Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 Jan 1.
Published in final edited form as: Blood Rev. 2012 Nov 20;27(1):1–12. doi: 10.1016/j.blre.2012.10.001

Genetics of Graft-versus-Host Disease: The Major Histocompatibility Complex

Effie W Petersdorf 1
PMCID: PMC3626414  NIHMSID: NIHMS417750  PMID: 23182478

Abstract

Graft-versus-host disease (GVHD) is a potentially life-threatening complication of allogeneic hematopoietic cell transplantation. Many genes are presumed to be involved in GVHD, but the best characterized genetic system is that of the human major histocompatibility complex (MHC) located on chromosome 6. Among the hundreds of genes located within the MHC region, the best known and characterized are the classical HLA genes, HLA-A, C, B, DRB1, DQB1, and DPB1. They play a fundamental role in T cell immune responses, and HLA-A, C, and B also function as ligands for the natural killer cell immunoglobulin-like receptors involved in innate immunity. This review highlights the state-of-the art in the field of histocompatibility and immunogenetics of the MHC with respect to genetic risk factors for GVHD.

Keywords: Major histocompatibility complex (MHC), HLA, Haplotype, Linkage disequilibrium (LD), Graft-versus-host disease (GVHD), Hematopoietic cell transplantation (HCT), Unrelated donor, Cord blood transplantation, Single nucleotide polymorphism (SNP)

Introduction

The major histocompatibility complex (MHC) is a 7 megabase gene-rich region on chromosome 6p21. A staggering number of genes within the MHC participate in immune responses. This review will focus on the role of classical HLA, non-classical HLA, and haplotype-linked inflammatory genes in GVHD after hematopoietic cell transplantation (HCT) from unrelated and haploidentical related donors and cord blood graft sources. New research on mapping novel MHC region genes involved in GVHD is presented.

I. Classical HLA Genes

In 1954, Professor Jean Dausset described a white blood cell antigen named “HU-1” 1. Shortly thereafter, Professors Jon van Rood and Rose Payne defined a series of novel iso-antigens, which earned the name “LA” 2;3. Therein marked the beginning of the HLA (HU-1 and LA) system as we know it today 4;5. As of September, 2012, there are over 2,013 HLA-A, 1,551 HLA-C, 2,605 HLA-B, 1,159 HLA-DRB1, 126 HLA-DQB1 and 155 HLA-DPB1 alleles recognized by the World Health Organization Nomenclature Committee for Factors of the HLA System 6. Since its discovery over 50 years ago, there has been extensive scientific investigation into the functional implications of HLA genetic diversity. The availability of molecular tools for typing allelic variants of HLA genes has in large part contributed to the log rhythmic increase in information on the role of HLA genes in transplantation.

A. Association of Genotypes with GVHD

The MHC has the most extensive number of associations to human diseases than any other region of the human genome 7. Whether specific HLA genotypes also serve as prognostic indicators of GVHD has been an area of active investigation 8-12. These studies test the hypothesis that GVHD is influenced by peptides presented as minor histocompatibility antigens by specific HLA antigens. In a large single center analysis, individual HLA types were evaluated in over 2,500 patients transplanted from HLA-identical sibling donors 12. There was evidence for global heterogeneity in risk of GVHD associated with HLA-B tissue type, and a trend for lower risk of GVHD in HLA-B35-positive and B49-positive patients. Since the associations between HLA-B phenotype and GVHD risk in this study were consistent with some 8 but not other analyses 9, the authors concluded that there was a lack of biologically plausible associations of HLA-B antigens with GVHD risk. Since tissue types were defined at the serological level, the potential still exists that unique DNA-defined alleles may be GVHD risk markers.

1. HLA-DR15 Haplotypes

HLA-DR15 has been a haplotype of great interest because of its association with several immune-mediated marrow failure syndromes including severe aplastic anemia, myelodysplastic syndrome (MDS), and paroxysmal nocturnal hemoglobinuria 13-21. Furthermore, the presence of HLA-DR15 influences the response to immunosuppressive therapy in these disorders 16;22-25.

The association of HLA-DR15 to acute and chronic GVHD, relapse and survival has been explored in several transplant populations 21;26-29. In an early analysis of 167 patients receiving a related or unrelated HLA-matched transplant for myeloid diseases, the presence of HLA-DR15 was associated with a lower risk of grades II-IV acute GVHD (23% versus 42%, P = 0.04) but not with chronic GVHD 26. In contrast, an independent study of 192 HLA-identical sibling transplants for acute or chronic leukemia or non-Hodgkin lymphoma identified HLA-DR15 as a beneficial marker of transplant outcome 27. Patients carrying HLA-DR15 had higher five-year survival (76% versus 55%, P = 0.04) that was likely due to lower relapse (5% versus 24%, P = 0.02) when compared to HLA-DR15-negative patients. Similar beneficial trends were reported in a series of 286 patients who received HLA-identical sibling transplants 28. Most recently, an analysis by the Center for International Blood and Marrow Transplant Research (CIBMTR) included 1,204 patients receiving transplants from HLA-identical siblings for severe aplastic anemia 29. Secondary graft failure was lower in HLA-DR15-positive patients (HR .46, P = 0.01), however neutrophil recovery, platelet recovery, acute and chronic GVHD and survival were not associated with presence of HLA-DR15.

How can these differences be reconciled? The answer may in part be found in haplotype-linked variation within the tumor necrosis factor (TNF) gene located in the class III region of the MHC 21. In a retrospective study of 7,950 patients transplanted for benign and malignant blood diseases, risks after transplantation were not the same for patients with MDS or chronic myeloid leukemia (CML) and depended on HLA-DR15 haplotype-linked variation within the TNF genetic region 21. In this study, patients with MDS were more often HLA-DR15-postive (31%) than patients with CML (23%). Among MDS and CML patients, HLA-DR15 was not associated with GVHD, relapse, non-relapse mortality (NRM) or survival. Haplotype-linked TNF polymorphisms, however, differed at the -308 position in the TNF promoter where the AG genotype was associated with increased NRM compared to the GG genotype (HR 1.49, P = 0.02) after adjusting for the presence of HLA-DR15. Furthermore, at the -863 position, the AA genotype was associated with lower mortality (HR 0.36, P = 0.04) and NRM (HR 0.13, P = 0.04) compared to the CC genotype after adjusting for HLA-DR15. Interestingly, the impact of TNF polymorphisms on grades II-IV acute GVHD depended on whether the genotypes were carried on HLA-DR15 haplotypes. In HLA-DR15-negative patients, -308AG was associated with an increased risk of acute GVHD compared to patients with GG genotypes; however, -308AG in HLA-DR15-positive patients was protective. Neither position was associated with transplant outcome in patients with CML. Therefore, the risks associated with HLA-DR15 positivity among patients with MDS were influenced by the haplotype-liked TNF variation and not by HLA-DR15 per se. No association with HLA-B alleles and transplant outcome was observed. These results suggest that haplotypes, by virtue of their gene content and sequence diversity, may confer different risks of GVHD. Efforts to map haplotype-specific variation are likely to yield promising new information that can be used to assess risks of GVHD in patients prior to transplantation. A review of current studies aimed at mapping MHC haplotype-linked variation is presented below.

2. Non-classical Class I Genes and GVHD: HLA-E, HLA-G, and MICA

The class I region encodes the classical loci HLA-A, C, and B, as well as the non-classical genes HLA-E, HLA-G and MICA. HLA-E has been of particular interest because HLA-E molecules are ligands for the inhibitory natural killer (NK) cell receptor NKG2A 30 and may also be involved in allele-specific presentation of minor histocompatibility antigens 31. Since a model that proposes genotype-associated risk does not depend on patient-donor HLA mismatching, the presence of specific HLA-E alleles could affect the risk of GVHD after HLA-matched or mismatched related or unrelated donor HCT much in the same way as the classical HLA antigens described above. Several studies have identified an association of specific HLA-E alleles with transplant outcome, although these studies arrive at different conclusions regarding the endpoints most affected. Whereas a protective effect of the E*01:03 allele on GVHD was observed in sibling and unrelated donor HCT 32;33, the same allele led to lower transplant-related mortality (TRM) and better survival (but not acute GVHD) in other studies 34;35. Yet, new information from an independent study of unrelated donor transplants does not suggest any correlation between HLA-E alleles and transplant outcome 36. Hence, a role for specific HLA-E alleles in GVHD remains to be defined.

Whereas HLA-E is ligand for inhibitory NK receptors, MICA is a ligand for the activating NKG2D receptor. Patients who are homozygous for a valine at residue 129 of MICA are at higher risk for chronic GVHD after HLA-matched sibling HCT compared to patients who have a methionine at this position; risk was independent of acute GVHD, suggesting a role for residue 129 in alloimmune responses 37. The role of patient-donor mismatching at MICA is described below.

HLA-G has been most intensely studied as a key molecule in maternal-fetal immunology. Studies in HCT have focused on a 14 basepair (bp) sequence within the gene that correlates with the level of HLA-G expression. The 14-bp deletion is associated with high levels of HLA-G expression whereas the 14-bp insertion is associated with lower levels. Studies that have investigated the relationship between GVHD and the 14 bp sequence have yielded heterogeneous results. The 14 bp deletion was associated with an increased risk of acute GVHD after unrelated donor HCT 38 and with lower survival and disease-free survival (DFS) 39, however in another analysis, the 14 bp insertion most closely predicted risk of clinically severe acute GVHD 40. These results likely reflect population differences and complex mechanisms that involve splice variants of HLA-G 41-43. Future studies of HLA-G are needed to bridge the molecular with phenotypic variation defined by the insertion/deletion polymorphism on GVHD risk.

