DNA methylation-based measures of biological age: meta-analysis predicting time to death.
DNA methylation-based measures of biological age: meta-analysis predicting time to death.
复制标题
DOI：
10.18632/aging.101020
复制
发表时间：
2016-09-28
期刊：
影响因子：
--
通讯作者：
Horvath S
中科院分区：
文献类型：
--
作者：
Chen BH;Marioni RE;Colicino E;Peters MJ;Ward-Caviness CK;Tsai PC;Roetker NS;Just AC;Demerath EW;Guan W;Bressler J;Fornage M;Studenski S;Vandiver AR;Moore AZ;Tanaka T;Kiel DP;Liang L;Vokonas P;Schwartz J;Lunetta KL;Murabito JM;Bandinelli S;Hernandez DG;Melzer D;Nalls M;Pilling LC;Price TR;Singleton AB;Gieger C;Holle R;Kretschmer A;Kronenberg F;Kunze S;Linseisen J;Meisinger C;Rathmann W;Waldenberger M;Visscher PM;Shah S;Wray NR;McRae AF;Franco OH;Hofman A;Uitterlinden AG;Absher D;Assimes T;Levine ME;Lu AT;Tsao PS;Hou L;Manson JE;Carty CL;LaCroix AZ;Reiner AP;Spector TD;Feinberg AP;Levy D;Baccarelli A;van Meurs J;Bell JT;Peters A;Deary IJ;Pankow JS;Ferrucci L;Horvath S
基于DNA甲基化模式的生物学年龄的估计，通常被称为“表观遗传年龄”、“DNAm年龄”，已被证明是人类年龄的稳健生物标志物。我们以前证明，独立的实足年龄，表观遗传年龄在血液中评估预测全因死亡率在四个人类队列。在这里，我们将最初的观察扩展到13个不同的队列，总样本量为13，089人，包括三个种族/民族。此外，我们还研究了将血细胞组成信息纳入表观遗传年龄指标是否会提高其对死亡率的预测能力。所有考虑的表观遗传年龄加速指标都能预测死亡率（p≤8.2×10−9），与实际年龄无关，即使调整了其他风险因素（p<5.4×10−4），并且在我们检查的种族/民族组（非西班牙裔白人，西班牙裔，非洲裔美国人）内。表观遗传年龄的估计，包括血细胞组成的信息导致最小的p值的死亡时间（p=7.5×10−43）。总的来说，这项研究a）加强了表观遗传年龄预测全因死亡率的证据，超过了实际年龄和传统的风险因素，B）证明了表观遗传年龄估计，包括血细胞计数的信息，导致全因死亡率的高度显着关联。
Estimates of biological age based on DNA methylation patterns, often referred to as “epigenetic age”, “DNAm age”, have been shown to be robust biomarkers of age in humans. We previously demonstrated that independent of chronological age, epigenetic age assessed in blood predicted all-cause mortality in four human cohorts. Here, we expanded our original observation to 13 different cohorts for a total sample size of 13,089 individuals, including three racial/ethnic groups. In addition, we examined whether incorporating information on blood cell composition into the epigenetic age metrics improves their predictive power for mortality. All considered measures of epigenetic age acceleration were predictive of mortality (p≤8.2×10−9), independent of chronological age, even after adjusting for additional risk factors (p<5.4×10−4), and within the racial/ethnic groups that we examined (non-Hispanic whites, Hispanics, African Americans). Epigenetic age estimates that incorporated information on blood cell composition led to the smallest p-values for time to death (p=7.5×10−43). Overall, this study a) strengthens the evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors, and b) demonstrates that epigenetic age estimates that incorporate information on blood cell counts lead to highly significant associations with all-cause mortality.
登录
查看更多内容
影响因子：
3.7
作者：
Bocklandt S;Lin W;Sehl ME;Sánchez FJ;Sinsheimer JS;Horvath S;Vilain E
通讯作者：
Vilain E
DOI：
10.1093/infdis/jiv277
发表时间：
2015-11-15
期刊：
The Journal of infectious diseases
影响因子：
--
作者：
Horvath S;Levine AJ
通讯作者：
Levine AJ
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
DOI：
10.18632/aging.100908
发表时间：
2016-02
期刊：
Aging
影响因子：
--
作者：
Lin Q;Weidner CI;Costa IG;Marioni RE;Ferreira MR;Deary IJ;Wagner W
通讯作者：
Wagner W
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