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Robust tests in genome-wide scans under incomplete linkage disequilibrium. (English) Zbl 1329.62440
Summary: 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 [“Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls”, Nature 447, 661–678 (2007)] are presented.

MSC:
62P10 Applications of statistics to biology and medical sciences; meta analysis
62G10 Nonparametric hypothesis testing
92D10 Genetics and epigenetics
62G35 Nonparametric robustness
Software:
Rassoc
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