A new multipoint method for genome-wide association studies by imputation of genotypes
- PMID: 17572673
- DOI: 10.1038/ng2088
A new multipoint method for genome-wide association studies by imputation of genotypes
Abstract
Genome-wide association studies are set to become the method of choice for uncovering the genetic basis of human diseases. A central challenge in this area is the development of powerful multipoint methods that can detect causal variants that have not been directly genotyped. We propose a coherent analysis framework that treats the problem as one involving missing or uncertain genotypes. Central to our approach is a model-based imputation method for inferring genotypes at observed or unobserved SNPs, leading to improved power over existing methods for multipoint association mapping. Using real genome-wide association study data, we show that our approach (i) is accurate and well calibrated, (ii) provides detailed views of associated regions that facilitate follow-up studies and (iii) can be used to validate and correct data at genotyped markers. A notable future use of our method will be to boost power by combining data from genome-wide scans that use different SNP sets.
Comment in
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Conjuring SNPs to detect associations.Nat Genet. 2007 Jul;39(7):815-6. doi: 10.1038/ng0707-815. Nat Genet. 2007. PMID: 17597769 No abstract available.
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