Meta-analysis of the heritability of human traits based on fifty years of twin studies

被引:1392
作者
Polderman, Tinca J. C. [1 ]
Benyamin, Beben [2 ]
de Leeuw, Christiaan A. [1 ,3 ]
Sullivan, Patrick F. [4 ,5 ,6 ]
van Bochoven, Arjen [7 ]
Visscher, Peter M. [2 ,8 ]
Posthuma, Danielle [1 ,9 ]
机构
[1] Vrije Univ Amsterdam, Dept Complex Trait Genet, Ctr Neurogen & Cognit Res, Amsterdam, Netherlands
[2] Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia
[3] Radboud Univ Nijmegen, Inst Comp & Informat Sci, NL-6525 ED Nijmegen, Netherlands
[4] Univ N Carolina, Dept Genet, Ctr Psychiat Genom, Chapel Hill, NC USA
[5] Univ N Carolina, Dept Psychiat, Chapel Hill, NC USA
[6] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
[7] Vrije Univ Amsterdam, Fac Sci, Amsterdam, Netherlands
[8] Univ Queensland, Diamantina Inst, Translat Res Inst, Brisbane, Qld, Australia
[9] Vrije Univ Amsterdam, Med Ctr, Dept Clin Genet, Amsterdam, Netherlands
基金
英国医学研究理事会; 澳大利亚研究理事会;
关键词
MISSING HERITABILITY; EPISTASIS;
D O I
10.1038/ng.3285
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Despite a century of research on complex traits in humans, the relative importance and specific nature of the influences of genes and environment on human traits remain controversial. We report a meta-analysis of twin correlations and reported variance components for 17,804 traits from 2,748 publications including 14,558,903 partly dependent twin pairs, virtually all published twin studies of complex traits. Estimates of heritability cluster strongly within functional domains, and across all traits the reported heritability is 49%. For a majority (69%) of traits, the observed twin correlations are consistent with a simple and parsimonious model where twin resemblance is solely due to additive genetic variation. The data are inconsistent with substantial influences from shared environment or non-additive genetic variation. This study provides the most comprehensive analysis of the causes of individual differences in human traits thus far and will guide future gene-mapping efforts. All the results can be visualized using the MaTCH webtool.
引用
收藏
页码:702 / +
页数:11
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