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3. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L, Min, Josine L, Richmond, Rebecca C, Lu, Ake T, Sobczyk, Maria K, Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R, Mishra, Pashupati P, Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M, Ratliff, Scott M, Richardson, Tom G, Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D, Walker, Rosie M, Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R, Gieger, Christian, de Geus, Eco JC, Harris, Sarah E, Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon LR, Kresovich, Jacob K, Li, Shengxu, Lunetta, Kathryn L, Mangino, Massimo, Mason, Dan, McIntosh, Andrew M, Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M, Ollikainen, Miina, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Polidoro, Silvia, Porteous, David J, Raitakari, Olli, Rich, Stephen S, Sandler, Dale P, Sillanpää, Elina, Smith, Alicia K, Southey, Melissa C, Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G, Van Den Berg, David J, van Dongen, Jenny, Wilson, James G, Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T, Binder, Alexandra M, Boomsma, Dorret I, Chen, Wei, Christensen, Kaare, Conneely, Karen N, Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A, Lehtimäki, Terho, Lohoff, Falk W, Milani, Lili, Milne, Roger L, Probst-Hensch, Nicole, Reiner, Alex P, Ritz, Beate, and Rotter, Jerome I

Subjects
Prevention, Nutrition, Aging, Human Genome, Genetics, Generic health relevance, Inflammatory and immune system, Good Health and Well Being, Adiposity, Biomarkers, C-Reactive Protein, CpG Islands, DNA Methylation, Educational Status, Epigenesis, Genetic, Genetic Loci, Genetic Markers, Genome, Human, Genome-Wide Association Study, Granulocytes, Humans, Immunity, Innate, Lipid Metabolism, Multifactorial Inheritance, Plasminogen Activator Inhibitor 1, DNA methylation, GWAS, Epigenetic clock, Genetics of DNA Methylation Consortium, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Environmental Sciences, Biological Sciences, Information and Computing Sciences, Bioinformatics
Abstract

BackgroundBiological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field.ResultsLeveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels.ConclusionThis study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.

Published
2021

10. Genome-Wide Polygenic Score for Muscle Strength Predicts Risk for Common Diseases and Lifespan: A Prospective Cohort Study.

Author

Herranen, Päivi, Koivunen, Kaisa, Palviainen, Teemu, Kujala, Urho M, Ripatti, Samuli, Kaprio, Jaakko, Sillanpää, Elina, and FinnGen

Subjects
MUSCLE strength, GRIP strength, HEALTH behavior, LONGITUDINAL method, COHORT analysis
Abstract

Background We used a polygenic score for hand grip strength (PGS HGS) to investigate whether genetic predisposition for higher muscle strength predicts age-related noncommunicable diseases, survival from acute adverse health events, and mortality. Methods This study consisted of 342 443 Finnish biobank participants from FinnGen Data Freeze 10 (53% women) aged 40–108 with combined genotype and health registry data. Associations between PGS HGS and a total of 27 clinical endpoints were explored with linear or Cox regression models. Results A higher PGS HGS was associated with a reduced risk of selected common noncommunicable diseases and mortality by 2%–10%. The risk for these medical conditions decreased by 5%–23% for participants in the highest PGS HGS quintile compared to those in the lowest PGS HGS quintile. A 1 standard deviation (SD) increase in the PGS HGS predicted a lower body mass index (β = −0.112 kg/m2, standard error [ SE ] = 0.017, p  = 1.69E-11) in women but not in men (β = 0.004 kg/m2, p  = .768). PGS HGS was not associated with better survival after acute adverse health events compared to the nondiseased period. Conclusions The genotype that supports higher muscle strength appears to protect against future health adversities, albeit with modest effect sizes. Further research is needed to investigate whether or how a favorable lifestyle modifies this intrinsic capacity to resist diseases, and if the impacts of lifestyle behavior on health differs due to genetic predisposition for muscle strength. [ABSTRACT FROM AUTHOR]

