The collaborative study on the genetics of alcoholism: Genetics

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-06-30 DOI:10.1111/gbb.12856
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
{"title":"The collaborative study on the genetics of alcoholism: Genetics","authors":"Emma C. Johnson,&nbsp;Jessica E. Salvatore,&nbsp;Dongbing Lai,&nbsp;Alison K. Merikangas,&nbsp;John I. Nurnberger,&nbsp;Jay A. Tischfield,&nbsp;Xiaoling Xuei,&nbsp;Chella Kamarajan,&nbsp;Leah Wetherill,&nbsp;COGA Collaborators,&nbsp;John P. Rice,&nbsp;John R. Kramer,&nbsp;Samuel Kuperman,&nbsp;Tatiana Foroud,&nbsp;Paul A. Slesinger,&nbsp;Alison M. Goate,&nbsp;Bernice Porjesz,&nbsp;Danielle M. Dick,&nbsp;Howard J. Edenberg,&nbsp;Arpana Agrawal","doi":"10.1111/gbb.12856","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e9/f4/GBB-22-e12856.PMC10550788.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/gbb.12856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 2

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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
关于酗酒遗传学的合作研究:遗传学。
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。
求助全文
约1分钟内获得全文 去求助
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
期刊最新文献
A Systematic Review of Sleep Disturbance in Idiopathic Intracranial Hypertension. Advancing Patient Education in Idiopathic Intracranial Hypertension: The Promise of Large Language Models. Anti-Myelin-Associated Glycoprotein Neuropathy: Recent Developments. Approach to Managing the Initial Presentation of Multiple Sclerosis: A Worldwide Practice Survey. Association Between LACE+ Index Risk Category and 90-Day Mortality After Stroke.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1