Genome-wide association studies identify 137 loci for DNA methylation biomarkers of ageing
Daniel L. McCartneyiD, Josine L. MiniD, Rebecca Claire RichmondiD, Ake Tzu-Hui LuiD, Maria SobczykiD, Gail DaviesiD, Linda BroeriD, Xiuqing GuoiD, Ayoung JeongiD, Jeesun JungiD, Silva KaselaiD, Şeyma KatrinliiD, Pei‐Lun Kuo, Pamela R. Matías‐GarcíaiD, Pashupati Prasad MishraiD, Marianne NygaardiD, Teemu PalviaineniD, Amit PatkiiD, Laura M. RaffieldiD, Scott M. RatliffiD, Tom G. RichardsoniD, Oliver RobinsoniD, Mette SoerenseniD, Dianjianyi SuniD, Pei-Chien TsaiiD, , Jerome I. RotteriD
Abstract
Biological ageing estimators derived from DNA methylation (DNAm) data are heritable and correlate with morbidity and mortality. Leveraging DNAm and SNP data from >41,000 individuals, we identify 137 genome-wide significant loci (113 novel) from meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We report strong genetic correlations with longevity and lifestyle factors such as smoking, education, and obesity. Significant associations are observed in polygenic risk score analysis and to a lesser extent in Mendelian randomization analyses. This study illuminates the genetic architecture underlying epigenetic ageing and its shared genetic contributions with lifestyle factors and longevity.
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