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Genetic analysis of personality traits and alcoholism using a mixed discrete continuous trait variance component model
Author(s) -
Czerwinski Stefan A.,
Mahaney Michael C.,
Williams Jeff T.,
Almasy Laura,
Blangero John
Publication year - 1999
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370170721
Subject(s) - trait , bivariate analysis , novelty seeking , correlation , quantitative trait locus , big five personality traits , linkage (software) , personality , psychology , canonical correlation , genetic correlation , novelty , genetics , statistics , biology , mathematics , genetic variation , gene , social psychology , computer science , geometry , programming language
Bivariate analyses can improve power to detect linkage. This paper describes one application of a bivariate variance component method for estimating joint likelihoods of a continuous and a discrete trait. This method is applied to the Collaborative Study on the Genetics of Alcoholism data set to investigate the relationship between personality traits derived from the tridimensional personality questionnaire (TPQ) and alcoholism. The results indicate that the novelty‐seeking subscale of the TPQ and alcoholism share a strong and significant genetic correlation (ρ G = 0.83) and modest environmental correlation (ρ E = 0.31). When both traits are considered jointly in a multipoint linkage model compared with the alcoholism trait alone, there is an improvement in the ability to detect and localize a quantitative trait locus on chromosome 4.