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Incorporation of covariates into genome scanning using sib‐pair analysis in bipolar affective disorder

Incorporation of covariates into genome scanning using sib‐pair analysis in bipolar affective... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Genetic Epidemiology Wiley

Incorporation of covariates into genome scanning using sib‐pair analysis in bipolar affective disorder

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Publisher
Wiley
Copyright
Copyright © 1997 Wiley‐Liss, Inc.
ISSN
0741-0395
eISSN
1098-2272
DOI
10.1002/(SICI)1098-2272(1997)14:6<635::AID-GEPI14>3.3.CO;2-R
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Genetic EpidemiologyWiley

Published: Jan 1, 1997

Keywords: allele sharing; heterogeneity; imprinting; linkage; parent of origin; regression

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