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Construction and Benchmarking of a Multi-Ethnic Reference Panel for the Imputation of Hla Class I and Ii Alleles Publisher Pubmed



Degenhardt F1 ; Wendorff M1 ; Wittig M1 ; Ellinghaus E2 ; Datta LW3 ; Schembri J4 ; Ng SC5 ; Rosati E1 ; Hubenthal M1 ; Ellinghaus D1 ; Jung ES1, 6 ; Lieb W7 ; Abedian S8, 9 ; Malekzadeh R9 Show All Authors
Authors
  1. Degenhardt F1
  2. Wendorff M1
  3. Wittig M1
  4. Ellinghaus E2
  5. Datta LW3
  6. Schembri J4
  7. Ng SC5
  8. Rosati E1
  9. Hubenthal M1
  10. Ellinghaus D1
  11. Jung ES1, 6
  12. Lieb W7
  13. Abedian S8, 9
  14. Malekzadeh R9
  15. Cheon JH6
  16. Ellul P4
  17. Sood A10
  18. Midha V10, 11
  19. Thelma BK12
  20. Wong SH5
  21. Schreiber S1, 13
  22. Yamazaki K14, 15
  23. Kubo M16
  24. Boucher G17
  25. Rioux JD17, 18
  26. Lenz TL19
  27. Brant SR3, 20, 21
  28. Franke A1
Show Affiliations
Authors Affiliations
  1. 1. Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Rosalind-Franklin-Street 12, Kiel, D-24105, Germany
  2. 2. K.G. Jebsen Inflammation Research Centre, Institute of Clinical Medicine, University of Oslo, Oslo University Hospital, Rikshospitalet, Oslo, Norway
  3. 3. Department of Medicine, Meyerhoff Inflammatory Bowel Disease Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States
  4. 4. Division of Gastroenterology, Mater Dei Hospital, Msida MSD, Malta
  5. 5. Department of Medicine and Therapeutics, Institute of Digestive Disease, LKS Institute of Health Science, State Key Laboratory of Digestive Disease, Chinese University of Hong Kong, Hong Kong, Hong Kong
  6. 6. Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, South Korea
  7. 7. Biobank PopGen and Institute of Epidemiology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
  8. 8. Department of Epidemiology, University Medical Center Groningen, RB Groningen, Netherlands
  9. 9. Digestive Disease Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
  10. 10. Department of Gastroenterology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
  11. 11. Department of Medicine, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
  12. 12. Department of Genetics, University of Delhi South Campus, New Delhi, India
  13. 13. Department of Medicine, Christian-Albrechts-University of Kiel, Kiel, Germany
  14. 14. Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN Yokohama Institute, Yokohama, Japan
  15. 15. Division of Genomic Epidemiology and Clinical Trials, Clinical Trials Research Center, Nihon University School of Medicine, Tokyo, Japan
  16. 16. RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
  17. 17. Montreal Heart Institute, Research Center, Montreal, QC, Canada
  18. 18. Universite de Montreal Department of Medicine, Montreal, QC, Canada
  19. 19. Research Group for Evolutionary Immunogenomics, Max Planck Institute for Evolutionary Biology, Plon, Germany
  20. 20. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
  21. 21. Department of Medicine, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, United States

Source: Human Molecular Genetics Published: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 reference panels 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. © 2018 The Author(s) 2018.