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Literature DB >> 22697245

BLUP genotype imputation for case-control association testing with related individuals and missing data.

Abstract

We consider the problem of case-control association testing in samples that contain related individuals, where we assume the pedigree structure is known. Typically, for each marker tested, some individuals will have missing genotype data. The MQLS method has been proposed for association testing in this situation. We show that the MQLS method is equivalent to an approach in which missing genotypes are imputed using the best linear unbiased predictor (BLUP) based on relatives' genotype data. Viewed this way, the MQLS exactly corrects for the imputation error and for the extra correlation due to imputation. We also investigate the amount of additional power for detecting association that is provided by this BLUP imputation approach.

Mesh：

Year: 2012 PMID： 22697245 PMCID： PMC3375641 DOI： 10.1089/cmb.2012.0024

Source DB: PubMed Journal: J Comput Biol ISSN： 1066-5277 Impact factor: 1.479

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