MICA intron 1 sequences of conserved extended HLA haplotypes: implications for sequencing-based typing

Diversity and characterization of polymorphic 5' promoter haplotypes of MICA and MICB genes

The major histocompatibility complex (MHC) class I-related chain A (MICA) and B (MICB) are ligands for the natural killer group 2, member D (NKG2D) activating receptor expressed on natural killer (NK) cells, natural killer T (NKT) cells, CD8+ T cells and γδ T cells. Natural killer group 2, member D (NKG2D) ligand expression is stress-related and upregulated by infected or oncogenic cells leading to cytolysis. MICA and MICB genes display considerable polymorphism among individuals and studies have investigated allelic association with disease and relevance of MICA in transplantation, with variable success. It is now known that promoters of MICA and MICB are polymorphic with some polymorphisms associating with reduced expression. We sequenced International Histocompatibility Workshop (IHW) cell line DNA to determine promoter types and alleles encoded by exons 2-6. We found 8 of 12 known MICA promoter polymorphisms and although promoter P7 dominated, other promoters associated with the same allele. For example, MICA*002:01 had promoters P3, P4 or P7 and the common MICA*008:01/04 type had P1, P6 or P7. Similarly, we sequenced 8 of 12 known MICB promoter haplotypes. Some coding region defined MICB alleles had a single promoter, for example, MICB*002:01 and promoter P9, whereas the promiscuous MICB*005 allele had promoters P1, P2, P5, P6, P10 or P12. The results indicate potential for variation in expression of MICA and MICB ligands between individuals with the same allelic types. If differential expression by polymorphic MICA and MICB promoters is confirmed by functional studies, involvement of these genes in disease susceptibility or adverse transplantation outcomes may require knowledge of both promoter and allelic types to make meaningful conclusions.

MICA polymorphism identified by whole genome array associated with NKG2D-mediated cytotoxicity in T-cell large granular lymphocyte leukemia

BACKGROUND

Large granular lymphocyte leukemia is a semi-autonomous clonal proliferation of cytotoxic T cells accompanied by immune cytopenias and various autoimmune conditions. Due to the rarity of this disease and its association with autoimmune diseases, a theoretical germline or somatic mutation might have significant penetrance, thus enabling detection, even from samples of suboptimal size, through genome-wide association studies.

DESIGN AND METHODS

To investigate a non-mendelian genetic predisposition to large granular lymphocyte leukemia, we used a step-wise method for gene discovery. First, a modified 'random forests' technique was used for candidate gene identification: this was followed by traditional allele-specific polymerase chain reaction, sequencing modalities, and mechanistic assays.

RESULTS

Our analysis found an association with MICA, a non-peptide-presenting, tightly regulated, stress-induced MHC-like molecule and cognate receptor for NKG2D, found abundantly on large granular lymphocyte leukemia cells. Sequencing of germline DNA revealed a higher frequency of MICA*00801/A5.1 in patients with large granular lymphocyte leukemia than in matched controls (64% versus 41%, P<0.001, homozygous 40% versus 15%, P<0.001). Flow cytometry was employed to determine the expression of MICA within hematologic compartments, showing that the signal intensity of MICA was increased in granulocytes from neutropenic patients with large granular lymphocyte leukemia in comparison with that in controls (P=0.033). Furthermore, neutrophil counts were inversely correlated with MICA expression (R(2)=0.50, P=0.035). Finally, large granular lymphocyte leukemia cells were able to selectively kill MICA(+) Ba/F3 lymphocytes transfected with human MICA*019 in a dose-dependent manner compared to naïve cells (P<0.001), an effect mitigated by administration of an anti-NKG2D antibody (P=0.033).

CONCLUSIONS

Our results illustrate that MICA-NKG2D played a role in disease pathogenesis in the majority of patients in our cohort of cases of large granular lymphocyte leukemia and further investigation into this signaling axis may provide potent therapeutic targets.

HLA and MICA associations with head and neck squamous cell carcinoma

Head and neck squamous cell carcinoma (HNSCC) is a very aggressive tumour arising from the epithelial lining of the upper aerodigestive tract. The precise mechanisms involved in the pathogenesis of HNSCC have not been elucidated. Previous studies observed aberrant HLA expression patterns on HNSCC tumour cells and this study focused on the allelic polymorphism of HLA genes and the MHC class I chain related gene A (MICA) and HNSCC. We investigated whether associations with HLA and/or MIC alleles or haplotypes are involved in the pathogenesis of HNSCC and could explain the observed HLA expression patterns. Patients and controls were typed for HLA-A, HLA-B, HLA-C, HLA-DRB1 and HLA-DQB1 with sequence specific priming (SSP), supplemented with sequencing based typing (SBT). MICA allelic polymorphism was included and MICA allele assignment was based upon the combination of high resolution SBT of exons 2-4 in combination with repeat analysis and nucleotide polymorphism of exon 5. HLA-B *35 (p=0.014, OR=0.31) and HLA-B *40 (p=0.013, OR=2.9) were significantly associated in respectively the metastasized patients and the oral cavity patients. In addition, the HLA-B *40-DRB1 *13 haplotype (p=0.016, OR=4.1) was more often observed in the oral cavity patient group. The biological significance of the prevalence of specific HLA haplotypes in patients with oral cavity HNSCC and metastasizing HNSCC requires further investigation.

