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.

Highlights

  • The Human Leukocyte Antigen (HLA) gene system on Chromosome 6 is one of the most polymorphic regions of the human genome and one of the most extensively studied regions due to its importance in transplantation and association with autoimmune, infectious and inflammatory diseases [1,2,3]

  • The HLA gene system plays a crucial role in hematopoietic stem cell transplantation (HSCT), where patients and donors are matched with respect to their HLA genes, in order to maximize the chances of successful transplant [4]

  • For HLA-A and HLA-B loci we used kits described at the 12th International Histocompatibility Workshop [29], and for HLADRB1 locus we used a kit described at the 11th International Histocompatibility Workshop [15,30]

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Summary

Introduction

The Human Leukocyte Antigen (HLA) gene system on Chromosome 6 is one of the most polymorphic regions of the human genome and one of the most extensively studied regions due to its importance in transplantation and association with autoimmune, infectious and inflammatory diseases [1,2,3]. The HLA region contains genes that encode protein products crucial for adaptive immune response, and its high genetic polymorphism allows the immune system to fight a variety of pathogens. Developments in DNA based typing methods have seen a large increase in new HLA alleles being identified each year, at an average rate of more than one new allele discovered per day [5,6,7]. Discovered alleles and their sequences along with the most recent information on HLA region are catalogued in the IMGT/HLA database [8]. As of the first quarter of 2012, more than 1700, 2300, and 1000 alleles have been discovered for the class-I HLA-A, -B, and class II HLADRB1 loci, respectively (http://www.ebi.ac.uk/imgt/hla/) [9]

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