遗传建筑学
错误发现率
生物
表达数量性状基因座
遗传学
全基因组关联研究
数量性状位点
表型
帕金森病
等位基因
疾病
多重比较问题
基因
医学
基因型
病理
单核苷酸多态性
统计
数学
作者
Dongrui Ma,Shuangjie Li,Jingjing Shi,Yuanyuan Liang,Zheng‐wei Hu,Xiaoyan Hao,Meng‐jie Li,Meng-Nan Guo,Chun‐yan Zuo,Wen-Kai Yu,Cheng‐yuan Mao,Mibo Tang,Chan Zhang,Yuming Xu,Jun Wu,Shilei Sun,Changhe Shi
摘要
Abstract Background Patients with Parkinson's disease (PD) have consistently demonstrated brain structure abnormalities, indicating the presence of shared etiological and pathological processes between PD and brain structures; however, the genetic relationship remains poorly understood. Objective The aim of this study was to investigate the extent of shared genetic architecture between PD and brain structural phenotypes (BSPs) and to identify shared genomic loci. Methods We used the summary statistics from genome‐wide association studies to conduct MiXeR and conditional/conjunctional false discovery rate analyses to investigate the shared genetic signatures between PD and BSPs. Subsequent expression quantitative trait loci mapping in the human brain and enrichment analyses were also performed. Results MiXeR analysis identified genetic overlap between PD and various BSPs, including total cortical surface area, average cortical thickness, and specific brain volumetric structures. Further analysis using conditional false discovery rate (FDR) identified 21 novel PD risk loci on associations with BSPs at conditional FDR < 0.01, and the conjunctional FDR analysis demonstrated that PD shared several genomic loci with certain BSPs at conjunctional FDR < 0.05. Among the shared loci, 16 credible mapped genes showed high expression in the brain tissues and were primarily associated with immune function–related biological processes. Conclusions We confirmed the polygenic overlap with mixed directions of allelic effects between PD and BSPs and identified multiple shared genomic loci and risk genes, which are likely related to immune‐related biological processes. These findings provide insight into the complex genetic architecture associated with PD. © 2023 International Parkinson and Movement Disorder Society.
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