评估酒精使用障碍的遗传风险。

IF 6.8 1区 医学 Q1 SUBSTANCE ABUSE Alcohol Research : Current Reviews Pub Date : 2012-01-01
Tatiana Foroud, Tamara J Phillips
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引用次数: 0

摘要

过去二十年来,遗传学领域发生了一场革命,导致用于绘制导致酒精依赖等遗传复杂疾病的基因的工具和技术迅速发展。对人类和人类疾病动物模型的研究提供了重要的新信息。在人类研究中最常用的方法是家庭研究、病例对照研究和全基因组关联研究。动物模型的目的是利用诸如数量性状位点分析、基因组测序、基因敲除动物和其他复杂的分子遗传技术等方法,确定与酒精中毒不同方面有关的遗传区域或单个基因。所有这些方法都确定了几个似乎影响酒精依赖风险的基因,这些基因正在进一步分析。然而,较新的研究也试图在整个基因组水平上研究酒精中毒的遗传基础,超越对个体基因的研究,转向分析这种毁灭性疾病发展过程中的基因相互作用和基因网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Assessing the genetic risk for alcohol use disorders.

The past two decades have witnessed a revolution in the field of genetics which has led to a rapid evolution in the tools and techniques available for mapping genes that contribute to genetically complex disorders such as alcohol dependence. Research in humans and in animal models of human disease has provided important new information. Among the most commonly applied approaches used in human studies are family studies, case-control studies, and genome-wide association studies. Animal models have been aimed at identifying genetic regions or individual genes involved in different aspects of alcoholism, using such approaches as quantitative trait locus analysis, genome sequencing, knockout animals, and other sophisticated molecular genetic techniques. All of these approaches have led to the identification of several genes that seem to influence the risk for alcohol dependence, which are being further analyzed. Newer studies, however, also are attempting to look at the genetic basis of alcoholism at the level of the entire genome, moving beyond the study of individual genes toward analyses of gene interactions and gene networks in the development of this devastating disease.

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期刊介绍: Alcohol Research: Current Reviews (ARCR) is an open-access, peer-reviewed journal published by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) at the National Institutes of Health. Starting from 2020, ARCR follows a continuous, rolling publication model, releasing one virtual issue per yearly volume. The journal offers free online access to its articles without subscription or pay-per-view fees. Readers can explore the content of the current volume, and past volumes are accessible in the journal's archive. ARCR's content, including previous titles, is indexed in PubMed, PsycINFO, Scopus, and Web of Science.
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