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Construction and Application of a Korean Reference Panel for Imputing Classical Alleles and Amino Acids of Human Leukocyte Antigen Genes

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2014

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Public Library of Science
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Kim, Kwangwoo, So-Young Bang, Hye-Soon Lee, and Sang-Cheol Bae. 2014. “Construction and Application of a Korean Reference Panel for Imputing Classical Alleles and Amino Acids of Human Leukocyte Antigen Genes.” PLoS ONE 9 (11): e112546. doi:10.1371/journal.pone.0112546. http://dx.doi.org/10.1371/journal.pone.0112546.

Abstract

Genetic variations of human leukocyte antigen (HLA) genes within the major histocompatibility complex (MHC) locus are strongly associated with disease susceptibility and prognosis for many diseases, including many autoimmune diseases. In this study, we developed a Korean HLA reference panel for imputing classical alleles and amino acid residues of several HLA genes. An HLA reference panel has potential for use in identifying and fine-mapping disease associations with the MHC locus in East Asian populations, including Koreans. A total of 413 unrelated Korean subjects were analyzed for single nucleotide polymorphisms (SNPs) at the MHC locus and six HLA genes, including HLA-A, -B, -C, -DRB1, -DPB1, and -DQB1. The HLA reference panel was constructed by phasing the 5,858 MHC SNPs, 233 classical HLA alleles, and 1,387 amino acid residue markers from 1,025 amino acid positions as binary variables. The imputation accuracy of the HLA reference panel was assessed by measuring concordance rates between imputed and genotyped alleles of the HLA genes from a subset of the study subjects and East Asian HapMap individuals. Average concordance rates were 95.6% and 91.1% at 2-digit and 4-digit allele resolutions, respectively. The imputation accuracy was minimally affected by SNP density of a test dataset for imputation. In conclusion, the Korean HLA reference panel we developed was highly suitable for imputing HLA alleles and amino acids from MHC SNPs in East Asians, including Koreans.

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Biology and Life Sciences, Computational Biology, Genome Analysis, Genome-Wide Association Studies, Genome Complexity, Evolutionary Biology, Population Genetics, Genetic Polymorphism, Genetics, Genomics, Human Genomics, Immunology, Clinical Immunology, Major Histocompatibility Complex, Population Biology, Physical Sciences, Mathematics, Statistics (Mathematics), Statistical Methods, Statistical Inference, Mathematical and Statistical Techniques

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