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:
Genes, brain, and behavior
影响因子:
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通讯作者:
--
中科院分区:
其他
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酒精使用障碍 (AUD) 和相关健康状况是遗传、神经和环境因素复杂相互作用的结果,在整个生命周期中产生不同的影响。从一开始,酒精中毒遗传学合作研究 (COGA) 就通过检查无创记录的脑电活动和神经心理学测试,重点关注大脑功能的重要性,因为它与饮酒和 AUD 的风险和后果有关。 COGA 复杂的神经生理学和神经心理学测量,加上丰富的纵向、多模式家庭数据,使我们能够在基因组和社会环境对生命周期的影响的背景下,将与大脑相关的风险和恢复力因素与长期大量饮酒的后果分开。 COGA 在识别与大脑功能相关的遗传变异方面处于领先地位,这增进了对基因组风险如何影响 AUD 和相关疾病的理解。迄今为止,COGA 研究已收集了超过 9871 名参与者的大脑功能数据,其中 7837 名参与者的数据来自多个时间点,并且在年龄(从 7 岁到 97 岁)、性别(52% 女性)以及自我报告的种族和民族(28% 黑人,9% 西班牙裔)方面存在显着差异。这些数据可通过多种机制提供给研究界,包括直接通过 NIAAA、通过 dbGAP 以及与 COGA 研究人员合作。在这篇综述中,我们概述了 COGA 的数据收集方法和评估的具体大脑功能测量,并展示了这些数据对我们理解 AUD 和相关疾病的实用性、重要性和贡献,强调了 COGA 研究结果。在这篇综述中,我们概述了 COGA 样本中收集的神经生理学和神经心理学测量。我们还提供了说明性示例,说明这些数据如何与丰富的遗传和表型纵向数据相结合,促进了我们对酒精使用障碍和相关疾病的病因和后果的理解。
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.
DOI: 10.1002/ajmg.b.31136
发表时间: 2011-01
影响因子: 2.8
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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
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DOI: 10.1097/00041444-199524000-00001
发表时间: 1995-12-01
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发表时间: 2013-09
期刊: Behavior genetics
影响因子: 2.6
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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
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发表时间: 2010-06
期刊: Alcoholism, clinical and experimental research
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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