B. Impact of Mismatching for Classical HLA Genes on GVHD

Donor HLA mismatching is one of the best characterized risk factors for GVHD in transplantation from related and unrelated donors and cord blood units. The principles of HLA matching have been most extensively elucidated in unrelated donor transplantation, which has served as a starting point for investigation in cord blood transplantation. The following section summarizes the rich history of studies investigating the importance of HLA matching in HCT.

1. Unrelated Donor Transplantation

There are 5 major concepts regarding the role of donor HLA mismatching and GVHD in unrelated donor HCT: 1) type and match at high resolution; 2) consider HLA-DP especially if HLA-A, C, B, DR, DQ-matched donors are available; 3) when matched donors are not available, limit the total number of HLA mismatches; 4) when selecting among HLA-mismatched donors, distinguish allele from antigen mismatches, and 5) consider KIR ligands, KIR alleles, and KIR haplotypes (presented in the following section).

Type and match at high resolution

The translation of polymerase chain reaction methodology to the field of histocompatibility paved the way for investigation into the clinical significance of HLA genetic variation. Beginning in the early 1990s, the field witnessed rapid dissemination of information on the importance of distinguishing unique alleles within serologically-defined antigen families, as risk factors for graft failure, GVHD and mortality 44-59. These studies demonstrate that a single donor mismatch at either HLA-A, C, B or DRB1 increases the risk of GVHD after unrelated donor bone marrow transplantation with ablative conditioning; however, not all mismatches confer the same risks, and may result from different patient-donor HLA alleles due to ethnicity, to different transplant regimens, or other factors that influence transplant outcome. In an analysis by the CIBMTR for example, mismatching at HLA-B or C was less risky than mismatching at HLA-A or DRB1 58. Although a single HLA-DQB1 mismatch was not associated with higher GVHD risk, HLA-DQB1 mismatching together with mismatching at HLA-A, C, B or DRB1 significantly increased risks 58. Data from these studies have collectively led to the establishment of HLA matching guidelines for the selection of unrelated donors for bone marrow transplantation 60.

Do the same principles of HLA mismatching in unrelated donor bone marrow transplantation also apply to transplantation of growth factor-mobilized peripheral blood stem cells (PBSCs)? A recent study by the CIBMTR found that any single mismatch at HLA-A, C, B or DRB1 (“7/8”) was associated with inferior outcome compared to 8/8 matching 61. Among all mismatches, donor HLA-C antigen mismatching was associated with the worse outcomes compared to HLA-A, B or DRB1 mismatching. Furthermore, mismatching for HLA-C antigens but not HLA-C alleles increased the risk of grades III – IV acute GVHD and mortality, and lowered DFS. Emerging data in reduced intensity unrelated donor transplantation point to similarly detrimental effects of HLA-C mismatching on grades III-IV acute GVHD, non-relapse mortality and lower survival compared to matched HCT 56. These data suggest that the criteria for the selection of mismatched donors may not necessarily be the same for PBSC as for marrow sources and indicate that more information is needed to clarify locus-specific risks between the two graft sources, intensity of the conditioning regimen, and GVHD prophylaxis regimens.

Consider HLA-DP

HLA-DP is a classical transplantation locus 62-71. Mismatching for one DPB1 allele increases the risk of GVHD, and the effect is amplified with two DPB1 mismatches 66. Among HLA-A, C, B, DRB1, DQB1-matched transplant pairs, only 15 – 20% are also HLA-DPB1-matched because of weak linkage disequilibrium (LD) between HLA-DP and the telomeric segment of the MHC. Considering that the identification of HLA-DPB1-matched donors requires extensive typing of a pool of HLA-A, C, B, DRB1, DQB1-matched (“10/10”) donors, studies have focused on using in vitro cytotoxicity assays to identify specific T-cell epitopes (TCE) of patient-donor HLA-DPB1 mismatches that do not increase GVHD risk (“permissible mismatches”) 68. The TCE concept of matching for HLA-DPB1 has been validated in HLA-matched as well as HLA-mismatched unrelated donor transplantation 72. Permissive HLA-DPB1 mismatches in HLA-A, C, B, DRB1 or DQB1-mismatched transplants have outcomes that are similar to those after HLA 10/10 matched non-permissive HLA-DPB1 mismatches. These data suggest that prospective evaluation and selection of selection of unrelated donors with TCE permissive HLA-DPB1 mismatches may lower the risk of GVHD after HLA-A, C, B, DRB1, DQB1-matched and mismatched transplantation.

How to select among mismatched donors

Although mismatching at each HLA locus increases risks, studies to date have yielded heterogeneous results with respect to the relative impact of mismatching among loci 49;58;61;73;74. The relative risks between HLA-A, C, B, DRB1, DQB1, DPB1 mismatches are important when no HLA-matched donor is available, and transplantation from a mismatched donor is considered. Nevertheless, several important concepts have emerged from the international experience: 1) the negative effects of HLA mismatching are additive to one another; 2) HLA-DQB1 locus mismatches are the least risky, except when they occur in combination with mismatching at other HLA loci; 3) HLA-C antigen mismatches are highly deleterious, and 4) mismatching at certain epitopes are risky.

Limit the total number of HLA mismatches

The risk of GVHD increases as the number of HLA mismatches increases 45;47-49;51-54;58. In particular, when one of the mismatches involves HLA-C, risks are especially high 53;58. Although beneficial graft-versus-leukemia effects are observed, multi-locus mismatching with HLA-C is associated with poor survival rates 55;58.

Single DQB1 mismatches are better tolerated than single HLA-A, C, B or DRB1 mismatches

A single HLA-DQB1 mismatch is better tolerated than a single mismatch at HLA-A, C, B or DRB1 53;58. These data indicate that when HLA-A, C, B, DRB1, DQB1-matched donors are not available, donors with a single HLA-DQB1 mismatch might be considered.

HLA-C antigen mismatches are more risky than HLA-C allele mismatches

In unrelated donor bone marrow transplantation, an allele mismatch is just as deleterious as an antigen mismatch at HLA-A, B, or DRB1 but an HLA-C allele mismatch is better tolerated than an HLA-C antigen mismatch 58 . Similar relationships between HLA-C allele and antigen mismatches and transplant outcome are apparent after PBSC transplantation 61. Although the absolute magnitude of risks conferred by HLA-A, C, B, DRB1 and DQB1 mismatches differ from study to study, donor mismatching at HLA-C has consistently been shown to be a risk factor after myeloablative and non-myeloablative transplantation using unrelated bone marrow, PBSC and cord blood units.

Mismatching at specific HLA epitopes is associated with increased GVHD

HLA mismatches do not contribute equally to GVHD risk. Patient-donor mismatching at residue 116 of HLA-B was one of the first epitopes to be identified with increased risk of acute GVHD and TRM 75. More recently, Tyr9–Phe9 of HLA-A and Tyr9–Ser9, Asn77–Ser77, Lys80–Asn80, Tyr99–Phe99, Leu116–Ser116, and Arg156–Leu156 of HLA-C were identified as critical epitopes associated with higher risk of GVHD among mismatches observed in the Japanese transplant population 76;77. These data suggest that risks are not the same for every HLA mismatch, but depend on the specific residues that are mismatched for the particular combination of alleles or antigens. In turn, allele and antigen mismatches reflect the ethnic background of the transplant patient and donor. Parallel efforts are in progress to apply statistical and structural modelling to identify (non)permissive HLA mismatches 78-81.

2. Cord Blood Transplantation

In unrelated donor transplantation, GVHD risk is related to the total number of mismatches. In cord blood transplantation, there is strong evidence that fewer mismatches is associated with overall improved outcome, and that HLA-associated effects are influenced by the cell dose of the cord blood unit(s). Like unrelated donor HCT, there is emerging evidence that matching the cord blood unit for HLA-C will lower post-transplant complications. An important role for non-inherited maternal antigens (NIMA) provides an additional approach for lowering GVHD risk in cord blood transplantation.

Which loci should be typed and at what resolution

The current standard for HLA typing and selection of cord blood units is serological-equivalent level (low resolution) definition of HLA-A and HLA-B, and allele-level (high resolution) typing of HLA-DRB1 (a total of 6 determinants for a “6/6” match) 82;83. Typing for HLA-A and B at the low resolution serological-equivalent level may be performed using either serology or DNA-based laboratory methods. Based on 6 HLA determinants, in most studies increasing the total number of HLA mismatches correlates with an increase in the risk of acute GVHD 82;84-90 but not chronic GVHD 84;88. Compared to 6/6 matched transplants, the total number of mismatches at which a step-up of risk of acute GVHD is observed may be as few as 1 (“5/6”) 84 or 2 (“4/6”) 89, and furthermore, risks may depend on the specific combination of loci that are mismatched, ie, class I plus class II 85. Differences between studies on the total number and nature of HLA mismatches that are most closely associated with both acute GVHD and survival, may depend on many additional factors including the underlying disease diagnosis (malignant or benign), the age of the patient (pediatric or adult), the conditioning regimen (ablative or reduced-intensity) and the cell dose of the cord blood unit (described below) 84;88;89;91;92

There is strong evidence that HLA-C plays an important role in clinical outcome after cord blood transplantation. In a population of 803 patients, TRM was higher after single HLA-C-mismatched cord blood transplantation (HR 3.97, P = 0.018) compared to HLA-A, B, C, DRB1-matched transplantation 90. Risks were further increased with the combination of mismatching at HLA-C with either HLA-A, B or DRB1 (HR 1.7, P = 0.029) compared to HLA-C-matched but single locus HLA-A, B, or DRB1-mismatched transplantation. The risk of TRM increased with 2 (HR 3.27, P = 0.006), 3 (HR 3.34, P = 0.005) and 4 (HR 3.51, P = 0.006) HLA mismatches compared to fully matched transplants. These data suggest that typing and matching for HLA-C, and avoidance of multi-locus mismatching that includes HLA-C, may lower mortality after cord blood transplantation.

