生物
全基因组关联研究
数量性状位点
表达数量性状基因座
遗传学
基因
遗传关联
表型
特质
计算生物学
遗传变异
遗传建筑学
遗传变异
错义突变
人类遗传学
基因表达调控
蛋白质-蛋白质相互作用
基因定位
生物途径
等位基因
进化生物学
基因表达
人类遗传变异
作者
J. Li,Yang I. Li,Xuanyao Liu
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2026-01-01
卷期号:58 (1): 77-87
被引量:6
标识
DOI:10.1038/s41588-025-02449-y
摘要
Most genetic variants influence complex traits by affecting gene regulation. Yet, despite comprehensive catalogs of molecular quantitative trait loci (QTLs), linking trait-associated variants to biological functions remains difficult. By re-analyzing large maps of protein QTLs (pQTLs), we found that genes with trans-pQTLs but no cis-pQTLs are under strong selective constraints and are particularly informative in interpreting genome-wide association study (GWAS) loci. We observed that trans-pQTLs and their target proteins are frequently involved in protein-protein interactions (PPIs). Notably, trans-pQTLs are enriched in missense variants and at PPI interfaces, suggesting a key role of PPIs in the trans-regulation of proteome. Using PPI annotations to guide trans-pQTL mapping, we identified 17,662 trans-pQTLs affecting 961 PPI clusters after accounting for blood cell composition effects. These trans-pQTLs colocalized with 36% GWAS loci per trait on average for 27 complex traits, helping in many cases to link GWAS loci to cellular function. Finally, we identified trans-pQTL effects at multiple autoimmune GWAS loci that converge to the same PPIs, pinpointing protein complexes and signaling pathways that show promising therapeutic target potential.
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