Bivariate Quantitative Trait Linkage Analysis: Pleiotropy Versus
Co-Incident Linkages
Almasy L, Dyer TD, Blangero J
Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio,
Texas 78245-0549, USA.
Genetic Epidemiology, 14(6):953-958 (1997)
Abstract
Power to detect linkage and localization of a major gene were compared in univariate and
bivariate variance components linkage analysis of three related quantitative traits in
general pedigrees. Although both methods demonstrated adequate power to detect loci of
moderate effect, bivariate analysis improved both power and localization for correlated
quantitative traits mapping to the same chromosomal region, regardless of whether
co-localization was the result of pleiotropy. Additionally, a test of pleiotropy versus
co-incident linkage was shown to have adequate power and a low error rate.
Variance component linkage analysis