Psychometric and Genetic Architecture of Substance Use Disorder and Behavioral Disinhibition Measures for Gene Association Studies

被引:82
作者
Hicks, Brian M. [1 ]
Schalet, Benjamin D. [2 ]
Malone, Stephen M. [3 ]
Iacono, William G. [3 ]
McGue, Matt [3 ]
机构
[1] Univ Michigan, Dept Psychiat, Ann Arbor, MI 48105 USA
[2] Northwestern Univ, Dept Psychol, Evanston, IL USA
[3] Univ Minnesota, Dept Psychol, Minneapolis, MN 55455 USA
关键词
Substance use disorders; Antisocial behavior; Externalizing; Measurement; Gene association; Twin studies; Adoption studies; NATIONAL EPIDEMIOLOGIC SURVEY; ADOLESCENT PROBLEM BEHAVIOR; ENVIRONMENTAL-INFLUENCES; ANTISOCIAL-BEHAVIOR; EXTERNALIZING PSYCHOPATHOLOGY; P300; AMPLITUDE; UNITED-STATES; DRUG-USE; POTENTIAL AMPLITUDE; ALCOHOL DEPENDENCE;
D O I
10.1007/s10519-010-9417-2
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
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.
引用
收藏
页码:459 / 475
页数:17
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