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Brief Communication
Nature Genetics 40, 841–843 (1 July 2008) | doi:10.1038/ng.180
Estimating coverage and power for genetic association studies using near-complete variation data
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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.
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