Published
2024
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16. O.4.2-9 Shared genetic factors may partly explain the associations between physical activity and cardiometabolic diseases

Author

Sillanpää, Elina, primary, Tynkkynen, Niko, additional, Törmäkangas, Timo, additional, Palviainen, Teemu, additional, Hyvärinen, Matti, additional, Joensuu, Laura, additional, Klevjer, Marie, additional, Bye, Anja, additional, Paula, Pesonen, additional, Katja, Waller, additional, Maarit, Kangas, additional, Minna, Männikkö, additional, Henri, Vähä-Ypyä, additional, Harri, Sievänen, additional, Raija, Korpelainen, additional, Timo, Jämsä, additional, Maisa, Niemelä, additional, Samuli, Ripatti, additional, Urho, Kujala, additional, and Jaakko, Kaprio, additional

Published
2023
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19. Polygenic Risk Scores and Physical Activity

Author

KUJALA, URHO M., PALVIAINEN, TEEMU, PESONEN, PAULA, WALLER, KATJA, SILLANPÄÄ, ELINA, NIEMELÄ, MAISA, KANGAS, MAARIT, VÄHÄ-YPYÄ, HENRI, SIEVÄNEN, HARRI, KORPELAINEN, RAIJA, JÄMSÄ, TIMO, MÄNNIKKÖ, MINNA, and KAPRIO, JAAKKO

Published
2020
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21. Mortality associations with DNA methylation-based biological aging and physical functioning measures across a 20-year follow-up period

Author

Föhr, Tiina, Waller, Katja, Viljanen, Anne, Rantanen, Taina, Kaprio, Jaakko, Ollikainen, Miina, and Sillanpää, Elina

Subjects
kuolleisuus, kaksoset, ikääntyminen, epigenetiikka, perimä, epigeneettinen periytyminen, twins, walking speed, Timed Up and Go test, epigenetic clock, kävely
Abstract

Background Measures of biological aging range from DNA methylation (DNAm)-based estimates to measures of physical abilities. The purpose of this study was to compare DNAm- and physical functioning-based measures of biological aging in predicting mortality. Methods We studied 63- to 76-year-old women (N = 395) from the Finnish Twin Study on Aging (FITSA). Participants’ biological age (epigenetic clocks DNAm GrimAge and DunedinPACE) was estimated using blood DNAm data. Tests of physical functioning conducted under standardized laboratory conditions included the Timed Up and Go (TUG) test and 10-m walk test. Mortality hazard ratios (HRs) were calculated per every one standard deviation (SD) increase in the predictor. Cox regression models were conducted for individuals and twin pairs, the latter controlling for underlying genetic effects. The models were adjusted for known lifestyle predictors of mortality. Results During the follow-up period (mean 17.0 years, range 0.2–20.3), 187 participants died. In both the individual-based and pairwise analyses, GrimAge and both functional biomarkers of aging were associated with mortality independent of family relatedness, chronological age, physical activity, body mass index, smoking, education, or chronic diseases. In a model including both the DNAm-based measures and functional biomarkers of aging, GrimAge and TUG remained predictive. Conclusions The findings suggest that DNAm GrimAge and the TUG test are strong predictors of mortality independent of each other’s and genetic influences. DNAm-based measures and functional tests capture different aspects of the aging process and thus complement each other as measures of biological aging in predicting mortality. peerReviewed

Published
2023

23. Systemic circulating microRNA landscape in Lynch syndrome

Author

Sievänen, Tero, primary, Korhonen, Tia‐Marje, additional, Jokela, Tiina, additional, Ahtiainen, Maarit, additional, Lahtinen, Laura, additional, Kuopio, Teijo, additional, Lepistö, Anna, additional, Sillanpää, Elina, additional, Mecklin, Jukka‐Pekka, additional, Seppälä, Toni T., additional, and Laakkonen, Eija K., additional

Published
2022
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25. Methylation status of VTRNA2-1/nc886 is stable across populations, monozygotic twin pairs and in majority of tissues

