Integrating the environmental and genetic architectures of aging and mortality

暴露的 生命银行 疾病 入射(几何) 医学 人类遗传学 老年学 人口学 生物 环境卫生 生物信息学 内科学 遗传学 物理 社会学 光学 基因
作者
M. Austin Argentieri,Najaf Amin,Alejo Nevado‐Holgado,William Sproviero,Jennifer A. Collister,Sarai Keestra,Midas M. Kuilman,Bigina N R Ginos,Mohsen Ghanbari,Aiden Doherty,David J. Hunter,Alexandra Alvergne,Cornelia M. van Duijn
出处
期刊:Nature Medicine [Nature Portfolio]
卷期号:31 (3): 1016-1025 被引量:152
标识
DOI:10.1038/s41591-024-03483-9
摘要

Both environmental exposures and genetics are known to play important roles in shaping human aging. Here we aimed to quantify the relative contributions of environment (referred to as the exposome) and genetics to aging and premature mortality. To systematically identify environmental exposures associated with aging in the UK Biobank, we first conducted an exposome-wide analysis of all-cause mortality (n = 492,567) and then assessed the associations of these exposures with a proteomic age clock (n = 45,441), identifying 25 independent exposures associated with mortality and proteomic aging. These exposures were also associated with incident age-related multimorbidity, aging biomarkers and major disease risk factors. Compared with information on age and sex, polygenic risk scores for 22 major diseases explained less than 2 percentage points of additional mortality variation, whereas the exposome explained an additional 17 percentage points. Polygenic risk explained a greater proportion of variation (10.3-26.2%) compared with the exposome for incidence of dementias and breast, prostate and colorectal cancers, whereas the exposome explained a greater proportion of variation (5.5-49.4%) compared with polygenic risk for incidence of diseases of the lung, heart and liver. Our findings provide a comprehensive map of the contributions of environment and genetics to mortality and incidence of common age-related diseases, suggesting that the exposome shapes distinct patterns of disease and mortality risk, irrespective of polygenic disease risk.
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