遗传力
遗传建筑学
生物
遗传学
遗传力缺失问题
外显子组
全基因组关联研究
外显子组测序
遗传关联
遗传变异
基因
等位基因
等位基因频率
连锁不平衡
进化生物学
数量性状位点
表型
单核苷酸多态性
单倍型
基因型
作者
Daniel J. Weiner,Ajay Nadig,Karthik A. Jagadeesh,Kushal K. Dey,Benjamin M. Neale,Elise Robinson,Konrad J. Karczewski,Luke J. O’Connor
出处
期刊:Nature
[Springer Nature]
日期:2023-02-08
卷期号:614 (7948): 492-499
被引量:75
标识
DOI:10.1038/s41586-022-05684-z
摘要
Both common and rare genetic variants influence complex traits and common diseases. Genome-wide association studies have identified thousands of common-variant associations, and more recently, large-scale exome sequencing studies have identified rare-variant associations in hundreds of genes1–3. However, rare-variant genetic architecture is not well characterized, and the relationship between common-variant and rare-variant architecture is unclear4. Here we quantify the heritability explained by the gene-wise burden of rare coding variants across 22 common traits and diseases in 394,783 UK Biobank exomes5. Rare coding variants (allele frequency < 1 × 10−3) explain 1.3% (s.e. = 0.03%) of phenotypic variance on average—much less than common variants—and most burden heritability is explained by ultrarare loss-of-function variants (allele frequency < 1 × 10−5). Common and rare variants implicate the same cell types, with similar enrichments, and they have pleiotropic effects on the same pairs of traits, with similar genetic correlations. They partially colocalize at individual genes and loci, but not to the same extent: burden heritability is strongly concentrated in significant genes, while common-variant heritability is more polygenic, and burden heritability is also more strongly concentrated in constrained genes. Finally, we find that burden heritability for schizophrenia and bipolar disorder6,7 is approximately 2%. Our results indicate that rare coding variants will implicate a tractable number of large-effect genes, that common and rare associations are mechanistically convergent, and that rare coding variants will contribute only modestly to missing heritability and population risk stratification. An analysis of rare coding variants across 22 common traits and diseases indicates that these variants will contribute substantially to biological insights but modestly to population risk stratification.
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