Author

Marttila, Saara, primary, Tamminen, Hely, additional, Rajić, Sonja, additional, Mishra, Pashupati P, additional, Lehtimäki, Terho, additional, Raitakari, Olli, additional, Kähönen, Mika, additional, Kananen, Laura, additional, Jylhävä, Juulia, additional, Hägg, Sara, additional, Delerue, Thomas, additional, Peters, Annette, additional, Waldenberger, Melanie, additional, Kleber, Marcus E, additional, März, Winfried, additional, Luoto, Riitta, additional, Raitanen, Jani, additional, Sillanpää, Elina, additional, Laakkonen, Eija K, additional, Heikkinen, Aino, additional, Ollikainen, Miina, additional, and Raitoharju, Emma, additional

Published
2022
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27. Promoting safe walking among older people: the effects of a physical and cognitive training intervention vs. physical training alone on mobility and falls among older community-dwelling men and women (the PASSWORD study): design and methods of a randomized controlled trial

Author

Sipilä, Sarianna, Tirkkonen, Anna, Hänninen, Tuomo, Laukkanen, Pia, Alen, Markku, Fielding, Roger A., Kivipelto, Miia, Kokko, Katja, Kulmala, Jenni, Rantanen, Taina, Sihvonen, Sanna E., Sillanpää, Elina, Stigsdotter-Neely, Anna, and Törmäkangas, Timo

Published
2018
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30. Methylation status of VTRNA2-1/nc886 is stable across human populations, monozygotic twin pairs and in majority of somatic tissues

Author

Marttila, Saara, primary, Tamminen, Hely, additional, Rajić, Sonja, additional, Mishra, Pashupati P, additional, Lehtimäki, Terho, additional, Raitakari, Olli, additional, Kähönen, Mika, additional, Kananen, Laura, additional, Jylhävä, Juulia, additional, Hägg, Sara, additional, Delerue, Thomas, additional, Peters, Annette, additional, Waldenberger, Melanie, additional, Kleber, Marcus E, additional, März, Winfried, additional, Luoto, Riitta, additional, Raitanen, Jani, additional, Sillanpää, Elina, additional, Laakkonen, Eija K, additional, Heikkinen, Aino, additional, Ollikainen, Miina, additional, and Raitoharju, Emma, additional

Published
2022
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32. Systemic circulating microRNA landscape in Lynch syndrome.

Author

Sievänen, Tero, Korhonen, Tia‐Marje, Jokela, Tiina, Ahtiainen, Maarit, Lahtinen, Laura, Kuopio, Teijo, Lepistö, Anna, Sillanpää, Elina, Mecklin, Jukka‐Pekka, Seppälä, Toni T., and Laakkonen, Eija K.

Subjects
HEREDITARY nonpolyposis colorectal cancer, TUMOR suppressor genes, MICRORNA, GENE expression, GENETIC variation, NON-coding RNA
Abstract

Circulating microRNAs (c‐miRs) are small noncoding RNA molecules that migrate throughout the body and regulate gene expression. Global c‐miR expression patterns (c‐miRnomes) change with sporadic carcinogenesis and have predictive potential in early detection of cancers. However, there are no studies that have assessed whether c‐miRnomes display similar potential in carriers of inherited pathogenic mismatch‐repair gene variants (path_MMR), known as Lynch syndrome (LS), who are predisposed to highly increased cancer risk. Using high‐throughput sequencing and bioinformatic approaches, we conducted an exploratory analysis to characterize systemic c‐miRnomes of path_MMR carriers, sporadic rectal cancer patients and non‐LS controls. We showed for the first time that cancer‐free path_MMR carriers have a systemic c‐miRnome of 40 differentially expressed c‐miRs that can distinguish them from non‐LS controls. The systemic c‐miRnome of cancer‐free path_MMR carriers also resembles the systemic c‐miRnomes of cancer patients with or without path_MMR. Our pathway analysis linked the found differentially expressed c‐miRs to carcinogenesis. A total of 508 putative target genes were identified for 32 out of 40 differentially expressed c‐miRs, and 238 of them were enriched in cancer‐related pathways. The most enriched c‐miR‐target genes include well‐known oncogenes and tumor suppressor genes such as BCL2, AKT3, PIK3CA, KRAS, NRAS, CDKN1A and PIK3R1. Taken together, our findings suggest that LS and sporadic carcinogenesis share common biological pathways and alterations in these pathways can produce a c‐miR signature which can track potential oncogenic stress in cancer‐free path_MMR carriers. Therefore, c‐miRs hold potential in monitoring the LS risk stratification patterns during clinical surveillance or cancer management. [ABSTRACT FROM AUTHOR]

