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Construction and benchmarking of a multi-ethnic reference panel for the imputation of HLA class I and II alleles

Authors
 Frauke Degenhardt  ;  Mareike Wendorff  ;  Michael Wittig  ;  Eva Ellinghaus  ;  Lisa W. Datta  ;  John Schembri  ;  Siew C. Ng  ;  Elisa Rosati  ;  Matthias Hübenthal  ;  David Ellinghaus  ;  Eun Suk Jung  ;  Wolfgang Lieb  ;  Shifteh Abedian  ;  Reza Malekzadeh  ;  Jae Hee Cheon  ;  Pierre Ellul  ;  Ajit Sood  ;  Vandana Midha  ;  B.K. Thelma  ;  Sunny H. Wong  ;  Stefan Schreiber  ;  Keiko Yamazaki  ;  Michiaki Kubo  ;  Gabrielle Boucher  ;  John D. Rioux  ;  Tobias L. Lenz  ;  Steven R. Brant  ;  Andre Franke 
Citation
 Human Molecular Genetics, Vol.28(12) : 2078-2092, 2019 
Journal Title
 Human Molecular Genetics 
ISSN
 0964-6906 
Issue Date
2019
Abstract
Genotype imputation of the human leukocyte antigen (HLA) region is a cost-effective means to infer classical HLA alleles from inexpensive and dense SNP array data. In the research setting, imputation helps avoid costs for wet lab-based HLA typing and thus renders association analyses of the HLA in large cohorts feasible. Yet, most HLA imputation referencepanels target Caucasian ethnicities and multi-ethnic panels are scarce. We compiled a high-quality multi-ethnic reference panel based on genotypes measured with Illumina's Immunochip genotyping array and HLA types established using a high-resolution next generation sequencing approach. Our reference panel includes more than 1,300 samples from Germany, Malta, China, India, Iran, Japan and Korea and samples of African American ancestry for all classical HLA class I and II alleles including HLA-DRB3/4/5. Applying extensive cross-validation, we benchmarked the imputation using the HLA imputation tool HIBAG, our multi-ethnic reference and an independent, previously published data set compiled of subpopulations of the 1000 Genomes project. We achieved average imputation accuracies higher than 0.924 for the commonly studied HLA-A, -B, -C, -DQB1 and -DRB1 genes across all ethnicities. We investigated allele-specific imputation challenges in regard to geographic origin of the samples using sensitivity and specificity measurements as well as allele frequencies and identified HLA alleles that are challenging to impute for each of the populations separately. In conclusion, our new multi-ethnic reference data set allows for high resolution HLA imputation of genotypes at all classical HLA class I and II genes including the HLA-DRB3/4/5 loci based on diverse ancestry populations.
Files in This Item:
T201902074.pdf Download
DOI
10.1093/hmg/ddy443
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Jung, Eun Suk(정은석)
Cheon, Jae Hee(천재희) ORCID logo https://orcid.org/0000-0002-2282-8904
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/170313
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