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Joint linkage and association analysis for identification of potentially causal polymorphisms in GAW15 data

Lookup NU author(s): Dr Joanna Biernacka, Professor Heather Cordell

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Abstract

In a small chromosomal region, a number of polymorphisms may be both linked to and associated with a disease. Potentially directly associated causal loci may be distinguished from indirectly associated loci by determining which associations can explain the observed linkage signal. We apply methods for testing whether association with a particular polymorphism or haplotype can explain an observed linkage signal to the Genetic Analysis Workshop 15 simulated (Problem 3) data, to try to identify potentially causal polymorphisms. We compare the power of several methods for testing the null hypothesis that association with a particular variant can explain the observed linkage signal, and discuss scenarios under which the various methods may be advantageous.

Publication metadata

Author(s): Biernacka J, Cordell HJ, Charoen P

Publication type: Article

Publication status: Published

Journal: BMC Proceedings

Year: 2007

Volume: 1

Issue: Suppl. 1

Print publication date: 18/12/2007

Date deposited: 04/01/2008

ISSN (electronic): 1753-6561

Publisher: BioMed Central

URL: http://www.biomedcentral.com/1753-6561/1/S1/S36

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