HLA-C participates in both T cell and NK pathways, as described more fully in the section below. HLA-C is a ligand for natural killer immunoglobulin-like receptors, or KIR. KIR ligand incompatible cord blood transplants have improved DFS and overall survival and lower relapse, the effect of which may be more evident in patients with AML than with ALL 93. In other studies, KIR ligand mismatching was associated with higher grades III-IV acute GVHD and TRM and poorer survival after reduced intensity conditioning but ligand mismatching did not correlate with acute GVHD, TRM, relapse, or survival after ablative conditioning 94. Whether the differences in outcomes can be attributed to demographic differences between transplant populations (disease and disease stage, conditioning regimens, number of cord blood units transfused) remains to be evaluated with a larger transplant experience. Collectively, these studies indicate a role for typing patients and cord blood units for HLA-C to specifically avoid multi-locus mismatches that involve HLA-C.

If mismatching for HLA-A and B at a serological-equivalent level is clinically meaningful, is there sufficient evidence to warrant high resolution matching? In a study of 122 transplant pairs typed at high resolution at both HLA-A and B, there was no association of allele mismatching and transplant outcomes, although the number of pairs within each match grade were limited 86.These results contrast with those from a COBLT analysis of 179 patients typed at high resolution at HLA-A, B and DRB1, where high resolution matching was associated with lower risk of acute GVHD and a trend towards better survival for patients with a high resolution 6/6 match, worse survival for patients with a 3/6 match, although the differences were not statistically significantly different. 89. High resolution matching did not affect neutrophil or platelet engraftment. Until there is more extensive data on larger numbers of cord blood transplant populations, the clinical utility of high resolution matching for class I alleles remains to be defined.

The interplay between HLA and cell dose

Cell dose was identified very early in the field as the most important determinant of outcome 82. The role of cell dose has been demonstrated in single unit cord blood transplantation for adults 95-97 and in double cord blood transplantation, where the sum of the 2 units yields comparable engraftment as the same cell dose in a single unit 85;98. Given that cell dose and HLA matching independently influence clinical outcome, investigators hypothesized that a higher cell dose might overcome the negative effects of HLA mismatching. The earliest descriptions of this complex interplay of HLA and cell dose found that a median infused total nucleated cell (TNC) dose of 3.7 × 107/kg was associated with a higher probability of neutrophil and platelet recovery and improved survival, and that matching for HLA-A and B at low resolution and HLA-DRB1 at high resolution was also associated with improved engraftment and survival 99. The number of nucleated and CD34+ cells infused and the number of HLA mismatches are independent risk factors for outcome 84;85;98. Although the optimal cell dose for each additional HLA mismatch has not yet been determined 85, higher cell doses in the setting of a single HLA mismatch lead to comparable rates of engraftment as HLA matching 88. TRM is increased with transplantation of units with a cell dose lower than 3 × 107/kg and 1 HLA mismatch, or with the infusion of 2 HLA mismatched units independent of the cell dose infused 88. The protective effect of a high cell dose is most robust when there is limited degrees of HLA mismatching 88. With complete HLA matching, survival is superior regardless of cell dose 100.

Because of the strong association of transplant outcome with disease, the interaction between HLA and cell dose has recently been examined for patients with malignancies separately from patients with non-malignant disorders 101. Among patients with malignant diseases, the negative effects of HLA mismatching were partially nullified by higher cell doses with the exception of patients transplanted from highly mismatched units (3 – 4 mismatches). As the number of HLA mismatches increased, so did the time to engraftment and the risk of chronic GVHD; although chronic GVHD was higher, patients benefited from lower relapse, and had comparable survival and DFS as patients with fewer mismatches. Among patients with marrow failure syndromes, primary immunodeficiencies or hereditary metabolic disorders, those receiving units with cell doses higher than 3.5 × 107 TNC/kg at infusion had optimal outcome. HLA mismatching was associated with delayed engraftment, higher GVHD and TRM and lower survival. These HLA-associated risks were partially nullified by increasing the cell dose. Based on these observations, a cell dose of > 3.5 × 107 TNC/kg for units with 2 or more HLA mismatches has been recommended.

Collectively, these retrospective studies demonstrate that HLA match grade is of paramount importance in the setting of low cell dose. These data have led to the current recommendations for the selection of cord blood units containing a minimum pre-cryopreserved TNC of 3 × 107/kg and prioritization of units with larger TNC if there is HLA mismatching 82;83;102. When 1 unit is not available, the co-infusion of 2 unmanipulated units and application of expansion methods may be used to optimize cell dose 102-104. Avoidance of more than 1 HLA mismatch between the 2 units and the patient may help in lowering post-transplant complications to the patient 82. How these criteria will change in the future when HLA-C and other loci are taken into consideration, remain to be determined. Additional refinements the criteria for HLA matching and cell dose remain to be defined for pediatric and adult patients receiving ablative or reduced intensity conditioning regimens 105.

NIMA effects in cord blood transplantation

The MHC is inherited en bloc on chromosome 6 through Mendelian segregation. In this way, an individual inherits one paternal and one maternal copy of chromosome 6, and is haploidentical to each parent. The non-inherited maternal MHC haplotype contributes HLA antigens to which the cord blood is exposed; this two-way trafficking of HLA antigens may promote tolerance of the non-inherited maternal antigens (“NIMA”) by the immune system of the fetus. Early evidence supported the tolerizing effects of NIMAs in renal transplantation 106;107. Subsequently, observations were made of lower risks of acute and chronic GVHD and mortality after haploidentical marrow transplantation from mother to child, in contrast to higher GVHD rates after transplantation from father to child 108-110. These results supported the role of donor-specific suppression of T cell responses against NIMAs and immunizing effects of paternal antigens. The haploidentical transplant experience suggests that prospective typing of the mother of the stem cell donor can aid in the identification of NIMA-matched donors as a means to lower morbidity and mortality after transplantation.

In cord blood transplantation, the beneficial effect of NIMAs on the patient may arise when the cord blood unit's mother's non-inherited HLA antigen is matched with the patient. To illustrate, a mother has the HLA-A1,2 tissue type; the cord blood unit is HLA-A1,3 and the patient is HLA-A1,2. The cord blood unit is mismatched with the patient for an HLA-A3 (unit) versus HLA-A2 (patient). However, the mother's non-inherited antigen, HLA-A2, is matched with the patient's HLA-A2. The hypothesis is that in utero, the cord blood is tolerized to the non-inherited HLA-A2 maternal antigen; after transplantation, the tolerization of the HLA-A2 is associated with lower risk of GVHD in the patient.

Proof of principle has been established in cord blood transplantation 111. In an analysis of 1,121 patients receiving single cord blood unit transplants, 1,059 pairs were mismatched for one or two antigens at HLA-A and/or B and/or DRB1. Of these transplants, 79 (7%) were NIMA-matched (the mismatched antigen(s) were shared between the transplant patient and the mother of the cord blood unit). Lower TRM was observed with NIMA-matched transplants compared to NIMA-mismatched transplants. Although a subsequent analysis did not observe the same protective effect of NIMA matching to NRM or mortality 112, most recently a beneficial effect of NIMA matching has been observed in HLA-mismatched single unit CBTs, confirming the original analysis by van Rood an colleagues in 2009 113. In this case-control study of 48 NIMA-matched and 116 NIMA-mismatched transplants, NIMA-matched and NIMA-mismatched transplants had similar neutrophil recovery, acute and chronic GVHD, and relapse. TRM was lower (RR 0.48, P = 0.05) and mortality was lower (RR 0.61, P = .04) after NIMA-matched compared to NIMA-mismatched cord blood transplantation. These data have important implications to the selection of cord blood units. For patients with malignant disorders and a choice of units, selection of a unit whose maternal typing shows a NIMA match to the recipient may lower overall mortality risks to the patient. In the future, elucidation of the interplay between cell dose, HLA match and NIMA match status may offer new approaches for improving outcomes.

