表达数量性状基因座
生物
全基因组关联研究
性二态性
数量性状位点
遗传关联
单核苷酸多态性
遗传学
特质
SNP公司
现象
基因
基因组
基因型
计算机科学
程序设计语言
内分泌学
作者
Eleonora Porcu,Annique Claringbould,Kaido Lepik,Tom G. Richardson,Federico Santoni,Lude Franke,Alexandre Reymond,Zoltán Kutalik
标识
DOI:10.1101/2020.04.15.042986
摘要
Abstract The genetic underpinning of sexual dimorphism is very poorly understood. The prevalence of many diseases differs between men and women, which could be in part caused by sex-specific genetic effects. Nevertheless, only a few published genome-wide association studies (GWAS) were performed separately in each sex. The reported enrichment of expression quantitative trait loci (eQTLs) among GWAS–associated SNPs suggests a potential role of sex-specific eQTLs in the sex-specific genetic mechanism underlying complex traits. To explore this scenario, we performed a genome-wide analysis of sex-specific whole blood RNA-seq eQTLs from 3,447 individuals. Among 9 million SNP-gene pairs showing sex-combined associations, we found 18 genes with significant sex-specific cis -eQTLs (FDR 5%). Our phenome-wide association study of the 18 top sex-specific eQTLs on >700 traits unraveled that these eQTLs do not systematically translate into detectable sex-specific trait-associations. Power analyses using real eQTL- and causal effect sizes showed that millions of samples would be necessary to observe sex-specific trait associations that are fully driven by sex-specific cis -eQTLs. Compensatory effects may further hamper their detection. In line with this observation, we confirmed that the sex-specific trait-associations detected so far are not driven by sex-specific cis -eQTLs.
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