The collaborative study on the genetics of alcoholism: Sample and clinical data

Danielle M Dick; Emily Balcke; Vivia McCutcheon; Meredith Francis; Sally Kuo; Jessica Salvatore; Jacquelyn Meyers; Laura J Bierut; Marc Schuckit; Victor Hesselbrock; Howard J Edenberg; Bernice Porjesz; Samuel Kuperman; John Kramer; Kathleen Bucholz; Collaborative study on the genetics of alcoholism  (COGA) Collaborators

doi:10.1111/gbb.12860

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The collaborative study on the genetics of alcoholism: Sample and clinical data

Journal article

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The collaborative study on the genetics of alcoholism: Sample and clinical data

Danielle M Dick, Emily Balcke, Vivia McCutcheon, Meredith Francis, Sally Kuo, Jessica Salvatore, Jacquelyn Meyers, Laura J Bierut, Marc Schuckit, Victor Hesselbrock, …

Genes, brain and behavior, Vol.22(5), e12860

10/2023

DOI: 10.1111/gbb.12860

PMCID: PMC10550787

PMID: 37581339

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Abstract

The collaborative study on the genetics of alcoholism (COGA) is a multi-site, multidisciplinary project with the goal of identifying how genes are involved in alcohol use disorder and related outcomes, and characterizing how genetic risk unfolds across development and in conjunction with the environment and brain function. COGA is a multi-generational family-based study in which probands were recruited through alcohol treatment centers, along with a set of community comparison families. Nearly 18,000 individuals from >2200 families have been assessed over a period of over 30 years with a rich phenotypic battery that includes semi-structured psychiatric interviews and questionnaire measures, along with DNA collection and electrophysiological data on a large subset. Participants range in age from 7 to 97, with many having longitudinal assessments, providing a valuable opportunity to study alcohol use and problems across the lifespan. Here we provide an overview of data collection methods for the COGA sample, and details about sample characteristics and comorbidity. We also review key research findings that have emerged from analyses of the COGA data. COGA data are available broadly to researchers, and we hope this overview will encourage further collaboration and use of these data to advance the field.

Comorbidity

Genetics

alcohol

development

environment

lifespan

drug

Details

Title: Subtitle: The collaborative study on the genetics of alcoholism: Sample and clinical data
Creators: Danielle M Dick - Rutgers, The State University of New Jersey
Emily Balcke - Rutgers, The State University of New Jersey
Vivia McCutcheon - Washington University in St. Louis
Meredith Francis - Virginia Commonwealth University
Sally Kuo - Rutgers, The State University of New Jersey
Jessica Salvatore - Rutgers, The State University of New Jersey
Jacquelyn Meyers - SUNY Downstate Health Sciences University
Laura J Bierut - Washington University in St. Louis
Marc Schuckit - University of California San Diego
Victor Hesselbrock - University of Connecticut
Howard J Edenberg - Indiana University – Purdue University Indianapolis
Bernice Porjesz - SUNY Downstate Health Sciences University
Samuel Kuperman - University of Iowa
John Kramer - University of Iowa
Kathleen Bucholz - Washington University in St. Louis
Collaborative study on the genetics of alcoholism (COGA) Collaborators
Resource Type: Journal article
Publication Details: Genes, brain and behavior, Vol.22(5), e12860
DOI: 10.1111/gbb.12860
PMID: 37581339
PMCID: PMC10550787
NLM abbreviation: Genes Brain Behav
eISSN: 1601-183X
Grant note: U10AA008401 / NIAAA NIH HHS
Language: English
Electronic publication date: 08/15/2023
Date published: 10/2023
Academic Unit: Psychiatry
Record Identifier: 9984455490602771

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