Previous publications

2022

  1. Mak, JKL, Eriksdotter, M, Annetorp, M, Kuja-Halkola, R, Kananen, L, Boström, AM et al.. Two Years with COVID-19: The Electronic Frailty Index Identifies High-Risk Patients in the Stockholm GeroCovid Study. Gerontology. 2023;69 (4):396-405. doi: 10.1159/000527206. PubMed PMID:36450240 PubMed Central PMC9747746.
  2. 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 .
  3. Karlsson, IK, Zhan, Y, Wang, Y, Li, X, Jylhävä, J, Hägg, S et al.. Adiposity and the risk of dementia: mediating effects from inflammation and lipid levels. Eur J Epidemiol. 2022;37 (12):1261-1271. doi: 10.1007/s10654-022-00918-w. PubMed PMID:36192662 PubMed Central PMC9792412.
  4. 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.
  5. Levin, AT, Jylhävä, J, Religa, D, Shallcross, L. COVID-19 prevalence and mortality in longer-term care facilities. Eur J Epidemiol. 2022;37 (3):227-234. doi: 10.1007/s10654-022-00861-w. PubMed PMID:35397704 PubMed Central PMC8994824.
  6. Mak, JKL, Hägg, S, Eriksdotter, M, Annetorp, M, Kuja-Halkola, R, Kananen, L et al.. Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden. J Gerontol A Biol Sci Med Sci. 2022;77 (11):2311-2319. doi: 10.1093/gerona/glac069. PubMed PMID:35303746 PubMed Central PMC9678204.
  7. Meoni, G, Tenori, L, Schade, S, Licari, C, Pirazzini, C, Bacalini, MG et al.. Metabolite and lipoprotein profiles reveal sex-related oxidative stress imbalance in de novo drug-naive Parkinson’s disease patients. NPJ Parkinsons Dis. 2022;8 (1):14. doi: 10.1038/s41531-021-00274-8. PubMed PMID:35136088 PubMed Central PMC8826921.
  8. Zago, E, Dal Molin, A, Dimitri, GM, Xumerle, L, Pirazzini, C, Bacalini, MG et al.. Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson’s disease patients. Sci Rep. 2022;12 (1):1330. doi: 10.1038/s41598-022-05227-6. PubMed PMID:35079043 PubMed Central PMC8789812.
  9. Haapanen, MJ, Jylhävä, J, Kortelainen, L, Mikkola, TM, Salonen, M, Wasenius, NS et al.. Early-Life Factors as Predictors of Age-Associated Deficit Accumulation Across 17 Years From Midlife Into Old Age. J Gerontol A Biol Sci Med Sci. 2022;77 (11):2281-2287. doi: 10.1093/gerona/glac007. PubMed PMID:35018457 PubMed Central PMC9678199.
  10. Kochar, B, Jylhävä, J, Söderling, J, Ritchie, CS, SWIBREG Study Group, Ludvigsson, JF et al.. Prevalence and Implications of Frailty in Older Adults With Incident Inflammatory Bowel Diseases: A Nationwide Cohort Study. Clin Gastroenterol Hepatol. 2022;20 (10):2358-2365.e11. doi: 10.1016/j.cgh.2022.01.001. PubMed PMID:34999206 PubMed Central PMC9294971.
  11. Tomata, Y, Wang, Y, Hägg, S, Jylhävä, J. Protein Nutritional Status and Frailty: A Mendelian Randomization Study. J Nutr. 2022;152 (1):269-275. doi: 10.1093/jn/nxab348. PubMed PMID:34601600 PubMed Central PMC8754580.

