An atlas of alternative polyadenylation quantitative trait loci contributing to complex trait and disease heritability

被引:0
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作者
Lei Li
Kai-Lieh Huang
Yipeng Gao
Ya Cui
Gao Wang
Nathan D. Elrod
Yumei Li
Yiling Elaine Chen
Ping Ji
Fanglue Peng
William K. Russell
Eric J. Wagner
Wei Li
机构
[1] University of California,Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine
[2] Irvine,Department of Biochemistry and Molecular Biology
[3] University of Texas Medical Branch,Graduate Program in Quantitative and Computational Biosciences
[4] Baylor College of Medicine,The Gertrude H. Sergievsky Center and Department of Neurology
[5] Columbia University,Department of Statistics
[6] University of California,Department of Molecular and Cellular Biology
[7] Baylor College of Medicine,undefined
来源
Nature Genetics | 2021年 / 53卷
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摘要
Genome-wide association studies have identified thousands of noncoding variants associated with human traits and diseases. However, the functional interpretation of these variants is a major challenge. Here, we constructed a multi-tissue atlas of human 3′UTR alternative polyadenylation (APA) quantitative trait loci (3′aQTLs), containing approximately 0.4 million common genetic variants associated with the APA of target genes, identified in 46 tissues isolated from 467 individuals (Genotype-Tissue Expression Project). Mechanistically, 3′aQTLs can alter poly(A) motifs, RNA secondary structure and RNA-binding protein–binding sites, leading to thousands of APA changes. Our CRISPR-based experiments indicate that such 3′aQTLs can alter APA regulation. Furthermore, we demonstrate that mapping 3′aQTLs can identify APA regulators, such as La-related protein 4. Finally, 3′aQTLs are colocalized with approximately 16.1% of trait-associated variants and are largely distinct from other QTLs, such as expression QTLs. Together, our findings show that 3′aQTLs contribute substantially to the molecular mechanisms underlying human complex traits and diseases.
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页码:994 / 1005
页数:11
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