11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Performance of an allele‐level multi‐locus HLA genotype imputation tool in hematopoietic stem cell donors from Quebec

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          Donor‐recipient HLA compatibility is an important determinant of transplant outcomes. Allele‐group to allele‐level imputations help assign HLA genotypes when allele‐level genotypes are not available during donor selection.

          Methods

          We evaluated the performance of HaploStats, an allele‐level multi‐locus HLA genotype imputation tool from the National Marrow Donor Program, in a cross‐sectional study including hematopoietic stem cell donors (HSCD) from Quebec, Canada. A total of 144 self‐identified Caucasian HSCD genotyped at the allele‐group and allele‐level for HLA‐A, ‐B, ‐C, ‐DRB1, and ‐DQB1 loci were studied. We compared allele‐level genotypes imputed by HaploStats to those obtained by the reference standard, sequenced‐based typing (SBT).

          Results

          Imputation performance, determined by allele‐level genotype recall (fraction of matching imputed and sequenced genotypes) was 97%, 96%, 95%, 84%, and 81% for HLA‐A, ‐B, ‐C, ‐DRB1, and ‐DQB1 loci, respectively. Our sample deviated from Hardy‐Weinberg equilibrium only at the HLA‐DRB1 locus. Residual ambiguity, determined by typing resolution scores (TRS), was greatest for HLA class II loci (average TRS 0.65 and 0.80 for DRB1 and DQB1, respectively). In contrast, average TRS of 0.88, 0.84, and 0.92 was observed for HLA‐A, ‐B, and ‐C, respectively.

          Conclusions

          HLA allele imputation from ambiguous genotypes demonstrate satisfactory prediction accuracy for HLA class I but modest prediction accuracy for HLA class II loci in self‐identified Caucasian HSCD from Quebec. While consideration of high‐resolution allele and haplotype frequencies in the Quebec population may improve the performance of available allele‐level multi‐locus genotype imputation tools in Quebec, this study suggests that genotyping at the first two field level should be conducted whenever possible.

          Related collections

          Most cited references27

          • Record: found
          • Abstract: found
          • Article: not found

          Whole-genome patterns of common DNA variation in three human populations.

          D A Hinds (2005)
          Individual differences in DNA sequence are the genetic basis of human variability. We have characterized whole-genome patterns of common human DNA variation by genotyping 1,586,383 single-nucleotide polymorphisms (SNPs) in 71 Americans of European, African, and Asian ancestry. Our results indicate that these SNPs capture most common genetic variation as a result of linkage disequilibrium, the correlation among common SNP alleles. We observe a strong correlation between extended regions of linkage disequilibrium and functional genomic elements. Our data provide a tool for exploring many questions that remain regarding the causal role of common human DNA variation in complex human traits and for investigating the nature of genetic variation within and between human populations.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found
            Is Open Access

            Six-locus high resolution HLA haplotype frequencies derived from mixed-resolution DNA typing for the entire US donor registry.

            We have calculated six-locus high resolution HLA A∼C∼B∼DRB3/4/5∼DRB1∼DQB1 haplotype frequencies using all Be The Match(®) Registry volunteer donors typed by DNA methods at recruitment. Mixed resolution HLA typing data was inputted to a modified expectation-maximization (EM) algorithm in the form of genotype lists generated by interpretation of primary genomic typing data to the IMGT/HLA v3.4.0 allele list. The full cohort consists of 6.59 million subjects categorized at a broad race level. Overall 25.8% of the individuals were typed at the C locus, and 5.2% typed at the DQB1 locus, while all individuals were typed for A, B, DRB1. We also present a subset of 2.90 million subjects with detailed race/ethnic information mapped to 21 population subgroups, 64.1% of which have primary DNA typing data across at least A, B, and DRB1 loci. Sample sizes at the detailed race level range from 1,242,890 for European Caucasian to 1,376 Alaskan Native or Aleut. Genetic distance measurements show high levels of HLA genetic divergence among the 21 detailed race categories, especially among the eight Asian-American populations. These haplotype frequencies will be used to improve match predictions for donor selection algorithms for hematopoietic stem cell transplantation and improve the accuracy in modeling registry match rates. Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Class II HLA epitope matching-A strategy to minimize de novo donor-specific antibody development and improve outcomes.