2021

  1. Wennberg, AM, Yin, W, Fang, F, Pedersen, NL, Hägg, S, Jylhävä, J et al.. Comparison of two different frailty scales in the longitudinal Swedish Adoption/Twin Study of Aging (SATSA). Scand J Public Health. 2023;51 (4):587-594. doi: 10.1177/14034948211059958. PubMed PMID:34904462PubMed Central PMC10265292.
  2. Tomata, Y, Wang, Y, Hägg, S, Jylhävä, J. Fatty Acids and Frailty: A Mendelian Randomization Study. Nutrients. 2021;13 (10):. doi: 10.3390/nu13103539. PubMed PMID:34684540 PubMed Central PMC8541183.
  3. Bai, G, Wang, Y, Kuja-Halkola, R, Li, X, Tomata, Y, Karlsson, IK et al.. Frailty and the risk of dementia: is the association explained by shared environmental and genetic factors?. BMC Med. 2021;19 (1):248. doi: 10.1186/s12916-021-02104-3. PubMed PMID:34657626 PubMed Central PMC8522144.
  4. Baldelli, L, Schade, S, Jesús, S, Schreglmann, SR, Sambati, L, Gómez-Garre, P et al.. Heterogeneity of prodromal Parkinson symptoms in siblings of Parkinson disease patients. NPJ Parkinsons Dis. 2021;7 (1):78. doi: 10.1038/s41531-021-00219-1. PubMed PMID:34493736 PubMed Central PMC8423761.
  5. Atkins, JL, Jylhävä, J, Pedersen, NL, Magnusson, PK, Lu, Y, Wang, Y et al.. A genome-wide association study of the frailty index highlights brain pathways in ageing. Aging Cell. 2021;20 (9):e13459. doi: 10.1111/acel.13459. PubMed PMID:34431594 PubMed Central PMC8441299.
  6. Mak, JKL, Reynolds, CA, Hägg, S, Li, X, Ericsson, M, Pedersen, NL et al.. Sex differences in genetic and environmental influences on frailty and its relation to body mass index and education. Aging (Albany NY). 2021;13 (13):16990-17023. doi: 10.18632/aging.203262. PubMed PMID:34230219PubMed Central PMC8312411.
  7. Bai, G, Szwajda, A, Wang, Y, Li, X, Bower, H, Karlsson, IK et al.. Frailty trajectories in three longitudinal studies of aging: Is the level or the rate of change more predictive of mortality?. Age Ageing. 2021;50 (6):2174-2182. doi: 10.1093/ageing/afab106. PubMed PMID:34120182 PubMed Central PMC8581383.
  8. Hägg, S, Jylhävä, J. Sex differences in biological aging with a focus on human studies. Elife. 2021;10 :. doi: 10.7554/eLife.63425. PubMed PMID:33982659 PubMed Central PMC8118651.
  9. Karlsson, IK, Ericsson, M, Wang, Y, Jylhävä, J, Hägg, S, Dahl Aslan, AK et al.. Epigenome-wide association study of level and change in cognitive abilities from midlife through late life. Clin Epigenetics. 2021;13 (1):85. doi: 10.1186/s13148-021-01075-9. PubMed PMID:33883019 PubMed Central PMC8061224.
  10. Li, X, Ploner, A, Wang, Y, Zhan, Y, Pedersen, NL, Magnusson, PK et al.. Clinical biomarkers and associations with healthspan and lifespan: Evidence from observational and genetic data. EBioMedicine. 2021;66 :103318. doi: 10.1016/j.ebiom.2021.103318. PubMed PMID:33813140 PubMed Central PMC8047464.
  11. Mak, JKL, Kuja-Halkola, R, Wang, Y, Hägg, S, Jylhävä, J. Frailty and comorbidity in predicting community COVID-19 mortality in the U.K. Biobank: The effect of sampling. J Am Geriatr Soc. 2021;69 (5):1128-1139. doi: 10.1111/jgs.17089. PubMed PMID:33619733 PubMed Central PMC8013405.
  12. Hägg, S, Jylhävä, J, Wang, Y, Czene, K, Grassmann, F. Correction to: Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance. Hum Genet. 2021;140 (6):863. doi: 10.1007/s00439-021-02258-3. PubMed PMID:33547498 PubMed Central PMC8496643.
  13. van Dongen, J, Hagenbeek, FA, Suderman, M, Roetman, PJ, Sugden, K, Chiocchetti, AG et al.. DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan. Mol Psychiatry. 2021;26 (6):2148-2162. doi: 10.1038/s41380-020-00987-x. PubMed PMID:33420481 PubMed Central PMC8263810.
  14. Pirazzini, C, Azevedo, T, Baldelli, L, Bartoletti-Stella, A, Calandra-Buonaura, G, Dal Molin, A et al.. A geroscience approach for Parkinson’s disease: Conceptual framework and design of PROPAG-AGEING project. Mech Ageing Dev. 2021;194 :111426. doi: 10.1016/j.mad.2020.111426. PubMed PMID:33385396 .
  15. Hägg, S, Jylhävä, J, Wang, Y, Czene, K, Grassmann, F. Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance. Hum Genet. 2021;140 (6):849-861. doi: 10.1007/s00439-020-02249-w. PubMed PMID:33385171 PubMed Central PMC8099832.

