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ABSTRACT: Background
Testing gene-gene interaction in genome-wide association studies generally yields lower power than testing marginal association. Meta-analysis that combines different genotyping platforms is one method used to increase power when assessing gene-gene interactions, which requires a test for interaction on untyped SNPs. However, to date, formal statistical tests for gene-gene interaction on untyped SNPs have not been thoroughly addressed. The key concern for gene-gene interaction testing on untyped SNPs located on different chromosomes is that the pair of genes might not be independent and the current generation of imputation methods provides imputed genotypes at the marginal accuracy.Results
In this study we address this challenge and describe a novel method for te
SUBMITTER: Song M
PROVIDER: S-EPMC4506584 | biostudies-literature | 2015 Jul
REPOSITORIES: biostudies-literature