Lee James J, Chow Carson C
Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA,
Hum Genet. 2014 Aug;133(8):1011-22. doi: 10.1007/s00439-014-1441-5. Epub 2014 Apr 18.
The heritability of a trait (h(2)) is the proportion of its population variance caused by genetic differences, and estimates of this parameter are important for interpreting the results of genome-wide association studies (GWAS). In recent years, researchers have adopted a novel method for estimating a lower bound on heritability directly from GWAS data that uses realized genetic similarities between nominally unrelated individuals. The quantity estimated by this method is purported to be the contribution to heritability that could in principle be recovered from association studies employing the given panel of SNPs (h(2)(SNP)). Thus far, the validity of this approach has mostly been tested empirically. Here, we provide a mathematical explication and show that the method should remain a robust means of obtaining h(2)(SNP)) under circumstances wider than those under which it has so far been derived.
一个性状的遗传力(h²)是其群体方差中由基因差异所导致的比例,对该参数的估计对于解释全基因组关联研究(GWAS)的结果很重要。近年来,研究人员采用了一种新方法,可直接从GWAS数据中估计遗传力的下限,该方法利用名义上不相关个体之间的实际遗传相似性。据称,通过这种方法估计的量是原则上可从使用给定SNP面板的关联研究中恢复的对遗传力的贡献(h²(SNP))。到目前为止,这种方法的有效性大多是通过实证检验的。在这里,我们给出一个数学解释,并表明该方法在比迄今为止推导它的情况更广泛的情形下,仍应是获得h²(SNP)的一种可靠方法。