              De novo donor-specific antibody (dnDSA) develops in 15-25% of renal transplant recipients within 5 years of transplantation and is associated with 40% lower graft survival at 10 years. HLA epitope matching is a novel strategy that may minimize dnDSA development. HLAMatchmaker software was used to characterize epitope mismatches at 395 potential HLA-DR/DQ/DP conformational epitopes for 286 donor-recipient pairs. Epitope specificities were assigned using single antigen HLA bead analysis and correlated with known monoclonal alloantibody epitope targets. Locus-specific epitope mismatches were more numerous in patients who developed HLA-DR dnDSA alone (21.4 vs. 13.2, p < 0.02) or HLA-DQ dnDSA alone (27.5 vs. 17.3, p < 0.001). An optimal threshold for epitope mismatches (10 for HLA-DR, 17 for HLA-DQ) was defined that was associated with minimal development of Class II dnDSA. Applying these thresholds, zero and 2.7% of patients developed dnDSA against HLA-DR and HLA-DQ, respectively, after a median of 6.9 years. Epitope specificity analysis revealed that 3 HLA-DR and 3 HLA-DQ epitopes were independent multivariate predictors of Class II dnDSA. HLA-DR and DQ epitope matching outperforms traditional low-resolution antigen-based matching and has the potential to minimize the risk of de novo Class II DSA development, thereby improving long-term graft outcome.
                Bookmark

                Author and article information

                Contributors
                ruth.sapir-pichhadze@mcgill.ca
                Journal
                Immun Inflamm Dis
                Immun Inflamm Dis
                10.1002/(ISSN)2050-4527
                IID3
                Immunity, Inflammation and Disease
                John Wiley and Sons Inc. (Hoboken )
                2050-4527
                25 August 2017
                December 2017
                : 5
                : 4 ( doiID: 10.1002/iid3.2017.5.issue-4 )
                : 551-559
                Affiliations
                [ 1 ] Research Institute McGill University Health Centre Montreal Quebec Canada
                [ 2 ] Histocompatibility Laboratory Division of Hematology Department of Medicine McGill University Montreal Quebec Canada
                [ 3 ] Department of Mathematics Université du Québec À Montréal Montreal Quebec Canada
                [ 4 ] Héma‐Quebec Saint‐Laurent Quebec Canada
                [ 5 ] Division of Nephrology Department of Medicine McGill University Montreal Quebec Canada
                [ 6 ] Centre for Outcomes Research and Evaluation (CORE) McGill University Health Centre Montreal Quebec Canada
                [ 7 ] Department of Epidemiology, Biostatistics and Occupational Health McGill University Montreal Quebec Canada
                Author notes
                [*] [* ] Correspondence

                Ruth Sapir‐Pichhadze, Division of Nephrology and Multi‐Organ Transplant Program, Department of Medicine, McGill University, Centre for Outcomes Research & Evaluation, Research Institute of the McGill University Health Centre, 5252 Boul de Maisonneuve, Office 3E.13, Montréal, QC H4A 3S5, Canada. Tel: +1‐514‐934‐1934 ext. 35403; Fax: +1‐514‐843‐2815; E‐mail: ruth.sapir-pichhadze@ 123456mcgill.ca

                Author information
                http://orcid.org/0000-0003-0745-004X
                Article
                IID3185
                10.1002/iid3.185
                5691302
                28840646
                b89a624e-a665-43f1-8622-1ae5c0611237
                © 2017 The Authors. Immunity, Inflammation and Disease Published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 April 2017
                : 15 June 2017
                : 18 June 2017
                Page count
                Figures: 5, Tables: 1, Pages: 9, Words: 4954
                Funding
                Funded by: KRESCENT‐CIHR New Investigator Award
                Funded by: Kidney Foundation of Canada
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                iid3185
                December 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.2.5 mode:remove_FC converted:17.11.2017

                accuracy,ambiguity,epitope,haplostats,histocompatibility,prediction,recall,transplant

                Comments

                Comment on this article