3. Haploidentical Related HCT

The beneficial NIMA effects in haploidentical transplantation has stimulated investigation into the clinical importance of the number of mismatches on the non-shared haplotype. In a multicenter retrospective study of 185 patients receiving T-replete marrow from first-degree relatives 114, increasing numbers of host-versus-graft (HVG) vector mismatches were accompanied by a trend towards lower relapse and improved event-free survival. There was also a higher incidence of graft failure with 3 or 4 antigen mismatches in HVG vector compared to less than 3 mismatches, but the difference was not statistically significant. Mismatching for class I antigens showed a trend for lower risk of relapse (P = 0.04), however class I graft-versus-host (GVH) vector mismatches were not associated with any other outcome parameter. Increasing numbers of class I antigen mismatches in the HVG vector was associated with lower risk of relapse (HR 0.55, P = 0.02), as were HLA-DRB1 mismatches in the GVH vector (HR 0.65, P = 0.04) which led to improved event-free survival (HR 0.62, P = 0.009). There were no significant associations between grades II-IV acute GVHD and the number of HLA mismatches (HR 0.89, P = 0.68 for 3 – 4 HLA mismatches versus fewer than 3 mismatches) and the number of HLA mismatches had no effect on event-free survival. These results suggest that outcome after haploidentical related donor transplantation is influenced by the cumulative effects of HLA mismatching on the non-shared HLA haplotype which include NIMA-matched antigens.

II. Natural Killer Immunoglobulin-Like Receptors and Ligands

HLA class I molecules participate in both T cell and NK-mediated immune responses and for this reason are of great interest in understanding the molecular basis of GVHD and relapse. There is substantial data on the role of ligand mismatching and missing ligands on transplant outcome 115-120. More recently, information on KIR haplotype gene content and KIR receptor gene diversity shed new light on the importance of the innate immune system in hematopoietic cell transplantation and offer novel approaches for lowering the risks of GVHD and relapse.

Definition of KIR ligands and receptors

KIR receptors can have inhibitory or activating potential. HLA-C serves as a ligand for inhibitory KIR receptors (KIR2DL1, KIR2DL2, KIR2DL3), as well as selected activating receptors (KIR2DS1, KIR2DS4). The specificity of the HLA-C ligand-receptor interaction is governed by residues 77 and 80 of HLA-C 30, which forms the basis of the two-group classification scheme known as “C1” and “C2”. C1 ligands encode Ser at position 77 and Asn at position 80 and are recognized by inhibitory KIR2DL2 and KIR2DL3 receptors. C2 ligands encode Asn at position 77 and Lys at position 80 and are recognized by the KIR2DL1 receptor. With high-resolution typing of HLA-C alleles, patients' KIR ligands can be readily defined as C1,C1 homozygous, C2,C2 homozygous, or C1,C2 heterozygous. The HLA-Bw4 motif is encoded by select HLA-B and HLA-A molecules, and is a ligand for inhibitory KIR (KIR3DL1). High resolution typing of HLA-A and B is sufficient to determine whether the ligands are Bw4-positive or Bw4-negative. Therefore, when HLA-A, B and C typing information are evaluated together, the ligands for any patient fall into only 1 of 6 possible groups: C1,C1,Bw4-positive; C1,C1,Bw4-negative; C2,C2, Bw4-positive; C2,C2, Bw4-negative; C1,C2, Bw4-positive, and C1,C2,Bw4-negative. These 6 groups serve as the basis for evaluating the clinical importance of ligand mismatching and missing ligands on transplant outcome.

Ligand models: mismatching versus missing

HLA and KIR genes are encoded on chromosomes 6 and 19, respectively, and segregate independently. In HLA-matched transplantation, the patient and donor must be KIR ligand matched; however, the patient may lack a ligand for the donor's receptor. In HLA-mismatched transplantation, the patient and donor can be mismatched for their KIR ligands and the patient may also be missing ligands. These characteristics distinguish the two models of NK alloreactivity in transplantation.

The original observations from the Perugia group in HLA-mismatched haploidentical transplantation tested the ligand mismatch model 118. In this model, KIR ligand mismatching was associated with improved survival, and absence of graft failure, acute GVHD and relapse; KIR ligand matching was associated with an increased incidence of graft failure, acute GVHD and relapse. The beneficial effect of ligand mismatching was more pronounced in patients with myeloid leukemia than in patients with lymphoid leukemia. Subsequent studies examined the effect of KIR ligand mismatching in unrelated donor and cord blood transplantation and led to heterogeneous results, most likely due to demographic differences in the populations, variable transplant regimens and GVHD prophylaxis regimens and limited numbers of patients 118;121-130. In one of the largest analyses to date, 1,790 T-replete unrelated donor transplants were evaluated for the clinical impact of KIR ligand matching 74. The risk of acute GVHD was increased with disparity for HLA-A, HLA-B, HLA-C, HLA-DPB1, and KIR ligand mismatching in the GVH vector. Mismatching for HLA-A, HLA-B, HLA-DQB1, and KIR ligand in the GVH vector increased mortality. This analysis demonstrated an important role for HLA-C, HLA-DPB1, and KIR ligand mismatching in GVHD vector on post-transplant relapse. As a whole, KIR ligand mismatching had adverse effects on acute GVHD and rejection and had no survival benefit for patients undergoing T-replete unrelated HCT. In cord blood transplantation, two studies reach different conclusions regarding the role of KIR ligand mismatching on transplant outcome 93;94. Whereas patients mismatched for KIR ligands had higher transplant-related mortality due chiefly to higher rates of acute GVHD 94 an independent analysis found lower relapse rates and better survival associated with ligand mismatching, particularly for patients with AML 93. These studies highlight the need for continued analysis of large, well-characterized populations.

In the missing ligand model, the lack of the appropriate HLA ligand in the patient for the donor KIR receptor triggers NK-mediated killing of the patient's target cells leading to the desirable effect of lowered relapse after HCT 127. In an analysis of T-replete unrelated donor transplants 130, HLA-mismatched recipients who were homozygous for HLA-Bw6 and HLA-C KIR ligand groups had a lower risk of relapse; this beneficial effect was not present among HLA-matched recipients. A study of patients receiving T-replete allografts for acute lymphoid leukemia (ALL), acute myeloid leukemia (AML), MDS, and CML demonstrated striking differences in 1 year survival based on presence of KIR and HLA mismatching 131. Mismatched transplants had lower overall survival and event-free survival compared to the matched transplants, and patients mismatched for both HLA and KIR had higher relapse and TRM than patients with any other HLA/KIR combination. In a side-by-side analysis of the two models, Ruggeri confirmed the protective effect of mismatched ligand and not missing ligand on disease recurrence 132. In a large analysis of patients transplanted from unrelated donors for the treatment of myeloid malignancies, patients with low-risk diseases (first complete remission of AML, first chronic phase of CML, early stage MDS), a beneficial effect of missing ligand on lowered disease recurrence was readily apparent in both HLA-matched and HLA-mismatched transplants 133. The protective effect was diminished in patients with more advanced disease.

Receptors

KIR genes are highly organized into haplotypes defined as “group A” and “group B” 30;134-140. Whereas group A haplotypes encode primarily inhibitory receptors and the activating KIR2DS4 gene, group B haplotypes are more diverse and encode more activating genes including KIR2DS1, KIR2DS2, KIR2DS3, KIR2DS5 and KIR3DS1.

New information on the clinical relevance of KIR haplotypes and haplotype gene content provides insight into the relationship between ligand and receptor structure and function 141-145. A dose effect for the number of donor B haplotypes is evident 144;146;147. A dose effect for the number of activating KIR genes impacts the risk of relapse and DFS 148. Transplantation from donors with group A haplotypes or from donors with lower numbers of activating KIR genes, was associated with a lower risk of relapse and higher DFS for patients with AML or MDS recipients but not for patients with ALL. On the other hand, KIR ligand mismatching was associated with significantly higher TRM, lower overall survival, and lower DFS compared to ligand matching. These data suggest that both the HLA ligand and the donor KIR haplotype define transplant outcome.

Since B haplotypes are distinguished by their specific gene content, the clinical impact of B haplotypes might be related to the presence of certain genes (for example KIR2DS1 or KIR3DS1) and/or the absence of other genes (KIR2DL3). In a cohort of T-replete HLA matched or mismatched unrelated donor marrow transplants for AML, CML, MDS or ALL, increased numbers of donor copies of KIR3DS1 correlated with lowered risk of grades II – IV acute GVHD, TRM and mortality 145. To determine whether the KIR3DS1-associated dose effects were directly the result of KIR3DS1 or were due to other haplotype-associated genes, outcomes were analysed for transplants from donors with the B haplotype compared to donors without any B haplotype. GVHD risk was lower in B haplotype-positive transplants, and the haplotype effect was weaker than the KIR3DS1 effect. The presence of the HLA-Bw4 epitope was an independent protective factor for GVHD. These results suggest that future approaches for lowering risks of GVHD may include selection of donors with higher numbers of the KIR3DS1 gene.

MICA: ligands for the activating NKG2D receptor

As described above, a role for a methionine at residue 129 of MICA may be protective against GVHD 37. Clinical outcome may also be affected by patient-donor mismatching at MICA because MICA is polymorphic with over 84 recognized unique alleles (http://hla.alleles.org). Two studies have evaluated the role of mismatching for MICA genes and risk of acute GVHD 149;150. MICA mismatching was associated with an increased risk of grades II-IV acute GVHD but not grades III-IV acute GVHD in both HLA 10/10 matched and HLA-mismatched transplants 149. Notably, MICA mismatching correlated with grades II-IV acute GVHD of the gastrointestinal tract (35% versus 17%, P = 0.05) and was independent of HLA-B and C mismatches. Transplant outcome did not depend on the number of MICA*008 alleles, the most common allele in North American/European Caucasians. Based on these data, the authors hypothesized that expression of MICA on the surface of intestinal cells may interact with NK cells through the NKG2D receptor as well as with γδ and αβ T cells. In a separate study of 38 patients transplanted from HLA 12/12 matched unrelated donors, there was no evidence for a correlation between MICA mismatching and risk of GVHD 150. Overall, MICA mismatching in the setting of 6 locus HLA matching was rare. There was a trend towards less acute GVHD if patients were MICA*008-positive (P = 0.07), and a suggestive trend for severe acute GVHD of the gastrointestinal tract among patients positive for a shared MICA residue encoded by MICA*004, 006, 009, 044, 049 alleles (P = 0.075). Because of the strong positive LD between HLA-B and MICA genes, further examination of an independent cohort of 1676 8/8 matched unrelated donor transplants was conducted to determine whether specific patient HLA-B alleles correlated with GVHD risk. There were no differences in GVHD risk based on linkage of HLA-B alleles to MICA. Unlike the former analysis, these data do not support a role for MICA mismatching in acute GVHD of the GI tract, nor for an allele association of MICA with GVHD.

