Nat Genet. 2008 Jul;40(7):841-3. Epub 2008 Jun 22.

Estimating coverage and power for genetic association studies using near-complete variation data.

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Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.

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.

PMID:: 18568023; [PubMed - indexed for MEDLINE]

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Estimating coverage and power for genetic association studies using near-complete variation data.

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