Incorporation of covariates into genome scanning using sib-pair analysis in bipolar affective disorder.
Assessing heterogeneity in affected relative pair linkage analysis can help control type I error or identify important subgroups. We develop a method to incorporate covariates into sib-pair analysis, and hence are able to test for covariate effects on allele sharing in sib pairs. We propose a way of combining the five bipolar data sets to do a joint analysis of chromosome 18 data using this new method. Our results from a limited set of analyses do not show significant heterogeneity, and do not confirm the linkage previously identified on chromosome 18.
Greenwood
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CM
Preventive Medicine and Biostatistics, University of Toronto, Ontario, Canada.
Bull
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SB
D000465:Algorithms; D001714:Bipolar Disorder / Q000235:genetics*; D002887:Chromosomes, Human, Pair 18; D005260:Female; D018740:Genetic Heterogeneity; D008040:Genetic Linkage; D005820:Genetic Testing / Q000379:methods*; D016678:Genome; D006801:Humans; D016013:Likelihood Functions; D008126:Lod Score; D008297:Male; D016555:Matched-Pair Analysis; D009679:Nuclear Family