2020

  1. Pirazzini, C, Azevedo, T, Baldelli, L, Bartoletti-Stella, A, Calandra-Buonaura, G, Dal Molin, A et al.. A geroscience approach for Parkinson’s disease: Conceptual framework and design of PROPAG-AGEING project. Mech Ageing Dev. 2021;194 :111426. doi: 10.1016/j.mad.2020.111426. PubMed PMID:33385396 .
  2. Hägg, S, Jylhävä, J, Wang, Y, Czene, K, Grassmann, F. Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance. Hum Genet. 2021;140 (6):849-861. doi: 10.1007/s00439-020-02249-w. PubMed PMID:33385171 PubMed Central PMC8099832.
  3. Hägg, S, Jylhävä, J, Wang, Y, Xu, H, Metzner, C, Annetorp, M et al.. Age, Frailty, and Comorbidity as Prognostic Factors for Short-Term Outcomes in Patients With Coronavirus Disease 2019 in Geriatric Care. J Am Med Dir Assoc. 2020;21 (11):1555-1559.e2. doi: 10.1016/j.jamda.2020.08.014. PubMed PMID:32978065 PubMed Central PMC7427570.
  4. Nyberg, A, Larsson, A, Jylhävä, J, Hurme, M, Sperber, J, Lipcsey, M et al.. Lung-protective ventilation suppresses systemic and hepatic vein levels of cell-free DNA in porcine experimental post-operative sepsis. BMC Pulm Med. 2020;20 (1):206. doi: 10.1186/s12890-020-01239-y. PubMed PMID:32736620 PubMed Central PMC7393331.
  5. Reynolds, CA, Tan, Q, Munoz, E, Jylhävä, J, Hjelmborg, J, Christiansen, L et al.. A decade of epigenetic change in aging twins: Genetic and environmental contributions to longitudinal DNA methylation. Aging Cell. 2020;19 (8):e13197. doi: 10.1111/acel.13197. PubMed PMID:32710526PubMed Central PMC7431820.
  6. Raymond, E, Reynolds, CA, Dahl Aslan, AK, Finkel, D, Ericsson, M, Hägg, S et al.. Drivers of Frailty from Adulthood into Old Age: Results from a 27-Year Longitudinal Population-Based Study in Sweden. J Gerontol A Biol Sci Med Sci. 2020;75 (10):1943-1950. doi: 10.1093/gerona/glaa106. PubMed PMID:32348465 PubMed Central PMC7518563.
  7. Li, X, Ploner, A, Wang, Y, Magnusson, PK, Reynolds, C, Finkel, D et al.. Longitudinal trajectories, correlations and mortality associations of nine biological ages across 20-years follow-up. Elife. 2020;9 :. doi: 10.7554/eLife.51507. PubMed PMID:32041686 PubMed Central PMC7012595.
  8. Karlsson, IK, Ericsson, M, Wang, Y, Jylhävä, J, Hägg, S, Pedersen, NL et al.. Replicating associations between DNA methylation and body mass index in a longitudinal sample of older twins. Int J Obes (Lond). 2020;44 (6):1397-1405. doi: 10.1038/s41366-019-0498-6. PubMed PMID:31801962 .
  9. Hägg, S, Jylhävä, J. Should we invest in biological age predictors to treat colorectal cancer in older adults?. Eur J Surg Oncol. 2020;46 (3):316-320. doi: 10.1016/j.ejso.2019.11.003. PubMed PMID:31761509 .