IV. Non-HLA Genes of Clinical Significance

A. Haplotypes as Markers of GVHD

HLA haplotypes are comprised of HLA genes and other loci that are physically linked on the same chromosomal strand. The MHC encodes over 300 genes, many of which have immune-related function 151. Hence, matching transplant donors for the classical HLA loci represents a minority of the possible haplotype-linked candidate genes that could affect GVHD risk. MHC haplotypes are comprised of blocks or segments of highly conserved DNA sequences 152. HLA haplotypes are conventionally defined by their HLA-A, C, B, DRB1 and DQB1 alleles and antigens; for example, the most frequently observed HLA haplotype in Western European populations is HLA-A1, C7, B8, DR3, DQ2 153. HLA haplotypes can be distinguished from one another at many levels of genetic diversity, including coding regions of complex genes such as HLA, non-coding forms of variation including microsatellite markers and simple biallelic single nucleotide polymorphisms (SNPs) 152;154-162. A hallmark of the MHC is the strong positive long-range LD. The long-range nature of this LD means that some human haplotypes are conserved over 7 megabases in length 163. The strength of LD across the MHC has served as an important basis for understanding the organization of genes on haplotypes and on the ancestry and the history of human populations 164-167.

Evidence for the existence of clinically relevant genes outside of the classical HLA loci was provided by studies that used laboratory methods to define the extent of patient-donor mismatching for blocks or segments of sequences of the MHC in transplant patients and donors 168;169. This early experience provided the impetus to use microsatellite markers to map candidate transplantation determinants within the MHC. Two recent studies provide strong evidence that HLA haplotypes are associated with GVHD risk. A large retrospective analysis of Japanese transplants showed the remarkable degree to which Japanese patients and their HLA-matched unrelated donors share the same SNP polymorphisms over very long genetic distances of the MHC 163. A high level of sequence identity between patients and their donors meant a very low frequency of SNP mismatching. Three major HLA haplotypes were identified in the Japanese transplant population. The presence of some haplotypes was associated with high risk of GVHD, whereas other haplotypes appeared to be protective. This study provided evidence for the role of non-HLA haplotype-associated variation in GVHD.

In contrast to the Japanese experience, North American Caucasian patients and donors have more haplotypic diversity 162. Using a method to physically separate the 2 HLA haplotypes in HLA-matched patients and transplant donors, pairs with different HLA-A, B, DR linkage were identified 170. Compared to patients with the same HLA-A,B,DR haplotypes as their HLA-matched unrelated donors, patients transplanted from HLA-matched donors with different HLA-A,B,DR haplotypes had significantly increased risk of grades III-IV acute GVHD, suggesting that haplotype-linked variation could be responsible for the step-up of risk 171. If haplotypes encode untested genetic variants that influence GVHD risk, what approaches can be taken to identify those risk variants? Mapping the MHC for disease-associated variants can be accomplished using microsatellites and SNPs, as described below.

B. Tools for Querying the MHC

Microsatellites

Microsatellite markers were instrumental in the construction of the second-generation human genome map 172-174. Over 400 microsatellites have been identified within a 3.8 megabase interval of the HLA region of which 241 are polymorphic and can be typed using highly accurate and reproducible methods 175-177. Since microsatellites provide information over great distances across the MHC, they provide information beyond what can be gleaned from typing individual HLA loci 168;178-180. These studies underscore the clinical utility of microsatellite markers as a more comprehensive measure of compatibility between unrelated individuals 181. Microsatellite markers were successfully used to identify TNF as a GVHD determinant in Japanese patients 182. As described below, the association of microsatellite-defined TNF alleles with an increased risk of GVHD in Caucasian transplant patients and donors has been confirmed 183.

SNPs

Single nucleotide polymorphisms (SNPs) are the most abundant kind of inherited variation 184;185. SNPs are biallelic and occur at a frequency of 1 in 10 to 1 in 1000 bp. Because of their stability, SNPs are attractive for mapping disease genes 186. Formal comparison of the utility of microsatellite and SNP markers has been made 187 and SNP platforms have provided an unique tool for understanding HLA haplotype diversity and organization (http://www.sanger.ac.uk/HGP/Chr6?MHC). Although microsatellites are abundant, have high degrees of polymorphism, and are informative for HLA haplotypes, SNPs can be genotyped in a positive/negative assay system and thus are highly amenable to automation. Through the efforts of multiple international SNP consortia, invaluable SNP data are available to facilitate disease mapping (http://www.sanger.ac.uk; www.ncbi.nlm.nih.gov; www.hapmap.org; www.1000genomes.org). In the future, characterization of common and rare HLA haplotypes in ethnically diverse populations will provide an invaluable resource for mapping genes in disease 162.

C. Class III Region Genes and GVHD: Tumor Necrosis Factor and Heat Shock Protein

Immune response genes and cytokines contribute to the acute GVHD “storm” and influence chronic GVHD 188-198. Two genes reside within the MHC class III region, tumor necrosis factor (TNF) and heat shock protein (HSP), and are haplotype-linked determinants of GVHD.

Tumor Necrosis Factor

TNF-α is a pro-inflammatory cytokine that is produced by macrophages, monocytes, NK cells, and T cells. TNF-α can induce several events that are part and parcel of the inflammatory response of GVHD including apoptosis of tissues and increased expression of HLA proteins; furthermore, TNF-α is associated with increased expression of IL-1, IL-6 and IL-10 cytokines 199. The TNF block is a high LD-region that includes 4 distinct genes: TNF-α, TNF-β (lymphocytoxin-α, LTA), leucocyte-specific transcript-1 (LST1) and allograft inflammatory factor (AIF) 152;200. The TNF region is characterized by microsatellite polymorphisms 165;200-202. One of the best studied variants is the TNF promoter SNP position -308 in which the A allele has been associated with higher serum levels of TNF in some studies 203. The literature on TNF and acute GVHD risk is heterogeneous 69;191;204-211 and likely due to differences in demographic characteristics among the study populations (ethnicity, donor type, HLA match status, conditioning and GVHD prophylaxis regimens) as well as relative small sample sizes that limit statistical power. Two recent studies have investigated the TNF block 183;212. Using microsatellites, the presence of the d4/d5 alleles were risk markers for mortality 183. Patients transplanted from d4/d5-positive donors had lower survival rates than did patients transplanted from d4/d5-negative donors. Additive effects of HLA-DPB1 mismatching in TNF d4/d5-positive donors further lowered survival. The Japan Marrow Donor Program (JMDP) used a candidate SNP approach to examine the impact of the TNF-1031 SNP on risk of acute GVHD risk in 2 large cohorts of Japanese patients transplanted from HLA-matched or mismatched unrelated donors 212. Patient-donor mismatching at the TNF-1031 SNP was associated with grade IV acute GVHD.

Heat Shock Protein (HSP) 70hom

The HSP70hom gene resides within the TNF-LTA block of the class III region. HSPs function as carrier molecules for immunogenic peptides presented by antigen-presenting cells to cytotoxic T cells 213 and may induce monocytes to produce cytokines 214. An association between anti-HSP70 antibody levels and risk of GVHD has been described 215, as has the level of HSP70 expression and GVHD 216. The E602K amino acid substitution of HSP70hom has been identified as a risk epitope 217. Compared to patients with the AA genotype, patients without AA had a lower risk of acute GVHD and fewer toxic complications. Lower risk of any GVHD correlated with the presence of the DRB1*11 tissue type indicating a protective haplotypic effect. In the candidate SNP study by the JMDP 212, there was no association between HSP70hom and GVHD. Whether the differences in other haplotype-linked markers between Caucasian and Japanese populations can explain the different results of these studies, remains to be defined in the future with larger, side-by-side comparative analyses.

