德纳姆
DNA甲基化
队列
危险系数
单倍型
表观遗传学
医学
比例危险模型
肿瘤科
内科学
表观基因组
生物信息学
遗传学
生物
基因
等位基因
置信区间
基因表达
作者
Yan Zhang,Rory Wilson,Jonathan Heiss,Lutz Philipp Breitling,Kai-Uwe Saum,Ben Schöttker,Bernd Holleczek,Mélanie Waldenberger,Annette Peters,Hermann Brenner
摘要
DNA methylation (DNAm) has been revealed to play a role in various diseases. Here we performed epigenome-wide screening and validation to identify mortality-related DNAm signatures in a general population-based cohort with up to 14 years follow-up. In the discovery panel in a case-cohort approach, 11,063 CpGs reach genome-wide significance (FDR<0.05). 58 CpGs, mapping to 38 well-known disease-related genes and 14 intergenic regions, are confirmed in a validation panel. A mortality risk score based on ten selected CpGs exhibits strong association with all-cause mortality, showing hazard ratios (95% CI) of 2.16 (1.10-4.24), 3.42 (1.81-6.46) and 7.36 (3.69-14.68), respectively, for participants with scores of 1, 2-5 and 5+ compared with a score of 0. These associations are confirmed in an independent cohort and are independent from the 'epigenetic clock'. In conclusion, DNAm of multiple disease-related genes are strongly linked to mortality outcomes. The DNAm-based risk score might be informative for risk assessment and stratification.
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