Joint multipoint linkage analysis of multivariate qualitative and quantitative traits. II. Alcoholism and event-related potentials

被引:157
作者
Williams, JT
Begleiter, H
Porjesz, B
Edenberg, HJ
Foroud, T
Reich, T
Goate, A
Van Eerdewegh, P
Almasy, L
Blangero, J
机构
[1] SW Fdn Biomed Res, Dept Genet, San Antonio, TX 78245 USA
[2] SUNY Hlth Sci Ctr, Dept Psychiat, Neurodynam Lab, Brooklyn, NY 11203 USA
[3] Indiana Univ, Sch Med, Dept Biochem & Mol Biol, Indianapolis, IN USA
[4] Indiana Univ, Sch Med, Dept Med Genet, Indianapolis, IN 46202 USA
[5] Washington Univ, Sch Med, Dept Psychiat, St Louis, MO 63110 USA
[6] Genome Therapeut Corp, Waltham, MA USA
基金
美国国家卫生研究院;
关键词
D O I
10.1086/302571
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The availability of robust quantitative biological markers that are correlated with qualitative psychiatric phenotypes can potentially improve the power of linkage methods to detect quantitative-trait loci influencing psychiatric disorders. We apply a variance-component method for joint multipoint linkage analysis of multivariate discrete and continuous traits to the extended pedigree data from the Collaborative Study on the Genetics of Alcoholism, in a bivariate analysis of qualitative alcoholism phenotypes and quantitative event-related potentials. Joint consideration of the DSM-IV diagnosis of alcoholism and the amplitude of the P300 component of the Ct event-related potential significantly increases the evidence for linkage of these traits to a chromosome 4 region near the class I alcohol dehydrogenase locus ADH3. A likelihood-ratio test for complete pleiotropy is significant, suggesting that the same quantitative-trait locus influences both risk of alcoholism and the amplitude of the P300 component.
引用
收藏
页码:1148 / 1160
页数:13
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