One. 2019;14 (10):e0223654. doi: 10.1371/journal.pone.0223654. PubMed PMID:31626649 PubMed Central PMC6799927.
  13. 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.
  14. 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.
  15. Tabassum, R, Rämö, JT, Ripatti, P, Koskela, JT, Kurki, M, Karjalainen, J et al.. Genetic architecture of human plasma lipidome and its link to cardiovascular disease. Nat Commun. 2019;10 (1):4329. doi: 10.1038/s41467-019-11954-8. PubMed PMID:31551469 PubMed Central PMC6760179.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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 .
  22. 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.
  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. Tikkakoski, AP, Tikkakoski, A, Kivistö, JE, Huhtala, H, Sipilä, K, Karjalainen, J et al.. Association of air humidity with incidence of exercise-induced bronchoconstriction in children. Pediatr Pulmonol. 2019;54 (11):1830-1836. doi: 10.1002/ppul.24471. PubMed PMID:31393065 .
  27. 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.
  28. 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.
  29. 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 .
  30. 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.
  31. 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.
  32. 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 .
  33. 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.
  34. 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 .
  35. 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.
  36. 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.
  37. 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 .
  38. Komulainen, K, Mittleman, MA, Jokela, M, Laitinen, TT, Pahkala, K, Elovainio, M et al.. Socioeconomic position and intergenerational associations of ideal health behaviors. Eur J Prev Cardiol. 2019;26 (15):1605-1612. doi: 10.1177/2047487319850959. PubMed PMID:31088119 .
  39. Vuori, MA, Laukkanen, JA, Pietilä, A, Havulinna, AS, Kähönen, M, Salomaa, V et al.. The validity of heart failure diagnoses in the Finnish Hospital Discharge Register. Scand J Public Health. 2020;48 (1):20-28. doi: 10.1177/1403494819847051. PubMed PMID:31068116 .
  40. 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.
  41. 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.
  42. Pussinen, PJ, Paju, S, Koponen, J, Viikari, JSA, Taittonen, L, Laitinen, T et al.. Association of Childhood Oral Infections With Cardiovascular Risk Factors and Subclinical Atherosclerosis in Adulthood. JAMA Netw Open. 2019;2 (4):e192523. doi: 10.1001/jamanetworkopen.2019.2523. PubMed PMID:31026022 PubMed Central PMC6487573.
  43. 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 .
  44. 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.
  45. 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.
  46. 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.
  47. Suojanen, L, Haring, A, Tikkakoski, A, Huhtala, H, Kähönen, M, Eräranta, A et al.. Adverse influence of bisoprolol on central blood pressure in the upright position: a double-blind placebo-controlled cross-over study. J Hum Hypertens. 2020;34 (4):301-310. doi: 10.1038/s41371-019-0188-9. PubMed PMID:30886326 PubMed Central PMC7165126.
  48. 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.
  49. Choudhary, MK, Eräranta, A, Koskela, J, Tikkakoski, AJ, Nevalainen, PI, Kähönen, M et al.. Atherogenic index of plasma is related to arterial stiffness but not to blood pressure in normotensive and never-treated hypertensive subjects. Blood Press. 2019;28 (3):157-167. doi: 10.1080/08037051.2019.1583060. PubMed PMID:30821503 .
  50. Tuominen, H, Haarala, A, Tikkakoski, A, Kähönen, M, Nikus, K, Sipilä, K et al.. FDG-PET in possible cardiac sarcoidosis: Right ventricular uptake and high total cardiac metabolic activity predict cardiovascular events. J Nucl Cardiol. 2021;28 (1):199-205. doi: 10.1007/s12350-019-01659-2. PubMed PMID:30815833 PubMed Central PMC7920884.
  51. 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.
  52. 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.
  53. 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.
  54. 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 .
  55. 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.
  56. 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;92 (5):e486-e503. doi: 10.1212/WNL.0000000000006851. PubMed PMID:30651383 PubMed Central PMC6369905.
  57. 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.
  58. 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 .
  59. 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 .
  60. 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 .