Published
2023
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34. Body Weight, Physical Activity, and Risk of Cancer in Lynch Syndrome

Author

Sievänen, Tero, Törmäkangas, Timo, Laakkonen, Eija K., Mecklin, Jukka-Pekka, Pylvänäinen, Kirsi, Seppälä, Toni T., Peltomäki, Päivi, Sipilä, Sarianna, Sillanpää, Elina, HUS Abdominal Center, Clinicum, Department of Surgery, Department of Medical and Clinical Genetics, University of Helsinki, and Institute for Molecular Medicine Finland

Subjects
elintavat, perinnölliset taudit, MENOPAUSE, lifestyle, MUTATIONS, 3122 Cancers, hereditary non-polyposis colorectal cancer, ylipaino, EXERCISE, suolistosyövät, riskitekijät, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, lcsh:RC254-282, Article, COLORECTAL-CANCER, ESTROGEN, ADIPOSE-TISSUE, MASS INDEX, AGE, DEFINED FAMILIAL RISK, epidemiology, epidemiologia, Lynchin oireyhtymä, fyysinen aktiivisuus, ASSOCIATIONS
Abstract

Simple Summary Lifestyle modifies cancer risk in the general public. How lifestyle modifies cancer risk in individuals carrying the inherited pathogenic gene variants in DNA mismatch repair genes (Lynch syndrome) remains understudied. We conducted a retrospective study with cancer register data to investigate associations between body weight, physical activity, and cancer risk among Finnish Lynch syndrome carriers (n = 465, 54% women). The results of our study indicated that longitudinal weight gain increases cancer risk, whereas being highly physically active during adulthood could decrease cancer risk in men. Further, women were observed to be less prone to lifestyle-related risk factors than men. The results emphasize the role of weight maintenance and high-intensity physical activity throughout the lifespan, especially in men with Lynch syndrome. Lynch syndrome (LS) increases cancer risk. There is considerable individual variation in LS cancer occurrence, which may be moderated by lifestyle factors, such as body weight and physical activity (PA). The potential associations of lifestyle and cancer risk in LS are understudied. We conducted a retrospective study with cancer register data to investigate associations between body weight, PA, and cancer risk among Finnish LS carriers. The participants (n = 465, 54% women) self-reported their adulthood body weight and PA at 10-year intervals. Overall cancer risk and colorectal cancer (CRC) risk was analyzed separately for men and women with respect to longitudinal and near-term changes in body weight and PA using extended Cox regression models. The longitudinal weight change was associated with an increased risk of all cancers (HR 1.02, 95% CI 1.00-1.04) and CRC (HR 1.03, 1.01-1.05) in men. The near-term weight change was associated with a lower CRC risk in women (HR 0.96, 0.92-0.99). Furthermore, 77.6% of the participants retained their PA category over time. Men in the high-activity group had a reduced longitudinal cancer risk of 63% (HR 0.37, 0.15-0.98) compared to men in the low-activity group. PA in adulthood was not associated with cancer risk among women. These results emphasize the role of weight maintenance and high-intensity PA throughout the lifespan in cancer prevention, particularly in men with LS.

