Human leucocyte antigen class I and II imputation in a multiracial population.

ABSTRACT: Human leucocyte antigen (HLA) genes play a central role in response to pathogens and in autoimmunity. Research to understand the effects of HLA genes on health has been limited because HLA genotyping protocols are labour intensive and expensive. Recently, algorithms to impute HLA genotype data using genome-wide association study (GWAS) data have been published. However, imputation accuracy for most of these algorithms was based primarily on training data sets of European ancestry individuals. We considered performance of two HLA-dedicated imputation algorithms - SNP2HLA and HIBAG - in a multiracial population of n = 1587 women with HLA genotyping data by gold standard methods. We first compared accuracy - defined as the percentage of correctly predicted alleles - of HLA-B and HLA-C imputat

SUBMITTER: Kuniholm MH 

PROVIDER: S-EPMC5118156 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature