TY - JOUR
T1 - Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals
AU - Colicino, Elena
AU - Marioni, Riccardo
AU - Ward-Caviness, Cavin
AU - Gondalia, Rahul
AU - Guan, Weihua
AU - Chen, Brian
AU - Tsai, Pei Chien
AU - Huan, Tianxiao
AU - Xu, Gao
AU - Golareh, Agha
AU - Schwartz, Joel
AU - Vokonas, Pantel
AU - Just, Allan
AU - Starr, John M.
AU - McRae, Allan F.
AU - Wray, Naomi R.
AU - Visscher, Peter M.
AU - Bressler, Jan
AU - Zhang, Wen
AU - Tanaka, Toshiko
AU - Moore, Ann Zenobia
AU - Pilling, Luke C.
AU - Zhang, Guosheng
AU - Stewart, James D.
AU - Li, Yun
AU - Hou, Lifang
AU - Castillo-Fernandez, Juan
AU - Spector, Tim
AU - Kiel, Douglas P.
AU - Murabito, Joanne M.
AU - Liu, Chunyu
AU - Mendelson, Mike
AU - Assimes, Tim
AU - Absher, Devin
AU - Tsaho, Phil S.
AU - Lu, Ake T.
AU - Ferrucci, Luigi
AU - Wilson, Rory
AU - Waldenberger, Melanie
AU - Prokisch, Holger
AU - Bandinelli, Stefania
AU - Bell, Jordana T.
AU - Levy, Daniel
AU - Deary, Ian J.
AU - Horvath, Steve
AU - Pankow, Jim
AU - Peters, Annette
AU - Whitsel, Eric A.
AU - Baccarelli, Andrea
PY - 2020/7/31
Y1 - 2020/7/31
N2 - 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 were 2,561 deaths across the cohorts. Nine sites mapping to three intergenic and six gene-specific regions were associated with mortality (P < 9.3x10-7) independently of age and other mortality predictors. Six sites (cg14866069, cg23666362, cg20045320, cg07839457, cg07677157, cg09615688)-mapping respectively to BMPR1B, MIR1973, IFITM3, NLRC5, and two intergenic regions-were associated with reduced mortality risk. The remaining three sites (cg17086398, cg12619262, cg18424841)-mapping respectively to SERINC2, CHST12, and an intergenic region-were associated with increased mortality risk. DNA methylation at each site predicted 5%-15% of all deaths. We also assessed the causal association of those sites to age-related chronic diseases by using Mendelian randomization, identifying weak causal relationship between cg18424841 and cg09615688 with coronary heart disease. Of the nine sites, three (cg20045320, cg07839457, cg07677157) were associated with lower incidence of heart disease risk and two (cg20045320, cg07839457) with smoking and inflammation in prior CHARGE analyses. Methylation of cg20045320, cg07839457, and cg17086398 was associated with decreased expression of nearby genes (IFITM3, IRF, NLRC5, MT1, MT2, MARCKSL1) linked to immune responses and cardiometabolic diseases. These sites may serve as useful clinical tools for mortality risk assessment and preventative care.
AB - 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 were 2,561 deaths across the cohorts. Nine sites mapping to three intergenic and six gene-specific regions were associated with mortality (P < 9.3x10-7) independently of age and other mortality predictors. Six sites (cg14866069, cg23666362, cg20045320, cg07839457, cg07677157, cg09615688)-mapping respectively to BMPR1B, MIR1973, IFITM3, NLRC5, and two intergenic regions-were associated with reduced mortality risk. The remaining three sites (cg17086398, cg12619262, cg18424841)-mapping respectively to SERINC2, CHST12, and an intergenic region-were associated with increased mortality risk. DNA methylation at each site predicted 5%-15% of all deaths. We also assessed the causal association of those sites to age-related chronic diseases by using Mendelian randomization, identifying weak causal relationship between cg18424841 and cg09615688 with coronary heart disease. Of the nine sites, three (cg20045320, cg07839457, cg07677157) were associated with lower incidence of heart disease risk and two (cg20045320, cg07839457) with smoking and inflammation in prior CHARGE analyses. Methylation of cg20045320, cg07839457, and cg17086398 was associated with decreased expression of nearby genes (IFITM3, IRF, NLRC5, MT1, MT2, MARCKSL1) linked to immune responses and cardiometabolic diseases. These sites may serve as useful clinical tools for mortality risk assessment and preventative care.
KW - Aging
KW - All-cause mortality
KW - DNA methylation, 450K
KW - Epigenome-wide association studies
UR - http://www.scopus.com/inward/record.url?scp=85088842670&partnerID=8YFLogxK
U2 - 10.18632/aging.103408
DO - 10.18632/aging.103408
M3 - Article
AN - SCOPUS:85088842670
SN - 1945-4589
VL - 12
SP - 14092
EP - 14124
JO - Aging
JF - Aging
IS - 14
ER -