生物
RNA剪接
选择性拼接
遗传学
连锁不平衡
等位基因
遗传关联
外显子
内含子
单核苷酸多态性
计算生物学
遗传变异
拼接因子
基因亚型
外显子剪接增强剂
剪接
作者
Kofi Amoah,Yun-Hua Esther Hsiao,Jae Hoon Bahn,Yiwei Sun,Christina P. Burghard,Boon Xin Tan,Ei-Wen Yang,Xinshu Xiao
出处
期刊:Genome Research
[Cold Spring Harbor Laboratory Press]
日期:2021-01-15
被引量:4
标识
DOI:10.1101/gr.265637.120
摘要
Alternative splicing is an RNA processing mechanism that affects most genes in human, contributing to disease mechanisms and phenotypic diversity. The regulation of splicing involves an intricate network of cis-regulatory elements and trans-acting factors. Due to their high sequence specificity, cis-regulation of splicing can be altered by genetic variants, significantly affecting splicing outcomes. Recently, multiple methods have been applied to understanding the regulatory effects of genetic variants on splicing. However, it is still challenging to go beyond apparent association to pinpoint functional variants. To fill in this gap, we utilized large-scale data sets of the Genotype-Tissue Expression (GTEx) project to study genetically modulated alternative splicing (GMAS) via identification of allele-specific splicing events. We demonstrate that GMAS events are shared across tissues and individuals more often than expected by chance, consistent with their genetically driven nature. Moreover, although the allelic bias of GMAS exons varies across samples, the degree of variation is similar across tissues versus individuals. Thus, genetic background drives the GMAS pattern to a similar degree as tissue-specific splicing mechanisms. Leveraging the genetically driven nature of GMAS, we developed a new method to predict functional splicing-altering variants, built upon a genotype-phenotype concordance model across samples. Complemented by experimental validations, this method predicted >1000 functional variants, many of which may alter RNA-protein interactions. Lastly, 72% of GMAS-associated SNPs were in linkage disequilibrium with GWAS-reported SNPs, and such association was enriched in tissues of relevance for specific traits/diseases. Our study enables a comprehensive view of genetically driven splicing variations in human tissues.
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