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Abstract Details

Activity Number: 55
Type: Invited
Date/Time: Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
Sponsor: WNAR
Abstract - #303832
Title: A Chromosome-Centered Association Test for Case-Control Studies with Related Individuals
Author(s): Joshua Sampson*+ and Jianxin Shi and Peng Li and William Wheeler
Companies: National Cancer Institute and National Cancer Institute and National Cancer Institute and Information Management Services
Address: 6120 Executive Blvd, Rockville, MD, 20852,
Keywords: rare variants ; crave ; gwas ; IBD ; family-based test
Abstract:

Large Genome-Wide Association Studies (GWAS) of binary traits can include related individuals. GWAS may include families collected for linkage studies or recruit affected relatives of study participants when available. To augment power and protect against false positives, test statistics must account for the correlation between related individuals and the methods employed to identify and recruit families. The More Powerful Quasi-Likelihood Score Test (MQLS) offers a robust test statistic for identifying associations by regressing genotypes on affection status, while adjusting for the known correlation structure of the genotypes.

As modern bioinformatic techniques allow for the identification of allele-specific IBD, we leverage this information to introduce a Chromosome-centered Quasi-Likelihood Score Test (CQLS) statistic that offers improved power. This test regresses the genotypes of the founder chromosomes on the affected status of all family members carrying that chromosome. This test statistic maintains all advantages of the MQLS as it can handle families of arbitrary pedigrees and include phenotype data from ungenotyped relatives. Furthermore, the CQLS 1) Improves Power 2)


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