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The collaborative study on the genetics of alcoholism: Sample and clinical data
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 environ...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550787/ https://www.ncbi.nlm.nih.gov/pubmed/37581339 http://dx.doi.org/10.1111/gbb.12860 |
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author | Dick, Danielle M. Balcke, Emily McCutcheon, Vivia Francis, Meredith Kuo, Sally Salvatore, Jessica Meyers, Jacquelyn Bierut, Laura J. Schuckit, Marc Hesselbrock, Victor Edenberg, Howard J. Porjesz, Bernice Kuperman, Samuel Kramer, John Bucholz, Kathleen |
author_facet | Dick, Danielle M. Balcke, Emily McCutcheon, Vivia Francis, Meredith Kuo, Sally Salvatore, Jessica Meyers, Jacquelyn Bierut, Laura J. Schuckit, Marc Hesselbrock, Victor Edenberg, Howard J. Porjesz, Bernice Kuperman, Samuel Kramer, John Bucholz, Kathleen |
author_sort | Dick, Danielle M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10550787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-105507872023-10-06 The collaborative study on the genetics of alcoholism: Sample and clinical data Dick, Danielle M. Balcke, Emily McCutcheon, Vivia Francis, Meredith Kuo, Sally Salvatore, Jessica Meyers, Jacquelyn Bierut, Laura J. Schuckit, Marc Hesselbrock, Victor Edenberg, Howard J. Porjesz, Bernice Kuperman, Samuel Kramer, John Bucholz, Kathleen Genes Brain Behav Review Articles 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. Blackwell Publishing Ltd 2023-08-15 /pmc/articles/PMC10550787/ /pubmed/37581339 http://dx.doi.org/10.1111/gbb.12860 Text en © 2023 The Authors. Genes, Brain and Behavior published by International Behavioural and Neural Genetics Society and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Articles Dick, Danielle M. Balcke, Emily McCutcheon, Vivia Francis, Meredith Kuo, Sally Salvatore, Jessica Meyers, Jacquelyn Bierut, Laura J. Schuckit, Marc Hesselbrock, Victor Edenberg, Howard J. Porjesz, Bernice Kuperman, Samuel Kramer, John Bucholz, Kathleen The collaborative study on the genetics of alcoholism: Sample and clinical data |
title | The collaborative study on the genetics of alcoholism: Sample and clinical data |
title_full | The collaborative study on the genetics of alcoholism: Sample and clinical data |
title_fullStr | The collaborative study on the genetics of alcoholism: Sample and clinical data |
title_full_unstemmed | The collaborative study on the genetics of alcoholism: Sample and clinical data |
title_short | The collaborative study on the genetics of alcoholism: Sample and clinical data |
title_sort | collaborative study on the genetics of alcoholism: sample and clinical data |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550787/ https://www.ncbi.nlm.nih.gov/pubmed/37581339 http://dx.doi.org/10.1111/gbb.12860 |
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