Estimating coverage and power for genetic association studies using near-complete variation data
Authors:
- Mark J RiederMRMark J Rieder
- Deborah A NickersonDNDeborah A Nickerson
- 22 June 2008
- journal article
- research article
- Published by Springer Nature in Nature Genetics
- Vol. 40 (7) , 841-843
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.Keywords
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