Published
2021

42. Does the epigenetic clock GrimAge predict mortality independent of genetic influences: an 18 year follow-up study in older female twin pairs

Author

Tiina, Föhr, Katja, Waller, Anne, Viljanen, Riikka, Sanchez, Miina, Ollikainen, Taina, Rantanen, Jaakko, Kaprio, and Sillanpää, Elina

Subjects
Epigenomics, Aging, Epigenetic clock, Alcohol Drinking, Research, Biological age, Smoking, Twins, Correction, Twins, Monozygotic, DNA Methylation, Middle Aged, Epigenesis, Genetic, Humans, Female, Longitudinal Studies, Mortality, Exercise, Geriatric Assessment, Life Style, Finland, Aged, Follow-Up Studies
Abstract

Background Epigenetic clocks are based on DNA methylation (DNAm). It has been suggested that these clocks are useable markers of biological aging and premature mortality. Because genetic factors explain variations in both epigenetic aging and mortality, this association could also be explained by shared genetic factors. We investigated the influence of genetic and lifestyle factors (smoking, alcohol consumption, physical activity, chronic diseases, body mass index) and education on the association of accelerated epigenetic aging with mortality using a longitudinal twin design. Utilizing a publicly available online tool, we calculated the epigenetic age using two epigenetic clocks, Horvath DNAmAge and DNAm GrimAge, in 413 Finnish twin sisters, aged 63–76 years, at the beginning of the 18-year mortality follow-up. Epigenetic age acceleration was calculated as the residuals from a linear regression model of epigenetic age estimated on chronological age (AAHorvath, AAGrimAge, respectively). Cox proportional hazard models were conducted for individuals and twin pairs. Results The results of the individual-based analyses showed an increased mortality hazard ratio (HR) of 1.31 (CI95: 1.13–1.53) per one standard deviation (SD) increase in AAGrimAge. The results indicated no significant associations of AAHorvath with mortality. Pairwise mortality analyses showed an HR of 1.50 (CI95: 1.02–2.20) per 1 SD increase in AAGrimAge. However, after adjusting for smoking, the HR attenuated substantially and was statistically non-significant (1.29; CI95: 0.84–1.99). Similarly, in multivariable adjusted models the HR (1.42–1.49) was non-significant. In AAHorvath, the non-significant HRs were lower among monozygotic pairs in comparison to dizygotic pairs, while in AAGrimAge there were no systematic differences by zygosity. Further, the pairwise analysis in quartiles showed that the increased within pair difference in AAGrimAge was associated with a higher all-cause mortality risk. Conclusions In conclusion, the findings suggest that DNAm GrimAge is a strong predictor of mortality independent of genetic influences. Smoking, which is known to alter DNAm levels and is built into the DNAm GrimAge algorithm, attenuated the association between epigenetic aging and mortality risk. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01112-7.

Published
2021

43. Additional file 1 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 1. Individual cohort descriptions and acknowledgements.

Published
2021
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44. Additional file 5 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 5. Colocalization plots.

Published
2021
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45. Additional file 6 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 6. Review history.

Published
2021
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46. Effects of Physical and Cognitive Training on Gait Speed and Cognition in Older Adults : A Randomized Controlled Trial

Author

Sipilä, Sarianna, Tirkkonen, Anna, Savikangas, Tiina, Hänninen, Tuomo, Laukkanen, Pia, Alen, Markku, Fielding, Roger A., Kivipelto, Miia, Kulmala, Jenni, Rantanen, Taina, Sihvonen, Sanna E, Sillanpää, Elina, Stigsdotter Neely, Anna, and Törmäkangas, Timo

Subjects
walking, community‐dwelling, toiminnanohjaus (psykologia), ikääntyminen, exercise, aging, fyysinen toimintakyky, harjoittelu, liikunta, executive functions, human activities, ikääntyneet, kävely
Abstract