2018

  1. Svane, AM, Soerensen, M, Lund, J, Tan, Q, Jylhävä, J, Wang, Y et al.. DNA Methylation and All-Cause Mortality in Middle-Aged and Elderly Danish Twins. Genes (Basel). 2018;9 (2):. doi: 10.3390/genes9020078. PubMed PMID:29419728 PubMed Central PMC5852574.

2017

  1. Jiang, M, Foebel, AD, Kuja-Halkola, R, Karlsson, I, Pedersen, NL, Hägg, S et al.. Frailty index as a predictor of all-cause and cause-specific mortality in a Swedish population-based cohort. Aging (Albany NY). 2017;9 (12):2629-2646. doi: 10.18632/aging.101352. PubMed PMID:29273703 PubMed Central PMC5764396.
  2. Marttila, S, Nevalainen, T, Jylhävä, J, Kananen, L, Jylhä, M, Hervonen, A et al.. Human endogenous retrovirus HERV-K(HML-2) env expression is not associated with markers of immunosenescence. Exp Gerontol. 2017;97 :60-63. doi: 10.1016/j.exger.2017.07.019. PubMed PMID:28774724 .
  3. Jylhävä, J, Pedersen, NL, Hägg, S. Biological Age Predictors. EBioMedicine. 2017;21 :29-36. doi: 10.1016/j.ebiom.2017.03.046. PubMed PMID:28396265 PubMed Central PMC5514388.
  4. Lisko, I, Tiainen, K, Raitanen, J, Jylhävä, J, Hurme, M, Hervonen, A et al.. Body Mass Index and Waist Circumference as Predictors of Disability in Nonagenarians: The Vitality 90+ Study. J Gerontol A Biol Sci Med Sci. 2017;72 (11):1569-1574. doi: 10.1093/gerona/glx032. PubMed PMID:28329171 .
  5. Nevalainen, T, Kananen, L, Marttila, S, Jylhävä, J, Mononen, N, Kähönen, M et al.. Obesity accelerates epigenetic aging in middle-aged but not in elderly individuals. Clin Epigenetics. 2017;9 :20. doi: 10.1186/s13148-016-0301-7. PubMed PMID:28289477 PubMed Central PMC5310016.

2016

  1. Nevalainen, T, Kananen, L, Marttila, S, Jylhävä, J, Jylhä, M, Hervonen, A et al.. Increased Paternal Age at Conception Is Associated with Transcriptomic Changes Involved in Mitochondrial Function in Elderly Individuals. PLoS One. 2016;11 (11):e0167028. doi: 10.1371/journal.pone.0167028. PubMed PMID:27880854 PubMed Central PMC5120832.
  2. Lehtonen, JM, Forsström, S, Bottani, E, Viscomi, C, Baris, OR, Isoniemi, H et al.. FGF21 is a biomarker for mitochondrial translation and mtDNA maintenance disorders. Neurology. 2016;87 (22):2290-2299. doi: 10.1212/WNL.0000000000003374. PubMed PMID:27794108 PubMed Central PMC5270510.
  3. Alapirtti, T, Jylhävä, J, Raitanen, J, Mäkinen, R, Peltola, J, Hurme, MA et al.. The concentration of cell-free DNA in video-EEG patients is dependent on the epilepsy syndrome and duration of epilepsy. Neurol Res. 2016;38 (1):45-50. doi: 10.1080/01616412.2015.1127004. PubMed PMID:27118450.
  4. Jylhävä, J, Kananen, L, Raitanen, J, Marttila, S, Nevalainen, T, Hervonen, A et al.. Methylomic predictors demonstrate the role of NF-κB in old-age mortality and are unrelated to the aging-associated epigenetic drift. Oncotarget. 2016;7 (15):19228-41. doi: 10.18632/oncotarget.8278. PubMed PMID:27015559 PubMed Central PMC4991378.
  5. Enroth, L, Raitanen, J, Hervonen, A, Lehtimäki, T, Jylhävä, J, Hurme, M et al.. Cardiometabolic and Inflammatory Biomarkers as Mediators Between Educational Attainment and Functioning at the Age of 90 Years. J Gerontol A Biol Sci Med Sci. 2016;71 (3):412-9. doi: 10.1093/gerona/glv105. PubMed PMID:26328604 .