Uhl George R, Drgon Tomas, Johnson Catherine, Li Chuan-Yun, Contoreggi Carlo, Hess Judith, Naiman Daniel, Liu Qing-Rong
Molecular Neurobiology Branch, National Institutes of Health (NIH), Intramural Research Program (IRP), National Institute on Drug Abuse (NIDA), Baltimore, MD 21224, USA.
Ann N Y Acad Sci. 2008 Oct;1141:318-81. doi: 10.1196/annals.1441.018.
Genome-wide association (GWA) can elucidate molecular genetic bases for human individual differences in complex phenotypes that include vulnerability to addiction. Here, we review (a) evidence that supports polygenic models with (at least) modest heterogeneity for the genetic architectures of addiction and several related phenotypes; (b) technical and ethical aspects of importance for understanding GWA data, including genotyping in individual samples versus DNA pools, analytic approaches, power estimation, and ethical issues in genotyping individuals with illegal behaviors; (c) the samples and the data that shape our current understanding of the molecular genetics of individual differences in vulnerability to substance dependence and related phenotypes; (d) overlaps between GWA data sets for dependence on different substances; and (e) overlaps between GWA data for addictions versus other heritable, brain-based phenotypes that include bipolar disorder, cognitive ability, frontal lobe brain volume, the ability to successfully quit smoking, neuroticism, and Alzheimer's disease. These convergent results identify potential targets for drugs that might modify addictions and play roles in these other phenotypes. They add to evidence that individual differences in the quality and quantity of brain connections make pleiotropic contributions to individual differences in vulnerability to addictions and to related brain disorders and phenotypes. A "connectivity constellation" of brain phenotypes and disorders appears to receive substantial pathogenic contributions from individual differences in a constellation of genes whose variants provide individual differences in the specification of brain connectivities during development and in adulthood. Heritable brain differences that underlie addiction vulnerability thus lie squarely in the midst of the repertoire of heritable brain differences that underlie vulnerability to other common brain disorders and phenotypes.
全基因组关联研究(GWA)能够阐明人类复杂表型个体差异的分子遗传基础,这些复杂表型包括成瘾易感性。在此,我们综述:(a)支持成瘾及几种相关表型的遗传结构具有(至少)适度异质性的多基因模型的证据;(b)对于理解GWA数据至关重要的技术和伦理方面,包括个体样本与DNA池的基因分型、分析方法、效能估计以及对有违法行为个体进行基因分型时的伦理问题;(c)塑造我们当前对物质依赖易感性个体差异及相关表型分子遗传学理解的样本和数据;(d)不同物质依赖的GWA数据集之间的重叠情况;以及(e)成瘾的GWA数据与其他基于大脑的可遗传表型(包括双相情感障碍、认知能力、额叶脑容量、成功戒烟能力、神经质和阿尔茨海默病)之间的重叠情况。这些趋同的结果确定了可能改变成瘾行为并在这些其他表型中起作用的药物的潜在靶点。它们进一步证明,大脑连接质量和数量的个体差异对成瘾易感性以及相关脑部疾病和表型的个体差异具有多效性贡献。大脑表型和疾病的“连接星座”似乎从一组基因的个体差异中获得了大量致病贡献,这些基因的变体在发育和成年期大脑连接的规范中提供了个体差异。因此,构成成瘾易感性基础的可遗传大脑差异正好处于构成其他常见脑部疾病和表型易感性基础的可遗传大脑差异范围内。