Hampton L Leonard
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摘要

简介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,并按数据来源(临床招募的病例对照队列与人群生物库)和一般欧洲血统与欧洲分离血统进行了分层。该研究包括 63,555 例病例、17,700 例有帕金森病家族史的替代病例和 1,746,386 例对照,是迄今为止规模最大的帕金森病遗传风险调查:对欧洲亚人群、病例对照研究和人群生物库分别使用标准的固定效应和随机效应模型进行了元分析。最后,我们在最终的跨欧洲荟萃分析中合并了所有研究类型的所有欧洲血统以及代理病例。我们估算了不同血统群体的遗传风险,调查了组织和细胞类型的富集情况,并利用公共数据对风险基因进行了优先排序,以促进功能性随访工作:最终的跨欧洲综合荟萃分析确定了134个风险基因位点(59个新位点),共有157个独立信号,极大地扩展了我们对帕金森病风险的了解。多组学数据整合显示,被提名的风险基因在脑组织中的表达高度富集,尤其是在神经元和星形胶质细胞类型中。此外,我们还在这 134 个基因位点中优先选择了 33 个高置信度基因进行未来的后续研究:通过整合不同的欧洲人群并利用全球帕金森病遗传学计划(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 个风险基因位点,将与帕金森病相关的已知基因位点数量增加了约 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疗工作,从而推动帕金森病的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Parkinson's Disease Genetic Risk Factors Within and Across European Populations.

Introduction: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

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