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

Genetic Epidemiology
C M Greenwood, S B Bull

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.

References

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Citations

Dec 22, 1999·Genetic Epidemiology·S SchmidtH Bickeböller
Dec 22, 1999·Genetic Epidemiology·C M GreenwoodK Morgan
Apr 7, 2005·Human Heredity·Thomas G Schulze, Francis J McMahon
Jun 15, 2007·Human Heredity·Daniel J SchaidStephen N Thibodeau
Sep 22, 2005·American Journal of Human Genetics·Ping-I LinPeter P Zandi
Dec 1, 1999·American Journal of Human Genetics·J M Olson
Mar 3, 1999·American Journal of Human Genetics·C M Greenwood, S B Bull
Jan 5, 2002·Genetic Epidemiology·Bernie DevlinKathryn Roeder
Jun 24, 2004·American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics·Shirley Y HillWilliam Allan
May 4, 2006·Genetic Epidemiology·Alice S Whittemore, Jerry Halpern
Jan 17, 2002·Genetic Epidemiology·N L SacconeJ P Rice

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