An epigenome-wide association study meta-analysis of educational attainment.
An epigenome-wide association study meta-analysis of educational attainment.
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DOI：
10.1038/mp.2017.210
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发表时间：
2017-12
影响因子：
11
通讯作者：
Benjamin DJ
中科院分区：
文献类型：
--
作者：
Karlsson Linnér R;Marioni RE;Rietveld CA;Simpkin AJ;Davies NM;Watanabe K;Armstrong NJ;Auro K;Baumbach C;Bonder MJ;Buchwald J;Fiorito G;Ismail K;Iurato S;Joensuu A;Karell P;Kasela S;Lahti J;McRae AF;Mandaviya PR;Seppälä I;Wang Y;Baglietto L;Binder EB;Harris SE;Hodge AM;Horvath S;Hurme M;Johannesson M;Latvala A;Mather KA;Medland SE;Metspalu A;Milani L;Milne RL;Pattie A;Pedersen NL;Peters A;Polidoro S;Räikkönen K;Severi G;Starr JM;Stolk L;Waldenberger M;Eriksson JG;Esko T;Franke L;Gieger C;Giles GG;Hägg S;Jousilahti P;Kaprio J;Kähönen M;Lehtimäki T;Martin NG;van Meurs JBC;Ollikainen M;Perola M;Posthuma D;Raitakari OT;Sachdev PS;Taskesen E;Uitterlinden AG;Vineis P;Wijmenga C;Wright MJ;Relton C;Davey Smith G;Deary IJ;Koellinger PD;Benjamin DJ
表观基因组与生物因素（如疾病状态）和环境因素（如吸烟、饮酒和体重指数）相关。尽管人们普遍认为环境对表观基因组的影响是普遍和深刻的，但迄今为止，在人类中几乎没有证据表明环境因素在生物学上是远端的。在这里，我们提供的证据表观遗传修饰之间的关联-在我们的情况下，CpG甲基化-和教育程度（EA），一个生物学上的远端环境因素，可以说是最重要的生活塑造经验的个人。具体来说，我们报告了基于27项队列研究（共10，767人）数据的EA表观全基因组关联研究荟萃分析的结果。我们发现9个CpG探针与EA显著相关。然而，稳健性分析表明，所有9个探针先前已被发现与吸烟有关。当我们在从不吸烟者的子集中进行敏感性分析时，只有2个关联仍然存在，并且已知这2个探针与妊娠期间母亲吸烟强烈相关，因此它们与EA的关联可能是由于EA和母亲吸烟之间的相关性。此外，与EA的关联的效应量远小于与生物学上接近的环境因素酒精消费，BMI，吸烟和母亲在怀孕期间吸烟的已知关联。后续分析，联合收割机的影响，许多探针也指出小甲基化协会与EA是高度相关的吸烟的综合影响。如果我们关于EA的发现可以推广到其他生物学上的远端环境因素，那么他们对这些因素对表观基因组有很大影响的假设提出了质疑。
The epigenome is associated with biological factors, such as disease status, and environmental factors, such as smoking, alcohol consumption, and body mass index. Although there is a widespread perception that environmental influences on the epigenome are pervasive and profound, there has been little evidence to date in humans with respect to environmental factors that are biologically distal. Here, we provide evidence on the associations between epigenetic modifications—in our case, CpG methylation—and educational attainment (EA), a biologically distal environmental factor that is arguably among the most important life-shaping experiences for individuals. Specifically, we report the results of an epigenome-wide association study meta-analysis of EA based on data from 27 cohort studies with a total of 10,767 individuals. We find 9 CpG probes significantly associated with EA. However, robustness analyses show that all 9 probes have previously been found to be associated with smoking. Only 2 associations remain when we perform a sensitivity analysis in the subset of never-smokers, and these 2 probes are known to be strongly associated with maternal smoking during pregnancy, and thus their association with EA could be due to correlation between EA and maternal smoking. Moreover, the effect sizes of the associations with EA are far smaller than the known associations with the biologically proximal environmental factors alcohol consumption, BMI, smoking and maternal smoking during pregnancy. Follow-up analyses that combine the effects of many probes also point to small methylation associations with EA that are highly correlated with the combined effects of smoking. If our findings regarding EA can be generalized to other biologically distal environmental factors, then they cast doubt on the hypothesis that such factors have large effects on the epigenome.
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影响因子：
5.6
作者：
Benjamin DJ;Cesarini D;Chabris CF;Glaeser EL;Laibson DI;Guðnason V;Harris TB;Launer LJ;Purcell S;Smith AV;Johannesson M;Magnusson PK;Beauchamp JP;Christakis NA;Atwood CS;Hebert B;Freese J;Hauser RM;Hauser TS;Grankvist A;Hultman CM;Lichtenstein P
通讯作者：
Lichtenstein P
影响因子：
3.1
作者：
Jones-Mason K;Allen IE;Bush N;Hamilton S
通讯作者：
Hamilton S
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：
12.3
作者：
Ligthart S;Marzi C;Aslibekyan S;Mendelson MM;Conneely KN;Tanaka T;Colicino E;Waite LL;Joehanes R;Guan W;Brody JA;Elks C;Marioni R;Jhun MA;Agha G;Bressler J;Ward-Caviness CK;Chen BH;Huan T;Bakulski K;Salfati EL;WHI-EMPC Investigators;Fiorito G;CHARGE epigenetics of Coronary Heart Disease;Wahl S;Schramm K;Sha J;Hernandez DG;Just AC;Smith JA;Sotoodehnia N;Pilling LC;Pankow JS;Tsao PS;Liu C;Zhao W;Guarrera S;Michopoulos VJ;Smith AK;Peters MJ;Melzer D;Vokonas P;Fornage M;Prokisch H;Bis JC;Chu AY;Herder C;Grallert H;Yao C;Shah S;McRae AF;Lin H;Horvath S;Fallin D;Hofman A;Wareham NJ;Wiggins KL;Feinberg AP;Starr JM;Visscher PM;Murabito JM;Kardia SL;Absher DM;Binder EB;Singleton AB;Bandinelli S;Peters A;Waldenberger M;Matullo G;Schwartz JD;Demerath EW;Uitterlinden AG;van Meurs JB;Franco OH;Chen YI;Levy D;Turner ST;Deary IJ;Ressler KJ;Dupuis J;Ferrucci L;Ong KK;Assimes TL;Boerwinkle E;Koenig W;Arnett DK;Baccarelli AA;Benjamin EJ;Dehghan A
通讯作者：
Dehghan A
影响因子：
9.8
作者：
Joubert, Bonnie R.;Felix, Janine F.;London, Stephanie J.
通讯作者：
London, Stephanie J.