Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA.
Nature. 2013 Feb 14;494(7436):234-7. doi: 10.1038/nature11867. Epub 2013 Feb 3.
For many traits, including susceptibility to common diseases in humans, causal loci uncovered by genetic-mapping studies explain only a minority of the heritable contribution to trait variation. Multiple explanations for this 'missing heritability' have been proposed. Here we use a large cross between two yeast strains to accurately estimate different sources of heritable variation for 46 quantitative traits, and to detect underlying loci with high statistical power. We find that the detected loci explain nearly the entire additive contribution to heritable variation for the traits studied. We also show that the contribution to heritability of gene-gene interactions varies among traits, from near zero to approximately 50 per cent. Detected two-locus interactions explain only a minority of this contribution. These results substantially advance our understanding of the missing heritability problem and have important implications for future studies of complex and quantitative traits.
对于许多特征,包括人类常见疾病的易感性,遗传图谱研究发现的因果位点仅能解释特征变异中可遗传贡献的一小部分。对于这种“遗传缺失”提出了多种解释。在这里,我们使用两个酵母菌株的大规模杂交来准确估计 46 个定量特征的可遗传变异的不同来源,并以高统计能力检测潜在的基因座。我们发现,检测到的基因座几乎可以解释所研究特征的可遗传变异的全部加性贡献。我们还表明,基因-基因相互作用对遗传的贡献在不同特征之间有所不同,从接近零到约 50%。检测到的双基因相互作用仅能解释这一贡献的一小部分。这些结果大大提高了我们对遗传缺失问题的理解,对复杂和定量特征的未来研究具有重要意义。