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基于汇总统计数据的四种主要神经退行性疾病的遗传相关性和基因多效性分析。

Genetic correlation and gene-based pleiotropy analysis for four major neurodegenerative diseases with summary statistics.

作者信息

Qiao Jiahao, Wang Ting, Shao Zhonghe, Zhu Yiyang, Zhang Meng, Huang Shuiping, Zeng Ping

机构信息

Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.

Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China; Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China; Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China; Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.

出版信息

Neurobiol Aging. 2023 Apr;124:117-128. doi: 10.1016/j.neurobiolaging.2022.12.012. Epub 2022 Dec 31.

Abstract

Recent genome-wide association studies suggested shared genetic components between neurodegenerative diseases. However, pleiotropic association patterns among them remain poorly understood. We here analyzed 4 major neurodegenerative diseases including Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS), and found suggestively positive genetic correlation. We next implemented a gene-centric pleiotropy analysis with a powerful method called PLACO and detected 280 pleiotropic associations (226 unique genes) with these diseases. Functional analyses demonstrated that these genes were enriched in the pancreas, liver, heart, blood, brain, and muscle tissues; and that 42 pleiotropic genes exhibited drug-gene interactions with 341 drugs. Using Mendelian randomization, we discovered that AD and PD can increase the risk of developing ALS, and that AD and ALS can also increase the risk of developing FTD, respectively. Overall, this study provides in-depth insights into shared genetic components and causal relationship among the 4 major neurodegenerative diseases, indicating genetic overlap and causality commonly drive their co-occurrence. It also has important implications on the etiology understanding, drug development and therapeutic targets for neurodegenerative diseases.

摘要

最近的全基因组关联研究表明神经退行性疾病之间存在共同的遗传成分。然而,它们之间的多效性关联模式仍知之甚少。我们在此分析了4种主要的神经退行性疾病,包括阿尔茨海默病(AD)、帕金森病(PD)、额颞叶痴呆(FTD)和肌萎缩侧索硬化症(ALS),并发现了提示性的正遗传相关性。接下来,我们使用一种名为PLACO的强大方法进行了以基因为中心的多效性分析,检测到与这些疾病相关的280个多效性关联(226个独特基因)。功能分析表明,这些基因在胰腺、肝脏、心脏、血液、大脑和肌肉组织中富集;并且42个多效性基因与341种药物表现出药物-基因相互作用。使用孟德尔随机化方法,我们发现AD和PD会增加患ALS的风险,并且AD和ALS也分别会增加患FTD的风险。总体而言,这项研究深入洞察了4种主要神经退行性疾病之间的共同遗传成分和因果关系,表明遗传重叠和因果关系通常驱动它们的共现。它对神经退行性疾病的病因理解、药物开发和治疗靶点也具有重要意义。

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