Common SNPs explain a large proportion of the heritability for human height

被引:2954
作者
Yang, Jian [1 ]
Benyamin, Beben [1 ]
McEvoy, Brian P. [1 ]
Gordon, Scott [1 ]
Henders, Anjali K. [1 ]
Nyholt, Dale R. [1 ]
Madden, Pamela A. [2 ]
Heath, Andrew C. [2 ]
Martin, Nicholas G. [1 ]
Montgomery, Grant W. [1 ]
Goddard, Michael E. [3 ]
Visscher, Peter M. [1 ]
机构
[1] Queensland Inst Med Res, Brisbane, Qld 4006, Australia
[2] Washington Univ, Dept Psychiat, St Louis, MO USA
[3] Univ Melbourne, Dept Food & Agr Syst, Parkville, Vic 3052, Australia
基金
美国国家卫生研究院; 澳大利亚研究理事会; 英国医学研究理事会;
关键词
GENOME-WIDE ASSOCIATION; MISSING HERITABILITY; ARTIFICIAL SELECTION; COMPLEX DISEASES; TRAITS; LOCI; POPULATIONS; PREDICTION;
D O I
10.1038/ng.608
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
SNPs discovered by genome-wide association studies (GWASs) account for only a small fraction of the genetic variation of complex traits in human populations. Where is the remaining heritability? We estimated the proportion of variance for human height explained by 294,831 SNPs genotyped on 3,925 unrelated individuals using a linear model analysis, and validated the estimation method with simulations based on the observed genotype data. We show that 45% of variance can be explained by considering all SNPs simultaneously. Thus, most of the heritability is not missing but has not previously been detected because the individual effects are too small to pass stringent significance tests. We provide evidence that the remaining heritability is due to incomplete linkage disequilibrium between causal variants and genotyped SNPs, exacerbated by causal variants having lower minor allele frequency than the SNPs explored to date.
引用
收藏
页码:565 / U131
页数:7
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