title: Measuring ambiguity in HLA typing methods.
abstract: In hematopoietic stem cell transplantation, donor selection is based primarily on matching donor and patient HLA genes. These genes are highly polymorphic and their typing can result in exact allele assignment at each gene (the resolution at which patients and donors are matched), but it can also result in a set of ambiguous assignments, depending on the typing methodology used. To facilitate rapid identification of matched donors, registries employ statistical algorithms to infer HLA alleles from ambiguous genotypes. Linkage disequilibrium information encapsulated in haplotype frequencies is used to facilitate prediction of the most likely haplotype assignment. An HLA typing with less ambiguity produces fewer high-probability haplotypes and a more reliable prediction. We estimated ambiguity for several HLA typing methods across four continental populations using an information theory-based measure, Shannon's entropy. We used allele and haplotype frequencies to calculate entropy for different sets of 1,000 subjects with simulated HLA typing. Using allele frequencies we calculated an average entropy in Caucasians of 1.65 for serology, 1.06 for allele family level, 0.49 for a 2002-era SSO kit, and 0.076 for single-pass SBT. When using haplotype frequencies in entropy calculations, we found average entropies of 0.72 for serology, 0.73 for allele family level, 0.05 for SSO, and 0.002 for single-pass SBT. Application of haplotype frequencies further reduces HLA typing ambiguity. We also estimated expected confirmatory typing mismatch rates for simulated subjects. In a hypothetical registry with all donors typed using the same method, the entropy values based on haplotype frequencies correspond to confirmatory typing mismatch rates of 1.31% for SSO versus only 0.08% for SBT. Intermediate-resolution single-pass SBT contains the least ambiguity of the methods we evaluated and therefore the most certainty in allele prediction. The presented measure objectively evaluates HLA typing methods and can help define acceptable HLA typing for donor recruitment.
authors.affiliation: Bioinformatics Research, National Marrow Donor Program, Minneapolis, Minnesota, United States of America.
authors.forename: Vanja
authors.initials: V
authors.lastname: Paunić
authors.forename: Loren
authors.initials: L
authors.lastname: Gragert
authors.forename: Abeer
authors.initials: A
authors.lastname: Madbouly
authors.forename: John
authors.initials: J
authors.lastname: Freeman
authors.forename: Martin
authors.initials: M
authors.lastname: Maiers
mesh_terms: D000465:Algorithms; D000483:Alleles; D019277:Entropy; D005006:Ethnicity; D005838:Genotype; D006680:HLA Antigens / Q000276:immunology; D006239:Haplotypes; D018380:Hematopoietic Stem Cell Transplantation / Q000379:methods; D006650:Histocompatibility Testing / Q000379:methods*; D006801:Humans; D015810:Linkage Disequilibrium; D015233:Models, Statistical; D011110:Polymorphism, Genetic; D015203:Reproducibility of Results
chemical_list: D006680:HLA Antigens