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Incorporation of covariates into genome scanning using sib‐pair analysis in bipolar affective disorder
Author(s) -
Greenwood Celia M.T.,
Bull Shelley B.
Publication year - 1997
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/(sici)1098-2272(1997)14:6<635::aid-gepi14>3.0.co;2-r
Subject(s) - covariate , linkage (software) , genetics , genome scan , genetic linkage , chromosome , set (abstract data type) , biology , allele , statistics , bipolar disorder , data set , computational biology , mathematics , computer science , gene , microsatellite , cognition , neuroscience , programming language
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. © 1997 Wiley‐Liss, Inc.