生物
表达数量性状基因座
全基因组关联研究
遗传学
数量性状位点
增强子
遗传关联
基因组
计算生物学
人口
基因
基因型
基因表达
单核苷酸多态性
人口学
社会学
作者
Shohei Kojima,Satoshi Koyama,Mirei Ka,Yuka Saito,Erica H. Parrish,Mikiko Endo,Sadaaki Takata,Misaki Mizukoshi,Keiko Hikino,Atsushi Takeda,Asami F. Gelinas,Steven M. Heaton,Rie Koide,Anselmo Jiro Kamada,Michiya Noguchi,Michiaki Hamada,Koichi Matsuda,Yuji Yamanashi,Yoichi Furukawa,Takayuki Morisaki
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2023-05-11
卷期号:55 (6): 939-951
被引量:21
标识
DOI:10.1038/s41588-023-01390-2
摘要
Mobile genetic elements (MEs) are heritable mutagens that recursively generate structural variants (SVs). ME variants (MEVs) are difficult to genotype and integrate in statistical genetics, obscuring their impact on genome diversification and traits. We developed a tool that accurately genotypes MEVs using short-read whole-genome sequencing (WGS) and applied it to global human populations. We find unexpected population-specific MEV differences, including an Alu insertion distribution distinguishing Japanese from other populations. Integrating MEVs with expression quantitative trait loci (eQTL) maps shows that MEV classes regulate tissue-specific gene expression by shared mechanisms, including creating or attenuating enhancers and recruiting post-transcriptional regulators, supporting class-wide interpretability. MEVs more often associate with gene expression changes than SNVs, thus plausibly impacting traits. Performing genome-wide association study (GWAS) with MEVs pinpoints potential causes of disease risk, including a LINE-1 insertion associated with keloid and fasciitis. This work implicates MEVs as drivers of human divergence and disease risk.
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