The Collaborative Study on the Genetics of Alcoholism: Overview. Agrawal, A., Brislin, S., Bucholz, K., Dick, D., Hart, R., Johnson, E., Meyers, J., Salvatore, J., Slesinger, P., Liu, Y., Plawecki, M., Kamarajan, C., Pandey, A., Bierut, L., Rice, J., Schuckit, M., Scott, D., Bauer, L., Wetherill, L., Xuei, X., Lai, D., O'Connor, S., Chan, G., Chorlian, D., Zhang, J., Barr, P., Kinreich, S., Pandey, G., Mullins, N., Anokhin, A., Hartz, S., McCutcheon, V., Saccone, S., Moore, J., Aliev, F., Pang, Z., Kuo, S., Chin, H., Parsian, A., Almasy, L., Foroud, T., Goate, A., Hesselbrock, V., Kramer, J., Kuperman, S., Merikangas, A., Nurnberger, J., Tischfield, J., Edenberg, H., & Porjesz, B. Genes, Brain and Behavior, 2023.
The Collaborative Study on the Genetics of Alcoholism: Overview [link]Paper  doi  abstract   bibtex   
Alcohol use disorders (AUD) are commonly occurring, heritable and polygenic disorders with etiological origins in the brain and the environment. To outline the causes and consequences of alcohol-related milestones, including AUD, and their related psychiatric comorbidities, the Collaborative Study on the Genetics of Alcoholism (COGA) was launched in 1989 with a gene-brain-behavior framework. COGA is a family based, diverse (~25% self-identified African American, ~52% female) sample, including data on 17,878 individuals, ages 7–97 years, in 2246 families of which a proportion are densely affected for AUD. All participants responded to questionnaires (e.g., personality) and the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) which gathers information on psychiatric diagnoses, conditions and related behaviors (e.g., parental monitoring). In addition, 9871 individuals have brain function data from electroencephalogram (EEG) recordings while 12,009 individuals have been genotyped on genome-wide association study (GWAS) arrays. A series of functional genomics studies examine the specific cellular and molecular mechanisms underlying AUD. This overview provides the framework for the development of COGA as a scientific resource in the past three decades, with individual reviews providing in-depth descriptions of data on and discoveries from behavioral and clinical, brain function, genetic and functional genomics data. The value of COGA also resides in its data sharing policies, its efforts to communicate scientific findings to the broader community via a project website and its potential to nurture early career investigators and to generate independent research that has broadened the impact of gene-brain-behavior research into AUD.
@article{agrawal_collaborative_2023,
	title = {The {Collaborative} {Study} on the {Genetics} of {Alcoholism}: {Overview}},
	volume = {22},
	issn = {1601-183X},
	url = {https://www.embase.com/search/results?subaction=viewrecord&id=L2025533727&from=export},
	doi = {10.1111/gbb.12864},
	abstract = {Alcohol use disorders (AUD) are commonly occurring, heritable and polygenic disorders with etiological origins in the brain and the environment. To outline the causes and consequences of alcohol-related milestones, including AUD, and their related psychiatric comorbidities, the Collaborative Study on the Genetics of Alcoholism (COGA) was launched in 1989 with a gene-brain-behavior framework. COGA is a family based, diverse ({\textasciitilde}25\% self-identified African American, {\textasciitilde}52\% female) sample, including data on 17,878 individuals, ages 7–97 years, in 2246 families of which a proportion are densely affected for AUD. All participants responded to questionnaires (e.g., personality) and the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) which gathers information on psychiatric diagnoses, conditions and related behaviors (e.g., parental monitoring). In addition, 9871 individuals have brain function data from electroencephalogram (EEG) recordings while 12,009 individuals have been genotyped on genome-wide association study (GWAS) arrays. A series of functional genomics studies examine the specific cellular and molecular mechanisms underlying AUD. This overview provides the framework for the development of COGA as a scientific resource in the past three decades, with individual reviews providing in-depth descriptions of data on and discoveries from behavioral and clinical, brain function, genetic and functional genomics data. The value of COGA also resides in its data sharing policies, its efforts to communicate scientific findings to the broader community via a project website and its potential to nurture early career investigators and to generate independent research that has broadened the impact of gene-brain-behavior research into AUD.},
	language = {English},
	number = {5},
	journal = {Genes, Brain and Behavior},
	author = {Agrawal, A. and Brislin, S.J. and Bucholz, K.K. and Dick, D. and Hart, R.P. and Johnson, E.C. and Meyers, J. and Salvatore, J. and Slesinger, P. and Liu, Y. and Plawecki, M.H. and Kamarajan, C. and Pandey, A. and Bierut, L. and Rice, J. and Schuckit, M. and Scott, D. and Bauer, L. and Wetherill, L. and Xuei, X. and Lai, D. and O'Connor, S. and Chan, G. and Chorlian, D.B. and Zhang, J. and Barr, P. and Kinreich, S. and Pandey, G. and Mullins, N. and Anokhin, A. and Hartz, S. and McCutcheon, V. and Saccone, S. and Moore, J. and Aliev, F. and Pang, Z. and Kuo, S. and Chin, H. and Parsian, A. and Almasy, L. and Foroud, T. and Goate, A. and Hesselbrock, V. and Kramer, J. and Kuperman, S. and Merikangas, A.K. and Nurnberger, J.I. and Tischfield, J. and Edenberg, H.J. and Porjesz, B.},
	year = {2023},
	keywords = {African American, DSM-5, DSM-III-R, DSM-IV, alcoholism, brain function, electroencephalography, event related potential, follow up, functional genomics, genetic risk, genome-wide association study, genotype, human, interview, nonhuman, oscillation, population research, prevalence, prospective study, relapse, remission, review},
}
Downloads: 0
About
Documentation
Keywords
Search
Users
Terms and Conditions of Use
Privacy Policy
Sitemap
© BibBase.org 2021