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协作研究酒精中毒的遗传学:遗传学。

The collaborative study on the genetics of alcoholism: Genetics.

机构信息

Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.

Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA.

出版信息

Genes Brain Behav. 2023 Oct;22(5):e12856. doi: 10.1111/gbb.12856. Epub 2023 Jun 30.

Abstract

This review describes the genetic approaches and results from the family-based Collaborative Study on the Genetics of Alcoholism (COGA). COGA was designed during the linkage era to identify genes affecting the risk for alcohol use disorder (AUD) and related problems, and was among the first AUD-focused studies to subsequently adopt a genome-wide association (GWAS) approach. COGA's family-based structure, multimodal assessment with gold-standard clinical and neurophysiological data, and the availability of prospective longitudinal phenotyping continues to provide insights into the etiology of AUD and related disorders. These include investigations of genetic risk and trajectories of substance use and use disorders, phenome-wide association studies of loci of interest, and investigations of pleiotropy, social genomics, genetic nurture, and within-family comparisons. COGA is one of the few AUD genetics projects that includes a substantial number of participants of African ancestry. The sharing of data and biospecimens has been a cornerstone of the COGA project, and COGA is a key contributor to large-scale GWAS consortia. COGA's wealth of publicly available genetic and extensive phenotyping data continues to provide a unique and adaptable resource for our understanding of the genetic etiology of AUD and related traits.

摘要

本综述描述了基于家系的酒精使用障碍遗传学合作研究(COGA)的遗传方法和结果。COGA 是在连锁时代设计的,旨在确定影响酒精使用障碍(AUD)和相关问题风险的基因,并且是首批采用全基因组关联(GWAS)方法的 AUD 重点研究之一。COGA 的基于家系的结构、具有金标准临床和神经生理学数据的多模式评估,以及前瞻性纵向表型的可用性,继续为 AUD 和相关障碍的病因学提供了深入的了解。这些研究包括遗传风险和物质使用及使用障碍轨迹的研究、感兴趣的基因座的全基因组关联研究,以及多效性、社会基因组学、遗传养育和家系内比较的研究。COGA 是少数包含大量非洲裔参与者的 AUD 遗传学项目之一。数据和生物样本的共享是 COGA 项目的基石,COGA 也是大型全基因组关联研究联盟的主要贡献者。COGA 丰富的公开遗传数据和广泛的表型数据继续为我们理解 AUD 及相关特征的遗传病因提供了独特且适应性强的资源。

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