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连锁不平衡回归估计遗传率而不受环境偏差影响。

Relatedness disequilibrium regression estimates heritability without environmental bias.

机构信息

deCODE genetics/Amgen Inc., Reykjavik, Iceland.

Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.

出版信息

Nat Genet. 2018 Sep;50(9):1304-1310. doi: 10.1038/s41588-018-0178-9. Epub 2018 Aug 13.

Abstract

Heritability measures the proportion of trait variation that is due to genetic inheritance. Measurement of heritability is important in the nature-versus-nurture debate. However, existing estimates of heritability may be biased by environmental effects. Here, we introduce relatedness disequilibrium regression (RDR), a novel method for estimating heritability. RDR avoids most sources of environmental bias by exploiting variation in relatedness due to random Mendelian segregation. We used a sample of 54,888 Icelanders who had both parents genotyped to estimate the heritability of 14 traits, including height (55.4%, s.e. 4.4%) and educational attainment (17.0%, s.e. 9.4%). Our results suggest that some other estimates of heritability may be inflated by environmental effects.

摘要

遗传力衡量的是性状变异中归因于遗传继承的比例。遗传力的测量在先天与后天的争论中很重要。然而,现有的遗传力估计可能受到环境影响的偏差。在这里,我们引入了相关不平衡回归(RDR),这是一种估计遗传力的新方法。RDR 通过利用由于随机孟德尔分离导致的相关性变化来避免大多数环境偏差。我们使用了一个包含 54888 名冰岛人的样本,这些人都有父母的基因型,以估计 14 种特征的遗传力,包括身高(55.4%,标准误 4.4%)和教育程度(17.0%,标准误 9.4%)。我们的结果表明,一些其他遗传力的估计可能因环境影响而偏高。

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