D. Mapping Novel Transplantation Determinants within the MHC

The availability of high-performance SNP arrays has permitted investigators to fully map the MHC for genes that cause disease. HLA matching of unrelated donors can lower risks of acute GVHD and mortality compared to HLA mismatching, but does not guarantee that the patient will not have life-threatening GVHD. To determine whether undetected HLA haplotype-linked variation contributes to post-transplant complications after HLA-matched unrelated donor transplantation, a recent analysis was performed using a discovery-validation study design 218. A discovery population of 2,492 HLA-matched donor-recipient pairs was used to first determine whether identify MHC-resident SNPs associated with acute or chronic GVHD, relapse, DFS, TRM or survival. Among a panel of 1,120 SNPs, 8 SNPs met a P < 0.01 as candidate markers for transplant outcome. A validation cohort consisting of 1,713 patient-donor pairs was subsequently characterized for each of the 8 candidate SNPs identified through the discovery cohort. Of these 8 SNPs, 2 were found to be significantly associated with transplant outcome. The first SNP, rs887464, resides in the class I region in close proximity to the PSORS1C3 and POU5F1 gene complexes. Donor mismatching for host-versus-graft was associated with higher mortality compared to matching (HR 1.93, P = 0.0006). The second SNP, rs2281389, resides 2 kb from the HLA-DPB1 3′ untranslated region. Donor mismatching at this SNP was associated with significant risks for grades II-IV acute GVHD. To determine whether SNP matching could be used prospectively to lower the number of patients transplanted from rs2281389-mismatched donors, a retrospective study was conducted for patients who had at least 2 HLA-A, C, B, DRB1, DQB1-matched donors identified on their unrelated donor search. Among 230 patients, only 35 (15%) did not have any SNP-matched donor. Sixty-five (28%) patients had at least 1 SNP-matched donor, and 130 (57%) had more than one SNP-matched donor. These data demonstrate that patients who have HLA-matched donors will have SNP-matched donors and suggest that selection of donors with favorable SNP genetics might lower acute GVHD after HLA-matched unrelated donor transplantation.

Practice Points.

  • High resolution typing of HLA-A, C, B, DRB1 and DQB1 genes is used for the selection of unrelated donors for transplantation.

  • Single HLA-DQB1 mismatches may be the best tolerated mismatches in unrelated donor HCT.

  • Two-locus mismatching is associated with high risk of post-transplant complications after unrelated donor transplantation.

  • The permissivity of selected HLA mismatches may not necessarily be the same for bone marrow as for peripheral blood stem cell transplantation from unrelated donors.

  • When multiple otherwise equivalent unrelated donors are available, consideration for permissive TCE-defined HLA-DPB1 mismatches may help to lower the risk of acute GVHD.

  • Minimal criteria for the selection of cord blood units includes low to intermediate resolution of HLA-A and B, and high resolution of HLA-DRB1.

  • Interactions between HLA mismatching and cell dose of the cord blood unit(s) are complex.

  • Multiple HLA mismatches in cord blood units with low cell dose are a high-risk combination of factors that lower the success of cord blood transplantation.

  • HLA-C is a transplantation determinant in cord blood transplantation.

  • KIR genes and haplotypes have clinical significance in transplantation.

Research Agenda.

  • Definition of permissible HLA mismatches in a variety of transplant settings and for patients and donors of diverse ethnic backgrounds: unrelated, haploidentical, cord blood transplantation; myeloablative, reduced-intensity, non-myleoablative conditioning; T-replete and T cell-depleted regimens.

  • Elucidation of the clinical importance of KIR haplotypes and KIR gene diversity.

  • Delineation of novel MHC resident gene variation that contribute to GVHD risk.

Acknowledgments

Dr. Petersdorf is supported by grants CA100019, CA18029, CA162194, and AI069197 from the National Institutes of Health, USA. The study sponsors did not have any role in the collection, analysis, interpretation of data or in the writing of this manuscript.

