A high-resolution HLA imputation system for the Taiwanese population: a study of the Taiwan Biobank
An imputation algorithm for human leukocyte antigen ( HLA ) is helpful for exploring novel disease associations. However, population-specific HLA imputation references are essential for achieving high imputation accuracy. In this study, a subset of 1012 individuals from the Taiwan Biobank (TWB) who...
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Published in | The pharmacogenomics journal Vol. 20; no. 5; pp. 695 - 704 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.10.2020
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | An imputation algorithm for human leukocyte antigen (
HLA
) is helpful for exploring novel disease associations. However, population-specific
HLA
imputation references are essential for achieving high imputation accuracy. In this study, a subset of 1012 individuals from the Taiwan Biobank (TWB) who underwent both whole-genome SNP array and NGS-based
HLA
typing were used to establish Taiwanese
HLA
imputation references. The HIBAG package was used to generate the imputation references for eight
HLA
loci at a two- and three-field resolution. Internal validation was carried out to evaluate the call threshold and accuracy for each
HLA
gene.
HLA
class II genes found to be associated with rheumatoid arthritis (RA) were validated in this study by the imputed
HLA
alleles. Our Taiwanese population-specific references achieved average
HLA
imputation accuracies of 98.11% for two-field and 98.08% for three-field resolution. The frequency distribution of imputed
HLA
alleles among 23,972 TWB subjects were comparable with PCR-based
HLA
alleles in general Taiwanese reported in the allele frequency net database. We replicated four common
HLA
alleles (
HLA-DRB1*03:01
,
DRB1*04:05
,
DQA1*03:03
, and
DQB1*04:01
) significantly associated with RA. The population-specific references provide an informative tool to investigate the associations of
HLA
variants and human diseases in large-scale population-based studies. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Undefined-3 |
ISSN: | 1470-269X 1473-1150 1473-1150 |
DOI: | 10.1038/s41397-020-0156-3 |