The collaborative study on the genetics of alcoholism: Brain function.
The collaborative study on the genetics of alcoholism: Brain function.
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DOI:
10.1111/gbb.12862
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发表时间:
2023-10
期刊:
影响因子:
--
通讯作者:
中科院分区:
文献类型:
--
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Alcohol use disorder (AUD) and related health conditions result from a complex interaction of genetic, neural and environmental factors, with differential impacts across the lifespan. From its inception, the Collaborative Study on the Genetics of Alcoholism (COGA) has focused on the importance of brain function as it relates to the risk and consequences of alcohol use and AUD, through the examination of noninvasively recorded brain electrical activity and neuropsychological tests. COGA's sophisticated neurophysiological and neuropsychological measures, together with rich longitudinal, multi‐modal family data, have allowed us to disentangle brain‐related risk and resilience factors from the consequences of prolonged and heavy alcohol use in the context of genomic and social‐environmental influences over the lifespan. COGA has led the field in identifying genetic variation associated with brain functioning, which has advanced the understanding of how genomic risk affects AUD and related disorders. To date, the COGA study has amassed brain function data on over 9871 participants, 7837 with data at more than one time point, and with notable diversity in terms of age (from 7 to 97), gender (52% female), and self‐reported race and ethnicity (28% Black, 9% Hispanic). These data are available to the research community through several mechanisms, including directly through the NIAAA, through dbGAP, and in collaboration with COGA investigators. In this review, we provide an overview of COGA's data collection methods and specific brain function measures assessed, and showcase the utility, significance, and contributions these data have made to our understanding of AUD and related disorders, highlighting COGA research findings. In this review, we provide an overview of the neurophysiological and neuropsychological measures that have been collected within the COGA sample. We also provide illustrative examples of how these data, in combination with the rich genetic and phenotypic longitudinal data available, have advanced our understanding of the etiology and consequences of alcohol use disorder and related disorders.
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DOI:
10.1002/ajmg.b.31136
发表时间:
2011-01
影响因子:
2.8
作者:
Zlojutro, Mark;Manz, Niklas;Rangaswamy, Madhavi;Xuei, Xiaoling;Flury-Wetherill, Leah;Koller, Daniel;Bierut, Laura J.;Goate, Alison;Hesselbrock, Victor;Kuperman, Samuel;Nurnberger, John, Jr.;Rice, John P.;Schuckit, Marc A.;Foroud, Tatiana;Edenberg, Howard J.;Porjesz, Bernice;Almasy, Laura
通讯作者:
Almasy, Laura
影响因子:
4.8
作者:
Smit DJA;Wright MJ;Meyers JL;Martin NG;Ho YYW;Malone SM;Zhang J;Burwell SJ;Chorlian DB;de Geus EJC;Denys D;Hansell NK;Hottenga JJ;McGue M;van Beijsterveldt CEM;Jahanshad N;Thompson PM;Whelan CD;Medland SE;Porjesz B;Lacono WG;Boomsma DI
通讯作者:
Boomsma DI
影响因子:
0.9
作者:
Benegal, V;Jain, S;Channabasavanna, SM
通讯作者:
Channabasavanna, SM
影响因子:
2.6
作者:
Chorlian DB;Rangaswamy M;Manz N;Wang JC;Dick D;Almasy L;Bauer L;Bucholz K;Foroud T;Hesselbrock V;Kang SJ;Kramer J;Kuperman S;Nurnberger J Jr;Rice J;Schuckit M;Tischfield J;Edenberg HJ;Goate A;Bierut L;Porjesz B
通讯作者:
Porjesz B
DOI:
10.1111/j.1530-0277.2010.01173.x
发表时间:
2010-06
期刊:
Alcoholism, clinical and experimental research
影响因子:
--
作者:
Chen AC;Manz N;Tang Y;Rangaswamy M;Almasy L;Kuperman S;Nurnberger J Jr;O'Connor SJ;Edenberg HJ;Schuckit MA;Tischfield J;Foroud T;Bierut LJ;Rohrbaugh J;Rice JP;Goate A;Hesselbrock V;Porjesz B
通讯作者:
Porjesz B