Footnotes

Conflict of Interest: None.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Dausset J. Leuco-agglutinins IV: leuco-agglutinins and bloodtransfusion. Vox Sang. 1954;4:190–198. [Google Scholar]
  • 2.van Rood JJ, van Leeuwen A. Leukocyte grouping. A method and its application. J Clin Invest. 1963;42:1382–1390. doi: 10.1172/JCI104822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Payne R, Tripp M, Weigle J, Bodmer W, Bodmer J. A new leukocyte isoantigen system in man. Cold Spring Harbor Symp Quant Biol. 1964;29:285–294. doi: 10.1101/sqb.1964.029.01.031. [DOI] [PubMed] [Google Scholar]
  • 4.Amos DB. Human histocompatibility locus HL-A. Science. 1968;159:659–660. doi: 10.1126/science.159.3815.659-a. [DOI] [PubMed] [Google Scholar]
  • 5.Bodmer WF. HLA: what's in a name? A commentary on HLA nomenclature development over the years (Review) Tissue Antigens. 1997;49:293–296. doi: 10.1111/j.1399-0039.1997.tb02758.x. [DOI] [PubMed] [Google Scholar]
  • 6.Marsh SGE, Albert ED, Bodmer WF, et al. An update to HLA nomenclature, 2010. Bone Marrow Transplant. 2010;45:846–848. doi: 10.1038/bmt.2010.79. [DOI] [PubMed] [Google Scholar]
  • 7.Shiina T, Hosomichi K, Inoko H, Kulski JK. The HLA genomic loci map: expression, interaction, diversity and disease (Review) Journal of Human Genetics. 2009;54:15–39. doi: 10.1038/jhg.2008.5. [DOI] [PubMed] [Google Scholar]
  • 8.Storb R, Prentice RL, Hansen JA, Thomas ED. Association between HLA-B antigens and acute graft-versus-host disease. Lancet. 1983;2:816–819. doi: 10.1016/s0140-6736(83)90737-7. [DOI] [PubMed] [Google Scholar]
  • 9.Bross DS, Tutschka PJ, Farmer ER, et al. Predictive factors for acute graft-versus-host disease in patients transplanted with HLA-identical bone marrow. Blood. 1984;63:1265–1270. [PubMed] [Google Scholar]
  • 10.Weisdorf D, Hakke R, Blazar B, et al. Risk factors for acute graft-versus-host disease in histocompatible donor bone marrow transplantation. Transplantation. 1991;51:1197–1203. doi: 10.1097/00007890-199106000-00010. [DOI] [PubMed] [Google Scholar]
  • 11.Smyth LA, Witt CS, Christiansen FT, et al. The MHC influences acute graft versus host disease in MHC matched adults undergoing allogeneic bone marrow transplantation. Bone Marrow Transplant. 1993;12:351–355. [PubMed] [Google Scholar]
  • 12.Martin PJ, Gooley T, Anasetti C, Petersdorf EW, Hansen JA. HLAs and risk of acute graft-vs.-host disease after marrow transplantation from an HLA-identical sibling. Biol Blood Marrow Transplant. 1998;4:128–133. doi: 10.1053/bbmt.1998.v4.pm9923410. [DOI] [PubMed] [Google Scholar]
  • 13.Chapuis B, Von Fliedner VE, Jeannet M, et al. Increased frequency of DR2 in patients with aplastic anaemia and increased DR sharing in their parents. Br J Haematol. 1986;63:51–57. doi: 10.1111/j.1365-2141.1986.tb07494.x. [DOI] [PubMed] [Google Scholar]
  • 14.Nimer SD, Ireland P, Meshkinpour A, Frane M. An increased HLA DR2 frequency is seen in aplastic anemia patients. Blood. 1994;84:923–927. [PubMed] [Google Scholar]
  • 15.Nakao S, Takamatsu H, Chuhjo T, et al. Identification of a specific HLA class II haplotype strongly associated with susceptibility to cyclosporine-dependent aplastic anemia. Blood. 1994;84:4257–4261. [PubMed] [Google Scholar]
  • 16.Saunthararajah Y, Nakamura R, Nam JM, et al. HLA-DR15 (DR2) is overrepresented in myelodysplastic syndrome and aplastic anemia and predicts a response to immunosuppression in myelodysplastic syndrome. Blood. 2002;100:1570–1574. [PubMed] [Google Scholar]
  • 17.Shao W, Tian D, Liu C, Sun X, Zhang X. Aplastic anemia is associated with HLA-DRB1*1501 in northern Han Chinese. Int J Hematol. 2000;71:350–352. [PubMed] [Google Scholar]
  • 18.Maciejewski JP, Follmann D, Nakamura R, et al. Increased frequency of HLA-DR2 in patients with paroxysmal nocturnal hemoglobinuria and the PNH/aplastic anemia syndrome. Blood. 2001;98:3513–3519. doi: 10.1182/blood.v98.13.3513. [DOI] [PubMed] [Google Scholar]
  • 19.Oguz FS, Yalman N, Diler AS, et al. HLA-DRB1*15 and pediatric aplastic anemia. Haematologica. 2002;87:772–774. [PubMed] [Google Scholar]
  • 20.Song EY, Park S, Lee DS, Cho HI, Park MH. Association of human leukocyte antigen-DRB1 alleles with disease susceptibility and severity of aplastic anemia in Korean patients. Hum Immunol. 2008;69:354–359. doi: 10.1016/j.humimm.2008.04.009. [DOI] [PubMed] [Google Scholar]
  • 21.Newell LF, Gooley T, Hansen JA, et al. Tumor necrosis factor polymorphism affects transplantation outcome in patients with myelodysplastic syndrome but not in those with chronic myelogenous leukemia, independent of the presence of HLA-DR15. Biol Blood Marrow Transplant. 2010;16:1700–1706. doi: 10.1016/j.bbmt.2010.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Rugman FP, Ashby D, Davies JM. Does HLA-DR predict response to specific immunosuppressive therapy in aplastic anaemia? Br J Haematol. 1990;74:545–546. doi: 10.1111/j.1365-2141.1990.tb06352.x. [DOI] [PubMed] [Google Scholar]
  • 23.Nakao S, Yamaguchi M, Saito M, et al. HLA-DR2 predicts a favorable response to cyclosporine therapy in patients with bone marrow failure. Am J Hematol. 1992;40:239–240. doi: 10.1002/ajh.2830400319. [DOI] [PubMed] [Google Scholar]
  • 24.Ilhan O, Beksac M, Koc H, et al. HLA-DR frequency in Turkish aplastic anemia patients and the impact of HLA-DR2 positivity in response rate in patients receiving immunosuppressive therapy. Blood. 1995;86:2055. [PubMed] [Google Scholar]
  • 25.Usman M, Adil SN, Moatter T, et al. Increased expression of HLA DR2 in acquired aplastic anemia and its impact on response to immunosuppressive therapy. JPMA - Journal of the Pakistan Medical Association. 2004;54:251–254. [PubMed] [Google Scholar]
  • 26.Battiwalla M, Hahn T, Radovic M, et al. Human leukocyte antigen (HLA) DR15 is associated with reduced incidence of acute GVHD in HLA-matched allogeneic transplantation but does not impact chronic GVHD incidence. Blood. 2006;107:1970–1973. doi: 10.1182/blood-2005-05-1958. [DOI] [PubMed] [Google Scholar]
  • 27.Stern M, Passweg J, Tiercy JM, et al. Human leukocyte antigen DR15 is associated with reduced relapse rate and improved survival after human leukocyte antigen-identical sibling hematopoietic stem cell transplantation. Biol Blood Marrow Transplant. 2006;12:1169–1175. doi: 10.1016/j.bbmt.2006.07.001. [DOI] [PubMed] [Google Scholar]
  • 28.Davidson JA, Tate DG, Poulton KV, et al. HLA-DR15, reduced relapse rate and improved survival after HLA identical sibling hemopoietic stem cell transplantation. Biol Blood Marrow Transplant. 2007;13:493–494. doi: 10.1016/j.bbmt.2006.12.442. [DOI] [PubMed] [Google Scholar]
  • 29.Battiwalla M, Ellis K, Li P, et al. HLA DR15 antigen status does not impact graft-versus-host disease or survival in HLA-matched sibling transplantation for hematologic malignancies. Biol Blood Marrow Transplant. 2012;18:1302–1308. doi: 10.1016/j.bbmt.2012.02.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Parham P. MHC class I molecules and KIRs in human history, health and survival (Review) Nat Rev Immunol. 2005;5:201–214. doi: 10.1038/nri1570. [DOI] [PubMed] [Google Scholar]
  • 31.Tamouza R, Rocha V, Busson M, et al. Association of HLA-E polymorphism with severe bacterial infection and early transplant-related mortality in matched unrelated bone marrow transplantation. Transplantation. 2005;80:140–144. doi: 10.1097/01.tp.0000158711.37550.a0. [DOI] [PubMed] [Google Scholar]
  • 32.Tamouza R, Busson M, Rocha V, et al. Homozygous status for HLA-E*0103 confers protection from acute graft-versus-host disease and transplant-related mortality in HLA-matched sibling hematopoietic stem cell transplantation. Transplantation. 2006;82:1436–1440. doi: 10.1097/01.tp.0000244598.92049.dd. [DOI] [PubMed] [Google Scholar]
  • 33.Hosseini E, Schwarer AP, Ghasemzadeh M. The Impact of HLA-E Polymorphisms in Graft-versus-Host Disease following HLA-E Matched Allogeneic Hematopoietic Stem Cell Transplantation. Iranian Journal of Allergy Asthma & Immunology. 2012;11:15–21. [PubMed] [Google Scholar]
  • 34.Danzer M, Polin H, Proll J, et al. Clinical significance of HLA-E*0103 homozygosity on survival after allogeneic hematopoietic stem-cell transplantation. Transplantation. 2009;88:528–532. doi: 10.1097/TP.0b013e3181b0e79e. [DOI] [PubMed] [Google Scholar]
  • 35.Ludajic K, Rosenmayr A, Fae I, et al. Association of HLA-E polymorphism with the outcome of hematopoietic stem-cell transplantation with unrelated donors. Transplantation. 2009;88:1227–1228. doi: 10.1097/TP.0b013e3181bbb8fe. [DOI] [PubMed] [Google Scholar]
  • 36.Furst D, Bindja J, Arnold R, et al. HLA-E polymorphisms in hematopoietic stem cell transplantation. Tissue Antigens. 2012;79:287–290. doi: 10.1111/j.1399-0039.2011.01832.x. [DOI] [PubMed] [Google Scholar]
  • 37.Boukouaci W, Busson M, Peffault de Latour R, et al. MICA-129 genotype, soluble MICA, and anti-MICA antibodies as biomarkers of chronic graft-versus-host disease. Blood. 2009;114:5216–5224. doi: 10.1182/blood-2009-04-217430. [DOI] [PubMed] [Google Scholar]
  • 38.La Nasa G, Littera R, Locatelli F, et al. The human leucocyte antigen-G 14-basepair polymorphism correlates with graft-versus-host disease in unrelated bone marrow transplantation for thalassaemia. Br J Haematol. 2007;139:284–288. doi: 10.1111/j.1365-2141.2007.06779.x. [DOI] [PubMed] [Google Scholar]
  • 39.Chiusolo P, Bellesi S, Piccirillo N, et al. The role of HLA--G 14-bp polymorphism in allo-HSCT after short-term course MTX for GvHD prophylaxis. Bone Marrow Transplant. 2012;47:120–124. doi: 10.1038/bmt.2011.40. [DOI] [PubMed] [Google Scholar]
  • 40.Boukouaci W, Busson M, Fortier C, et al. Association of HLA-G low expressor genotype with severe acute graft-versus-host disease after sibling bone marrow transplantation. Frontiers in Immunology. 2011;2:74. doi: 10.3389/fimmu.2011.00074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.O'Brien M, McCarthy T, Jenkins D, et al. Altered HLA-G transcription in pre-eclampsia is associated with allele specific inheritance: possible role of the HLA-G gene in susceptibility to the disease. Cellular & Molecular Life Sciences. 2001;58:1943–1949. doi: 10.1007/PL00000828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Hviid TV, Hylenius S, Rorbye C, Nielsen LG. HLA-G allelic variants are associated with differences in the HLA-G mRNA isoform profile and HLA-G mRNA levels. Immunogenetics. 2003;55:63–79. doi: 10.1007/s00251-003-0547-z. [DOI] [PubMed] [Google Scholar]
  • 43.Rousseau P, Le Discorde M, Mouillot G, et al. The 14 bp deletion-insertion polymorphism in the 3′ UT region of the HLA-G gene influences HLA-G mRNA stability. Hum Immunol. 2003;64:1005–1010. doi: 10.1016/j.humimm.2003.08.347. [DOI] [PubMed] [Google Scholar]
