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物质使用障碍和行为抑制测量的心理计量学和遗传结构,以及基因关联研究的行为抑制测量。

Psychometric and genetic architecture of substance use disorder and behavioral disinhibition measures for gene association studies.

机构信息

Department of Psychiatry, University of Michigan, Ann Arbor, MI 48105, USA.

出版信息

Behav Genet. 2011 Jul;41(4):459-75. doi: 10.1007/s10519-010-9417-2. Epub 2010 Dec 12.

DOI:10.1007/s10519-010-9417-2
PMID:21153693
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3123412/
Abstract

Using large twin, family, and adoption studies conducted at the Minnesota Center for Twin and Family Research, we describe our efforts to develop measures of substance use disorder (SUD) related phenotypes for targets in genome wide association analyses. Beginning with a diverse set of relatively narrow facet-level measures, we identified 5 constructs of intermediate complexity: nicotine, alcohol consumption, alcohol dependence, illicit drug, and behavioral disinhibition. The 5 constructs were moderately correlated (mean r = .57) reflecting a general externalizing liability to substance abuse and antisocial behavior. Analyses of the twin and adoption data revealed that this general externalizing liability accounted for much of the genetic risk in each of the intermediate-level constructs, though each also exhibited significant unique genetic and environmental risk. Additional analyses revealed substantial effects for age and sex, significant shared environmental effects, and that the mechanism of these shared environmental effects operates via siblings rather than parents. Our results provide a foundation for genome wide association analyses to detect risk alleles for SUDs as well as novel insights into genetic and environmental risk for SUDs.

摘要

利用在明尼苏达双胞胎和家庭研究中心进行的大型双胞胎、家庭和领养研究,我们描述了我们为全基因组关联分析中的目标开发物质使用障碍(SUD)相关表型测量的努力。从一组多样化的相对狭窄的方面测量开始,我们确定了 5 个具有中等复杂性的结构:尼古丁、酒精消费、酒精依赖、非法药物和行为抑制。这 5 个结构具有中度相关性(平均 r=0.57),反映了对物质滥用和反社会行为的一般外在倾向。对双胞胎和领养数据的分析表明,这种一般的外在倾向解释了中间水平结构中每种结构的大部分遗传风险,但每种结构也表现出显著的独特遗传和环境风险。进一步的分析揭示了年龄和性别的重要影响、显著的共同环境影响,以及这些共同环境影响的机制是通过兄弟姐妹而不是父母来运作的。我们的研究结果为全基因组关联分析检测 SUD 风险等位基因以及 SUD 的遗传和环境风险提供了基础,并提供了新的见解。