慢性疼痛
孟德尔随机化
遗传建筑学
表型
相关性
医学
大脑结构与功能
调解
遗传相关
遗传变异
生命银行
生物信息学
全基因组关联研究
神经科学
遗传关联
遗传模型
遗传变异
强度(物理)
慢性病
联想(心理学)
脑功能
脑形态计量学
作者
X. D. Wang,Jinyu Liu,Xichen Wang,Jin Yang,Yipeng Le,Yingchao Song,Qian Su,Xiaoxiao Xiao,Yifan Li,Wen Qin,Chunshui Yu,Ping Wang,Meng Liang
标识
DOI:10.1038/s41467-025-64904-y
摘要
Chronic pain represents a major clinical burden, with its intensity being a key measure of its severity. However, the genetic and neural underpinnings of chronic pain intensity remain unraveled. Here, we identified six genetic loci (including a novel discovery) significantly associated with chronic pain intensity using a genome-wide association study in the UK Biobank (n = 134,627). We then systematically investigate its relationship with 3924 brain imaging-derived phenotypes. Phenotypic correlation analyses revealed 29 imaging-derived phenotypes predictive of future chronic pain intensity. Genetic correlation and polygenic risk score analyses showed 13 of these imaging-derived phenotypes share a genetic basis with chronic pain intensity. Mediation analyses indicated that 12 imaging-derived phenotypes mediate genetic effects on chronic pain intensity. Mendelian randomization further supported a causal influence of three imaging-derived phenotypes, including brain structure and functional network connectivity, on chronic pain intensity. Our findings elucidate the genetic architecture and neurobiological pathways of chronic pain intensity, highlighting the brain's central role in chronic pain pathophysiology.
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