Summary: The MHC is a highly polymorphic genomic region that encodes the transplantation and immune regulatory molecules. It receives special attention for genetic investigation because of its important role in the regulation of innate and adaptive immune responses and its strong association with numerous infectious and/or autoimmune diseases. The MHC locus was first discovered in the mouse and for the past 50 years it has been studied most intensively in both mice and humans. However, in recent years the macaque species have emerged as some of the more important and advanced experimental animal models for biomedical research into MHC with important human immunodeficiency virus/simian immunodeficiency virus and transplantation studies undertaken in association with precise MHC genotyping and haplotyping methods using Sanger sequencing and next‐generation sequencing. Here, in this special issue on ‘Macaque Immunology’ we provide a short review of the genomic similarities and differences among the human, macaque and mouse MHC class I and class II regions, with an emphasis on the association of the macaque class I region with MHC polymorphism, haplotype structure and function.

The Mhc is a highly conserved gene region especially interesting to geneticists because of the rapid evolution of gene families found within it. High levels of Mhc genetic diversity often exist within populations. The chicken Mhc is the focus of considerable interest because of the strong, reproducible infectious disease associations found with particular Mhc-B haplotypes. Sequence data for Mhc-B haplotypes have been lacking thereby hampering efforts to systematically resolve which genes within the Mhc-B region contribute to well-defined Mhc-B-associated disease responses. To better understand the genetic factors that generate and maintain genomic diversity in the Mhc-B region, we determined the complete genomic sequence for 14 Mhc-B haplotypes across a region of 59 kb that encompasses 14 gene loci ranging from BG1 to BF2. We compared the sequences using alignment, phylogenetic, and genome profiling methods. We identified gene structural changes, synonymous and non-synonymous polymorphisms, insertions and deletions, and allelic gene rearrangements or exchanges that contribute to haplotype diversity. Mhc-B haplotype diversity appears to be generated by a number of mutational events. We found evidence that some Mhc-B haplotypes are derived by whole- and partial-allelic gene conversion and homologous reciprocal recombination, in addition to nucleotide mutations. These data provide a framework for further analyses of disease associations found among these 14 haplotypes and additional haplotypes segregating and evolving in wild and domesticated populations of chickens.

HLA genotyping by next generation sequencing (NGS) requires three basic steps, PCR, NGS, and allele assignment. Compared to the conventional methods, such as PCR-sequence specific oligonucleotide primers (SSOP) and -sequence based typing (SBT), PCR-NGS is extremely labor intensive and time consuming. In order to simplify and accelerate the NGS-based HLA genotyping method for multiple DNA samples, we developed and evaluated four multiplex PCR methods for genotyping up to nine classical HLA loci including HLA-A, HLA-B, HLA-C, HLA-DRB1/3/4/5, HLA-DQB1, and HLA-DPB1. We developed multiplex PCR methods using newly and previously designed middle ranged PCR primer sets for genotyping different combinations of HLA loci, (1) HLA-DRB1/3/4/5, (2) HLA-DQB1 (3.8 kb to 5.3 kb), (3) HLA-A, HLA-B, HLA-C, and (4) HLA-DPB1 (4.6 kb to 7.2 kb). The primer sets were designed to genotype polymorphic exons to the field 3 level or 6-digit typing. When we evaluated the PCR method for genotyping all nine HLA loci (9LOCI) using 46 Japanese reference subjects who represented a distribution of more than 99.5% of the HLA alleles at each of the nine HLA loci, all of the 276 alleles genotyped, except for HLA-DRB3/4/5 alleles, were consistent with known alleles assigned by the conventional methods together with relevant locus balance and no excessive allelic imbalance. One multiplex PCR method (9LOCI) was able to provide precise genotyping data even when only 1 ng of genomic DNA was used for the PCR as a sample template. In this study, we have demonstrated that the multiplex PCR approach for NGS-based HLA genotyping could serve as an alternative routine HLA genotyping method, possibly replacing the conventional methods by providing an accelerated yet robust amplification step. The method also could provide significant merits for clinical applications with its ability to amplify lower quantity of samples and the cost-saving factors.

HLA-DPB1 T-cell epitope (TCE) mismatching algorithm and rs9277534 SNP at the 3′ untranslated region (3′UTR) in the HLA-DPB1 gene are key factors for transplant-related events in unrelated hematopoietic cell transplantation (UR-HCT). However, the association of these 2 mechanisms has not been elucidated. We analyzed 19 frequent HLA-DPB1 alleles derived from Japanese healthy subjects by next-generation sequencing of the entire HLA-DPB1 gene region and multi-SNP data of the HLA region in 1589 UR-HCT pairs. The risk of acute graft-versus-host disease (aGVHD) was analyzed in 1286 patients with single HLA-DPB1 mismatch UR-HCT. The phylogenetic tree constructed using the entire gene region demonstrated that HLA-DPB1 alleles were divided into 2 groups, HLA-DP2 and HLA-DP5. Although a phylogenetic relationship in the genomic region from exon 3 to 3′UTR (Ex3-3′UTR) obviously supported the division of HLA-DP2 and HLA-DP5 groups, which in exon 2 showed intermingling of HLA-DPB1 alleles in a non–HLA-DP2 and non–HLA-DP5-group manner. Multi-SNP data also showed 2 discriminative HLA-DPB1 groups according to Ex3-3′UTR. Risk of grade 2-4 aGVHD was significantly higher in patient HLA-DP5 group mismatch than patient HLA-DP2 group mismatch (hazard ratio, 1.28; P = .005), regardless of donor mismatch HLA-DP group. Regarding TCE mismatch, increasing risk of aGVHD in patient HLA-DP5 group mismatch and TCE-nonpermissive mismatch were observed only in patients with TCE-permissive mismatch and patient HLA-DP2 group mismatch, respectively. Evolutionary analysis revealed that rs9277534 represented a highly conserved HLA-DPB1 Ex3-3′UTR region and may provoke aGVHD differently to TCE mismatching algorithm, reflecting exon 2 polymorphisms. These findings enrich our understanding of the mechanism of aGVHD in HLA-DPB1 mismatch UR-HCT. Key Points HLA-DPB1 alleles diverged into 2 major groups according to highly conserved DNA sequences Ex3-3′UTR. Two evolutionarily different HLA-DPB1 gene regions complementarily affect aGVHD in HLA-DPB1 mismatch UR-HCT.