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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
Genotypeimputationof the human leukocyte antigen (HLA) region is a cost-effective means to infer classicalHLAalleles from inexpensive and dense SNP array data. In the research setting,imputationhelps avoid costs for wet lab-basedHLAtyping and thus renders association analyses of theHLAin large cohorts feasible. Yet, mostHLAimputationreferencepanels target Caucasian ethnicities andmulti-ethnicpanels are scarce. We compiled a high-qualitymulti-ethnicreferencepanelbased on genotypes measured with Illumina's Immunochip genotyping array andHLAtypes established using a high-resolution next generation sequencing approach. Ourreferencepanelincludes more than 1,300 samples from Germany, Malta, China, India, Iran, Japan and Korea and samples of African American ancestry for all classicalHLAclassI and II alleles includingHLA-DRB3/4/5. Applying extensive cross-validation, we benchmarked theimputationusing theHLAimputationtool HIBAG, ourmulti-ethnicreferenceand an independent, previously published data set compiled of subpopulations of the 1000 Genomes project. We achieved averageimputationaccuracies higher than 0.924 for the commonly studiedHLA-A, -B, -C, -DQB1 and -DRB1 genes across all ethnicities. We investigated allele-specificimputationchallenges in regard to geographic origin of the samples using sensitivity and specificity measurements as well as allele frequencies and identifiedHLAalleles that are challenging to impute for each of the populations separately. In conclusion, our newmulti-ethnicreferencedata set allows for high resolutionHLAimputationof genotypes at all classicalHLAclassI and II genes including theHLA-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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