Gait speed is a measure of health and functioning. Physical and cognitive determinants of gait are amenable to interventions, but best practices remain unclear. We investigated the effects of a 12‐month physical and cognitive training (PTCT) on gait speed, dual‐task cost in gait speed, and executive functions (EFs) compared to physical training (PT) (ISRCTN52388040). Community‐dwelling older adults, who did not meet physical activity recommendations, were recruited (n=314). PT included supervised walking/balance (once weekly) and resistance/balance training (once weekly), home exercises (2‐3 times weekly) and moderate aerobic activity 150 minutes/week in bouts of >10 minutes. PTCT included the PT and computer training (CT) on EFs 15‐20 minutes, 3‐4 times weekly. The primary outcome was gait speed. Secondary outcomes were 6‐minute walking distance, dual‐task cost in gait speed, and EF (Stroop and Trail Making B‐A). The trial was completed by 93% of the participants (age 74.5 [SD3.8] years; 60% women). Mean adherence to supervised sessions was 59‐72% in PT and 62‐77% in PTCT. Home exercises and CT were performed on average 1.9 times/week. Weekly minutes spent in aerobic activities were 188 (median 169) in PT and 207 (median 180) in PTCT. No significant interactions were observed for gait speed (PTCT‐PT, 0.02; 95%CI ‐0.03, 0.08), walking distance (‐3.8; ‐16.9, 9.3) or dual‐task cost (‐0.22; ‐1.74, 1.30). Stroop improvement was greater after PTCT than PT (‐6.9; ‐13.0, ‐0.8). Complementing physical training with EFs training is not essential for promotion of gait speed. For EF’s, complementing physical training with targeted cognitive training provides additional benefit. peerReviewed

Published
2021

47. Additional file 4 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 4. Assessment of genomic inflation and heterogeneity.

Published
2021
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48. Additional file 3 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 3. Supplementary Figures - Figures S1-S31.

Published
2021
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50. Do Epigenetic Clocks Provide Explanations for Sex Differences in Life Span? A Cross-Sectional Twin Study.

Author

Kankaanpää, Anna, Tolvanen, Asko, Saikkonen, Pirkko, Heikkinen, Aino, Laakkonen, Eija K, Kaprio, Jaakko, Ollikainen, Miina, and Sillanpää, Elina

Subjects
LIFE spans, TWIN studies, TWINS, SEX (Biology), OLDER people, HUMAN reproduction, RESEARCH, CROSS-sectional method, RESEARCH methodology, EVALUATION research, DNA methylation, COMPARATIVE studies, GENES, AGING, QUESTIONNAIRES, RESEARCH funding, LONGEVITY
Abstract

Background: The sex gap in life expectancy has been narrowing in Finland over the past 4-5 decades; however, on average, women still live longer than men. Epigenetic clocks are markers for biological aging which predict life span. In this study, we examined the mediating role of lifestyle factors on the association between sex and biological aging in younger and older adults.Methods: Our sample consists of younger and older twins (21‒42 years, n = 1 477; 50‒76 years, n = 763) including 151 complete younger opposite-sex twin pairs (21‒30 years). Blood-based DNA methylation was used to compute epigenetic age acceleration by 4 epigenetic clocks as a measure of biological aging. Path modeling was used to study whether the association between sex and biological aging is mediated through lifestyle-related factors, that is, education, body mass index, smoking, alcohol use, and physical activity.Results: In comparison to women, men were biologically older and, in general, they had unhealthier life habits. The effect of sex on biological aging was partly mediated by body mass index and, in older twins, by smoking. Sex was directly associated with biological aging and the association was stronger in older twins.Conclusions: Previously reported sex differences in life span are also evident in biological aging. Declining smoking prevalence among men is a plausible explanation for the narrowing of the difference in life expectancy between the sexes. Data generated by the epigenetic clocks may help in estimating the effects of lifestyle and environmental factors on aging and in predicting aging in future generations. [ABSTRACT FROM AUTHOR]

Published
2022
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