Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium

Details Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium

2010-10-25

arxiv.org/abs/1010.5091v1

Statistical Science 2009, Vol. 24, No. 4, 503-516

Statistics

Methodology

Published in at http://dx.doi.org/10.1214/09-STS314 the Statistical Science (http://www.imstat.org/sts/) by the Institute of M

Scientific paper

10.1214/09-STS314

Under complete linkage disequilibrium (LD), robust tests often have greater power than Pearson's chi-square test and trend tests for the analysis of case-control genetic association studies. Robust statistics have been used in candidate-gene and genome-wide association studies (GWAS) when the genetic model is unknown. We consider here a more general incomplete LD model, and examine the impact of penetrances at the marker locus when the genetic models are defined at the disease locus. Robust statistics are then reviewed and their efficiency and robustness are compared through simulations in GWAS of 300,000 markers under the incomplete LD model. Applications of several robust tests to the Wellcome Trust Case-Control Consortium [Nature 447 (2007) 661--678] are presented.

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