  61. Choudhary, MK, Eräranta, A, Tikkakoski, AJ, Koskela, J, Hautaniemi, EJ, Kähönen, M et al.. LDL cholesterol is associated with systemic vascular resistance and wave reflection in subjects naive to cardiovascular drugs. Blood Press. 2019;28 (1):4-14. doi: 10.1080/08037051.2018.1521263. PubMed PMID:30369274 .
  62. 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.
  63. 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.
  64. Tuominen, H, Haarala, A, Tikkakoski, A, Korkola, P, Kähönen, M, Nikus, K et al.. F-FDG-PET in Finnish patients with clinical suspicion of cardiac sarcoidosis: Female sex and history of atrioventricular block increase the prevalence of positive PET findings. J Nucl Cardiol. 2019;26 (2):394-400. doi: 10.1007/s12350-017-0940-x. PubMed PMID:28585031 .

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. 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 .
  3. 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.
  4. 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.
  5. 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 .
  6. 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.
  7. 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.
  8. Choudhary, MK, Eräranta, A, Tikkakoski, AJ, Koskela, J, Hautaniemi, EJ, Kähönen, M et al.. LDL cholesterol is associated with systemic vascular resistance and wave reflection in subjects naive to cardiovascular drugs. Blood Press. 2019;28 (1):4-14. doi: 10.1080/08037051.2018.1521263. PubMed PMID:30369274 .
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. Choudhary, MK, Eräranta, A, Tikkakoski, AJ, Bouquin, H, Hautaniemi, EJ, Kähönen, M et al.. Effect of present versus previous smoking on non-invasive haemodynamics. Sci Rep. 2018;8 (1):13643. doi: 10.1038/s41598-018-31904-6. PubMed PMID:30206258 PubMed Central PMC6134124.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. Kivimäki, M, Vahtera, J, Tabák, AG, Halonen, JI, Vineis, P, Pentti, J et al.. Neighbourhood socioeconomic disadvantage, risk factors, and diabetes from childhood to middle age in the Young Finns Study: a cohort study. Lancet Public Health. 2018;3 (8):e365-e373. doi: 10.1016/S2468-2667(18)30111-7. PubMed PMID:30030110 PubMed Central PMC6079015.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. Tuominen, H, Haarala, A, Tikkakoski, A, Kähönen, M, Nikus, K, Sipilä, K et al.. 18-FDG-PET in a patient cohort suspected for cardiac sarcoidosis: Right ventricular uptake is associated with pathological uptake in mediastinal lymph nodes. J Nucl Cardiol. 2020;27 (1):109-117. doi: 10.1007/s12350-018-1291-y. PubMed PMID:29721764 .
  36. Lehtonen, AO, Langén, VL, Porthan, K, Kähönen, M, Nieminen, MS, Jula, AM et al.. Electrocardiographic predictors of atrial fibrillation in nonhypertensive and hypertensive individuals. J Hypertens. 2018;36 (9):1874-1881. doi: 10.1097/HJH.0000000000001760. PubMed PMID:29677051 .
  37. 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.
  38. 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.
  39. Taivainen, SH, Yli-Ollila, H, Juonala, M, Kähönen, M, Raitakari, OT, Laitinen, TM et al.. Influence of cardiovascular risk factors on longitudinal motion of the common carotid artery wall. Atherosclerosis. 2018;272 :54-59. doi: 10.1016/j.atherosclerosis.2018.02.037. PubMed PMID:29550645 .
  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. 2018;50 (5):766-767. doi: 10.1038/s41588-018-0082-3. PubMed PMID:29549330 .
  41. 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 .
  42. 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.
  43. 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 .
  44. Tikkakoski, AJ, Kangas, P, Suojanen, L, Tahvanainen, AM, Eräranta, A, Kähönen, MAP et al.. Salbutamol-induced Decrease in Augmentation Index is Related to the Parallel Increase in Heart Rate. Basic Clin Pharmacol Toxicol. 2018;123 (2):161-173. doi: 10.1111/bcpt.12988. PubMed PMID:29476697 .
  45. 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.
  46. 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.
  47. 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 .
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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 .
  53. 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.
  54. 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 .
  55. 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.

Search PubMed