Allelic Diversity and Affinity Variants of MICA are Imbalanced in Spanish Patients with Behcet's Disease

The aetiology of Behçet's disease (BD) is still unknown, but genetic and environmental factors are involved. HLA-B*51 is considered a susceptibility marker and some MICA alleles have also been associated. Cytotoxic T lymphocytes have been suggested as responsible for BD lesions by engaging MICA through NKG2D surface molecules. In the present study, HLA-B and MICA alleles were typed by polymerase chain reaction using sequence-specific primers, in 165 healthy Spanish controls and 42 BD patients. In the healthy group, MICA*008 (28.48%), MICA*004 (17.58%), MICA*002 (14.24%) and MICA*009 (9.39%) were the predominant alleles and the most common haplotype was MICA*004-B*44 (12.12%). MICA*001 (5.15%), MICA*004, MICA*011 (4.54%) and MICA*018 (5.15%) were more frequent, and MICA*010 (1.81%) and MICA*008 were less prevalent than in other Caucasoid populations. Similar results have been reported in North African individuals and this could support the hypothesis of a common ancestral origin of both populations. The frequencies of MICA*009 and MICA*019 were significantly increased in our BD patients in comparison with controls: 22.62% versus 9.39% and 10.71% versus 1.81% respectively. The increase of MICA*019 had not been described in other BD cohorts, and it corroborates the genetic heterogeneity at MICA locus in BD patients. High-affinity MICA alleles for NKG2D were more frequent in controls than in patients. Moreover, high-affinity alleles were not found in homozygous BD patients. These results argue against the hypothesis of an autoaggressive response in BD patients through MICA-NKG2D interactions.

Conserved extended haplotypes of the major histocompatibility complex: further characterization

Since the complete sequencing of a human major histocompatibility complex (MHC) haplotype, interest in non-human leucocyte antigen (HLA) genes encoded in the MHC has been growing. Non-HLA genes, which outnumber the HLA genes, may contribute to or account for HLA and disease associations. Most information on non-HLA genes has been obtained in separate studies of individual loci. To comprehensively address polymorphisms of relevant non-HLA genes in 'conserved extended haplotypes' (CEH), we investigated 101 International Histocompatibility Workshop reference cell lines and nine additional anonymous samples representing all 37 unambiguously characterized CEHs at MICA, NFKBIL1, LTA, NCR3, AIF1, HSPA1A, HSPA1B, BF, NOTCH4 and a single nucleotide polymorphism (SNP) at HLA-DQA1 as well as MICA, NOTCH4, HSPA1B and all five tumour necrosis factor short tandem repeat (STR) polymorphisms. This work (1) provides an extensive catalogue of MHC polymorphisms in all CEHs, (2) unravels interrelationships between HLA and non-HLA haplotypical lineages, (3) resolves reported typing ambiguities and (4) describes haplospecific markers for a number of CEHs. Analysis also identified a DQA1 SNP and segments containing MHC class III polymorphisms that corresponded with class II (DRB3 and DRB4) lineages. These results portray the MHC where lineages containing non-HLA and HLA variants in linkage disequilibrium may operate in concert and can guide more thorough design and interpretation of HLA-disease relationships.

The Haplotype Structure of the Human Major Histocompatibility Complex

There is great interest in the use of single-nucleotide polymorphisms (SNPs) and linkage disequilibrium (LD) analysis to localize human disease genes. The results suggest that the human genome, including the major histocompatibility complex (MHC), consists largely of 5- to 200-kb blocks of sequence fixity between which random recombination occurs. Direct determination of MHC haplotypes from family studies also demonstrates similar-sized blocks, but otherwise gives a very different picture, with a third to a half of Caucasian haplotypes fixed from HLA-B to HLA-DR/DQ (at least 1 Mb) as conserved extended haplotypes (CEHs), some of which encompass more than 3 Mb. These fixed haplotypes differ in frequency both in different Caucasian subpopulations and in Caucasian patients with HLA-associated diseases, complicating disease susceptibility gene localization. The inherent inability of LD analysis to "see" DNA fixity beyond three markers contributes to the failure of SNP/LD analysis to define in detail or even detect CEHs in the MHC and probably elsewhere in the genome. More importantly, the use of statistical analysis, rather than direct haplotype determination and counting, fails to reveal the details of haplotype structure essential for gene localization. Given the oversimplified picture of the MHC (and probably the rest of the genome) provided only by SNP/LD-defined blocks, it is questionable whether this approach will be of great help in disease susceptibility gene localization or identification.