关于酗酒遗传学的合作研究:遗传学。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Emma C. Johnson, Jessica E. Salvatore, Dongbing Lai, Alison K. Merikangas, John I. Nurnberger, Jay A. Tischfield, Xiaoling Xuei, Chella Kamarajan, Leah Wetherill, COGA Collaborators, John P. Rice, John R. Kramer, Samuel Kuperman, Tatiana Foroud, Paul A. Slesinger, Alison M. Goate, Bernice Porjesz, Danielle M. Dick, Howard J. Edenberg, Arpana Agrawal
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引用次数: 2

摘要

这篇综述描述了基于家庭的酗酒遗传学合作研究(COGA)的遗传学方法和结果。COGA是在连锁时代设计的,旨在识别影响酒精使用障碍(AUD)风险和相关问题的基因,是首批采用全基因组关联(GWAS)方法的以AUD为重点的研究之一。COGA基于家族的结构、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和相关疾病的病因提供见解。其中包括对物质使用和使用障碍的遗传风险和轨迹的调查,感兴趣的基因座的现象范围的关联研究,以及对多效性、社会基因组学、遗传养育和家族内比较的调查。COGA是AUD为数不多的包括大量非洲血统参与者的遗传学项目之一。数据和生物样本的共享一直是COGA项目的基石,而COGA是大型GWAS联盟的关键贡献者。COGA丰富的公开遗传和广泛的表型数据继续为我们理解AUD的遗传病因和相关性状提供了独特和适应性的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The collaborative study on the genetics of alcoholism: Genetics

The collaborative study on the genetics of alcoholism: Genetics

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.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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