生物
索引
遗传学
结构变异
遗传关联
基因
全基因组关联研究
表达数量性状基因座
增强子
数量性状位点
调节顺序
人类基因组
单核苷酸多态性
基因组
计算生物学
基因表达调控
基因表达
基因型
作者
Colby Chiang,Alexandra J. Scott,Joe R. Davis,Emily K. Tsang,Xin Li,Yungil Kim,Tarik Hadžić,Farhan N. Damani,Liron Ganel,Stephen B. Montgomery,Alexis Battle,Donald F. Conrad,Ira M. Hall
出处
期刊:Nature Genetics
[Springer Nature]
日期:2017-04-03
卷期号:49 (5): 692-699
被引量:342
摘要
Ira Hall, Donald Conrad, the GTEx consortium and colleagues identify 23,602 high-confidence structural variants (SVs) and 24,884 cis expression quantitative trait loci (eQTLs) across 13 human tissues. They estimate that SVs are the causal variant at 3.5–6.8% of eQTLs and identify 789 SVs predicted to directly alter gene expression, most of which are noncoding variants in regulatory elements. Structural variants (SVs) are an important source of human genetic diversity, but their contribution to traits, disease and gene regulation remains unclear. We mapped cis expression quantitative trait loci (eQTLs) in 13 tissues via joint analysis of SVs, single-nucleotide variants (SNVs) and short insertion/deletion (indel) variants from deep whole-genome sequencing (WGS). We estimated that SVs are causal at 3.5–6.8% of eQTLs—a substantially higher fraction than prior estimates—and that expression-altering SVs have larger effect sizes than do SNVs and indels. We identified 789 putative causal SVs predicted to directly alter gene expression: most (88.3%) were noncoding variants enriched at enhancers and other regulatory elements, and 52 were linked to genome-wide association study loci. We observed a notable abundance of rare high-impact SVs associated with aberrant expression of nearby genes. These results suggest that comprehensive WGS-based SV analyses will increase the power of common- and rare-variant association studies.
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