Estimating coverage and power for genetic association studies using near-complete variation data |
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Authors: | Bhangale Tushar R Rieder Mark J Nickerson Deborah A |
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Affiliation: | Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. |
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Abstract: | Although studies suggest that SNPs derived from HapMap provide promising coverage and power for association studies, the lack of alternative variation datasets limits independent analysis. Using near-complete variation data for 76 genes resequenced in HapMap samples, we find that coverage of common variation by commercial genotyping arrays is substantially lower compared to the HapMap-based estimates. We quantify the power offered by these arrays for a range of disease models. |
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