Leonard Hampton L
medRxiv. 2025 Mar 17:2025.03.14.24319455. doi: 10.1101/2025.03.14.24319455.
We conducted a meta-analysis of Parkinson's disease genome-wide association study summary statistics, stratified by source (clinically-recruited case-control cohorts versus population biobanks) and by general European versus European isolate ancestries. This study included 63,555 cases, 17,700 proxy cases with a family history of Parkinson's disease, and 1,746,386 controls, making it the largest investigation of Parkinson's disease genetic risk to date.
Meta-analyses were performed using standard fixed and random effect models for the European sub-populations, the case-control studies, and the population biobanks separately. Finally, all of the European ancestries for all study types as well as proxy cases were combined in our final cross-European meta-analysis. We estimated heritable risk across ancestry groups, investigated tissue and cell-type enrichment, and prioritized risk genes using public data to facilitate functional follow-up efforts.
The final combined cross-European meta-analysis identified 134 risk loci (59 novel), with a total of 157 independent signals, significantly expanding our understanding of Parkinson's disease risk. Multi-omic data integration revealed that expression of the nominated risk genes are highly enriched in brain tissues, particularly in neuronal and astrocyte cell types. Additionally, we prioritized 33 high-confidence genes across these 134 loci for future follow-up studies.
By integrating diverse European populations and leveraging harmonized data from the Global Parkinson's Genetics Program (GP2), we reveal new insight into the genetic architecture of Parkinson's disease. We identified a total of 134 risk loci, expanding the number of known loci associated with PD by approximately 24%. We also provided an initial layer of biological context to these results through follow-up analyses in an effort to facilitate follow-up studies and precision medicine efforts with the goal of advancing Parkinson's disease research.
我们对帕金森病全基因组关联研究的汇总统计数据进行了荟萃分析,按来源(临床招募的病例对照队列与人群生物样本库)以及一般欧洲人与欧洲孤立血统进行分层。本研究纳入了63555例病例、17700例有帕金森病家族史的替代病例以及1746386例对照,使其成为迄今为止对帕金森病遗传风险规模最大的调查。
分别对欧洲亚人群、病例对照研究和人群生物样本库使用标准固定效应模型和随机效应模型进行荟萃分析。最后,将所有研究类型以及替代病例的所有欧洲血统合并到我们最终的跨欧洲荟萃分析中。我们估计了不同血统群体的遗传风险,研究了组织和细胞类型富集情况,并利用公共数据对风险基因进行排序,以促进功能后续研究。
最终的跨欧洲综合荟萃分析确定了134个风险位点(59个为新发现),共有157个独立信号,显著扩展了我们对帕金森病风险的认识。多组学数据整合显示,提名的风险基因在脑组织中高度富集,尤其是在神经元和星形胶质细胞类型中。此外,我们在这134个位点中确定了33个高可信度基因,用于未来的后续研究。
通过整合不同的欧洲人群并利用全球帕金森病遗传学项目(GP2)的统一数据,我们揭示了帕金森病遗传结构的新见解。我们共确定了134个风险位点,使与帕金森病相关的已知位点数量增加了约24%。我们还通过后续分析为这些结果提供了初步的生物学背景,以促进后续研究和精准医学工作,目标是推动帕金森病研究。