Ontology highlight
ABSTRACT:
SUBMITTER: Colicino E
PROVIDER: S-EPMC7425458 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Colicino Elena E Marioni Riccardo R Ward-Caviness Cavin C Gondalia Rahul R Guan Weihua W Chen Brian B Tsai Pei-Chien PC Huan Tianxiao T Xu Gao G Golareh Agha A Schwartz Joel J Vokonas Pantel P Just Allan A Starr John M JM McRae Allan F AF Wray Naomi R NR Visscher Peter M PM Bressler Jan J Zhang Wen W Tanaka Toshiko T Moore Ann Zenobia AZ Pilling Luke C LC Zhang Guosheng G Stewart James D JD Li Yun Y Hou Lifang L Castillo-Fernandez Juan J Spector Tim T Kiel Douglas P DP Murabito Joanne M JM Liu Chunyu C Mendelson Mike M Assimes Tim T Absher Devin D Tsaho Phil S PS Lu Ake T AT Ferrucci Luigi L Wilson Rory R Waldenberger Melanie M Prokisch Holger H Bandinelli Stefania S Bell Jordana T JT Levy Daniel D Deary Ian J IJ Horvath Steve S Pankow Jim J Peters Annette A Whitsel Eric A EA Baccarelli Andrea A
Aging 20200722 14
DNA methylation has fundamental roles in gene programming and aging that may help predict mortality. However, no large-scale study has investigated whether site-specific DNA methylation predicts all-cause mortality. We used the Illumina-HumanMethylation450-BeadChip to identify blood DNA methylation sites associated with all-cause mortality for 12, 300 participants in 12 Cohorts of the Heart and Aging Research in Genetic Epidemiology (CHARGE) Consortium. Over an average 10-year follow-up, there w ...[more]