Tracking the Epigenetic Clock Across the Human Life Course: A Meta-analysis of Longitudinal Cohort Data.
Tracking the Epigenetic Clock Across the Human Life Course: A Meta-analysis of Longitudinal Cohort Data.
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DOI：
10.1093/gerona/gly060
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发表时间：
2019-01-01
期刊：
影响因子：
--
通讯作者：
Hägg S
中科院分区：
文献类型：
--
作者：
Marioni RE;Suderman M;Chen BH;Horvath S;Bandinelli S;Morris T;Beck S;Ferrucci L;Pedersen NL;Relton CL;Deary IJ;Hägg S
Epigenetic clocks based on DNA methylation yield high correlations with chronological age in cross-sectional data. Due to a paucity of longitudinal data, it is not known how Δage (epigenetic age – chronological age) changes over time or if it remains constant from childhood to old age. Here, we investigate this using longitudinal DNA methylation data from five datasets, covering most of the human life course. Two measures of the epigenetic clock (Hannum and Horvath) are used to calculate Δage in the following cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC) offspring (n = 986, total age-range 7–19 years, 2 waves), ALSPAC mothers (n = 982, 16–60 years, 2 waves), InCHIANTI (n = 460, 21–100 years, 2 waves), SATSA (n = 373, 48–99 years, 5 waves), Lothian Birth Cohort 1936 (n = 1,054, 70–76 years, 3 waves), and Lothian Birth Cohort 1921 (n = 476, 79–90 years, 3 waves). Linear mixed models were used to track longitudinal change in Δage within each cohort. For both epigenetic age measures, Δage showed a declining trend in almost all of the cohorts. The correlation between Δage across waves ranged from 0.22 to 0.82 for Horvath and 0.25 to 0.71 for Hannum, with stronger associations in samples collected closer in time. Epigenetic age increases at a slower rate than chronological age across the life course, especially in the oldest population. Some of the effect is likely driven by survival bias, where healthy individuals are those maintained within a longitudinal study, although other factors like the age distribution of the underlying training population may also have influenced this trend.
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全基因组甲基化谱揭示了人类衰老速度的定量观点。
影响因子：
16
作者：
Hannum, Gregory;Guinney, Justin;Zhao, Ling;Zhang, Li;Hughes, Guy;Sadda, SriniVas;Klotzle, Brandy;Bibikova, Marina;Fan, Jian-Bing;Gao, Yuan;Deconde, Rob;Chen, Menzies;Rajapakse, Indika;Friend, Stephen;Ideker, Trey;Zhang, Kang
通讯作者：
Zhang, Kang
影响因子：
3.8
作者：
Dedeurwaerder, Sarah;Defrance, Matthieu;Fuks, Francois
通讯作者：
Fuks, Francois
影响因子：
4.1
作者：
Deary IJ;Gow AJ;Taylor MD;Corley J;Brett C;Wilson V;Campbell H;Whalley LJ;Visscher PM;Porteous DJ;Starr JM
通讯作者：
Starr JM
DOI：
10.1111/j.1532-5415.2000.tb03873.x
发表时间：
2000-12-01
影响因子：
6.3
作者：
Ferrucci, L;Bandinelli, S;Guralnik, JM
通讯作者：
Guralnik, JM
影响因子：
7.7
作者：
Relton CL;Gaunt T;McArdle W;Ho K;Duggirala A;Shihab H;Woodward G;Lyttleton O;Evans DM;Reik W;Paul YL;Ficz G;Ozanne SE;Wipat A;Flanagan K;Lister A;Heijmans BT;Ring SM;Davey Smith G
通讯作者：
Davey Smith G