  • 44.Keever CA, Leong N, Cunningham I, et al. HLA-B44-directed cytotoxic T cells associated with acute graft-versus-host disease following unrelated bone marrow transplantation. Bone Marrow Transplant. 1994;14:137–145. [PubMed] [Google Scholar]
  • 45.Keever-Taylor CA, Bredeson C, Loberiza FR, et al. Analysis of risk factors for the development of GVHD after T cell-depleted allogeneic BMT: effect of HLA disparity, ABO incompatibility, and method of T-cell depletion. Biol Blood Marrow Transplant. 2001;7:620–630. doi: 10.1053/bbmt.2001.v7.pm11760150. [DOI] [PubMed] [Google Scholar]
  • 46.Nagler A, Brautbar C, Slavin S, Bishara A. Bone marrow transplantation using unrelated and family related donors: the impact of HLA-C disparity. Bone Marrow Transplant. 1996;18:891–897. [PubMed] [Google Scholar]
  • 47.Petersdorf EW, Longton GM, Anasetti C, et al. Definition of HLA-DQ as a transplantation antigen. PNAS. 1996;93:15358–15363. doi: 10.1073/pnas.93.26.15358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Gajewski J, Gjertson D, Cecka M, et al. The impact of T-cell depletion on the effects of HLA DR beta 1 and DQ beta allele matching in HLA serologically identical unrelated donor bone marrow transplantation. Biol Blood Marrow Transplant. 1997;3:76–82. [PubMed] [Google Scholar]
  • 49.Sasazuki T, Juji T, Morishima Y, et al. Effect of matching of class I HLA alleles on clinical outcome after transplantation of hematopoietic stem cells from an unrelated donor. N Engl J Med. 1998;339:1177–1185. doi: 10.1056/NEJM199810223391701. [DOI] [PubMed] [Google Scholar]
  • 50.Petersdorf EW, Gooley TA, Anasetti C, et al. Optimizing outcome after unrelated marrow transplantation by comprehensive matching of HLA class I and II alleles in the donor and recipient. Blood. 1998;92:3515–3520. [PubMed] [Google Scholar]
  • 51.Petersdorf EW, Hansen JA, Martin PJ, et al. Major-histocompatibility-complex class I alleles and antigens in hematopoietic-cell transplantation. N Engl J Med. 2001;345:1794–1800. doi: 10.1056/NEJMoa011826. [DOI] [PubMed] [Google Scholar]
  • 52.Petersdorf EW, Kollman C, Hurley CK, et al. Effect of HLA class II gene disparity on clinical outcome in unrelated donor hematopoietic cell transplantation for chronic myeloid leukemia: the US National Marrow Donor Program experience. Blood. 2001;98:2922–2929. doi: 10.1182/blood.v98.10.2922. [DOI] [PubMed] [Google Scholar]
  • 53.Morishima Y, Sasazuki T, Inoko H, et al. The clinical significance of human leukocyte antigen (HLA) allele compatibility in patients receiving a marrow transplant from serologically HLA-A, HLA-B, and HLA-DR matched unrelated donors. Blood. 2002;99:4200–4206. doi: 10.1182/blood.v99.11.4200. [DOI] [PubMed] [Google Scholar]
  • 54.Flomenberg N, Baxter-Lowe LA, Confer D, et al. Impact of HLA class I and class II high resolution matching on outcomes of unrelated donor bone marrow transplantation: HLA-C mismatching is associated with a strong adverse effect on transplant outcome. Blood. 2004;104:1923–1930. doi: 10.1182/blood-2004-03-0803. [DOI] [PubMed] [Google Scholar]
  • 55.Petersdorf EW, Anasetti C, Martin PJ, et al. Limits of HLA mismatching in unrelated hematopoietic cell transplantation. Blood. 2004;104:2976–2980. doi: 10.1182/blood-2004-04-1674. [DOI] [PubMed] [Google Scholar]
  • 56.Ho VT, Kim HT, Liney D, et al. HLA-C mismatch is associated with inferior survival after unrelated donor non-myeloablative hematopoietic stem cell transplantation. Bone Marrow Transplant. 2006;37:845–850. doi: 10.1038/sj.bmt.1705315. [DOI] [PubMed] [Google Scholar]
  • 57.Chalandon Y, Tiercy JM, Schanz U, et al. Impact of high-resolution matching in allogeneic unrelated donor stem cell transplantation in Switzerland. Bone Marrow Transplant. 2006;37:909–916. doi: 10.1038/sj.bmt.1705353. [DOI] [PubMed] [Google Scholar]
  • 58.Lee SJ, Klein J, Haagenson M, et al. High-resolution donor-recipient HLA matching contributes to the success of unrelated donor marrow transplantation. Blood. 2007;110:4576–4583. doi: 10.1182/blood-2007-06-097386. [DOI] [PubMed] [Google Scholar]
  • 59.Loiseau P, Busson M, Balere M-L, et al. HLA association with hematopoietic stem cell transplantation outcome: the number of mismatches at HLA-A, -B, -C, -DRBI or -DQBI is strongly associated with overall survival. Biol Blood Marrow Transplant. 2007;13:965–974. doi: 10.1016/j.bbmt.2007.04.010. [DOI] [PubMed] [Google Scholar]
  • 60.Bray RA, Hurley CK, Kamani NR, et al. National Marrow Donor Program HLA matching guidelines for unrelated adult hematopoietic cell transplants. Biol Blood Marrow Transplant. 2008;14:45–53. doi: 10.1016/j.bbmt.2008.06.014. [DOI] [PubMed] [Google Scholar]
  • 61.Woolfrey A, Klein JP, Haagenson M, et al. HLA-C antigen mismatch is associated with worse outome in unrelated donor peripheral blood stem cell transplantation. Biol Blood Marrow Transplant. 2011;17:885–892. doi: 10.1016/j.bbmt.2010.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Pawelec G, Ehninger G, Schmidt H, Wernet P. HLA-DP matching and graft-versus-host disease in allogeneic bone marrow transplantation. Transplantation. 1986;42:558–560. erratum appears in Transplantation 1987 Apr;43(4):608. [PubMed] [Google Scholar]
  • 63.al Daccak R, Loiseau P, Rabian C, et al. HLA-DR, DQ, and/or DP genotypic mismatches between recipient-donor pairs in unrelated bone marrow transplantation and transplant clinical outcome. Transplantation. 1990;50:960–964. doi: 10.1097/00007890-199012000-00012. [DOI] [PubMed] [Google Scholar]
  • 64.Kato Y, Mitsuishi Y, Cecka M, et al. HLA-DP incompatibilities and severe graft-versus-host disease in unrelated bone marrow transplants. Transplantation. 1991;52:374–376. [PubMed] [Google Scholar]
  • 65.Varney MD, Lester S, McCluskey J, Gao X, Tait BD. Matching for HLA DPA1 and DPB1 alleles in unrelated bone marrow transplantation. Hum Immunol. 1999;60:532–538. doi: 10.1016/s0198-8859(99)00004-x. [DOI] [PubMed] [Google Scholar]
  • 66.Petersdorf EW, Gooley T, Malkki M, et al. The biological significance of HLA-DP gene variation in haematopoietic cell transplantation. Br J Haematol. 2001;112:988–994. doi: 10.1046/j.1365-2141.2001.02655.x. [DOI] [PubMed] [Google Scholar]
  • 67.Loiseau P, Espérou H, Busson M, et al. DPB1 disparities contribute to severe GVHD and reduced patient survival after unrelated donor bone marrow transplantation. Blood. 2001;98(Part 1):660a–#2766. doi: 10.1038/sj.bmt.1703658. abstract. [DOI] [PubMed] [Google Scholar]
  • 68.Fleischhauer K, Locatelli F, Zecca M, et al. Graft rejection after unrelated donor hematopoietic stem cell transplantation for thalassemia is associated with nonpermissive HLA-DPB1 disparity in host-versus-graft direction. Blood. 2006;107:2984–2992. doi: 10.1182/blood-2005-08-3374. [DOI] [PubMed] [Google Scholar]
  • 69.Shaw BE, Maldonado H, Madrigal JA, et al. Polymorphisms in the TNFA gene promoter region show evidence of strong linkage disequilibrium with HLA and are associated with delayed neutrophil engraftment in unrelated donor hematopoietic stem cell transplantation. Tissue Antigens. 2004;63:401–411. doi: 10.1111/j.0001-2815.2004.00218.x. [DOI] [PubMed] [Google Scholar]
  • 70.Shaw BE, Gooley TA, Malkki M, et al. The importance of HLA-DPB1 in unrelated donor haematopoietic cell transplantation. Blood. 2007;110:4560–4566. doi: 10.1182/blood-2007-06-095265. [DOI] [PubMed] [Google Scholar]
  • 71.Crocchiolo R, Zino E, Vago L, et al. Nonpermissive HLA-DPB1 disparity is a significant independent risk factor for mortality after unrelated hematopoietic stem cell transplantation. Blood. 2009;114:1437–1444. doi: 10.1182/blood-2009-01-200378. [DOI] [PubMed] [Google Scholar]
  • 72.Fleischhauer K, Shaw BE, Gooley T, et al. Effect of T-cell-epitope matching at HLA-DPB1 in recipients of unrelated-donor haemopoietic-cell transplantation: a retrospective study. Lancet Oncol. 2012;13:366–374. doi: 10.1016/S1470-2045(12)70004-9. Erratum appears in Lancet Oncol.2012 Apr;13(4):e134-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Petersdorf EW, Gooley T, Malkki M, Horowitz M. Clinical significance of donor-recipient HLA matching on survival after myeloablative hematopoietic cell transplantation from unrelated donors. Tissue Antigens. 2007;69(Suppl. 1):25–30. doi: 10.1111/j.1399-0039.2006.759_2.x. [DOI] [PubMed] [Google Scholar]
  • 74.Morishima Y, Yabe T, Matsuo K, et al. Effects of HLA allele and killer immunoglobulin-like receptor ligand matching on clinical outcome in leukemia patients undergoing transplantation with T-cell-replete marrow from an unrelated donor. Biol Blood Marrow Transplant. 2007;13:315–328. doi: 10.1016/j.bbmt.2006.10.027. [DOI] [PubMed] [Google Scholar]
  • 75.Ferrara GB, Bacigalupo A, Lamparelli T, et al. Bone marrow transplantation from unrelated donors: the impact of mismatches with substitutions at position 116 of the human leukocyte antigen class I heavy chain. Blood. 2001;98:3150–3155. doi: 10.1182/blood.v98.10.3150. [DOI] [PubMed] [Google Scholar]
  • 76.Kawase T, Morishima Y, Matsuo K, et al. High-risk HLA allele mismatch combinations responsible for severe acute-graft-versus-host disease and implication for its molecular mechanism. Blood. 2007;110:2235–2241. doi: 10.1182/blood-2007-02-072405. [DOI] [PubMed] [Google Scholar]
  • 77.Kawase T, Matsuo K, Kashiwase K, et al. HLA mismatch combinations associated with decreased risk of relapse: implications for the molecular mechanism. Blood. 2009;113:2851–2858. doi: 10.1182/blood-2008-08-171934. [DOI] [PubMed] [Google Scholar]
  • 78.DeLuca DS, Khattab B, Blasczyk R. A modular concept of HLA for comprehensive peptide binding prediction. Immunogenetics. 2007;59:25–35. doi: 10.1007/s00251-006-0176-4. [DOI] [PubMed] [Google Scholar]
  • 79.Baxter-Lowe LA, Maiers M, Spellman SR, et al. HLA-A disparities illustrate challenges for ranking the impact of HLA mismatches on bone marrow transplant outcomes in the United States. Biol Blood Marrow Transplant. 2009;15:971–981. doi: 10.1016/j.bbmt.2009.04.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Yanover C, Petersdorf EW, Malkki M, et al. HLA mismatches and hematopoietic cell transplantation: Structural simulations assess the impact of changes in peptide binding specificity on transplant outcome. Immunome Research. 2011;7:4. doi: 10.4172/1745-7580.1000048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Spellman S, Klein J, Haagenson M, et al. Scoring HLA class I mismatches by HistoCheck does not predict clinical outcome in unrelated hematopoietic stem cell transplantation. Biol Blood Marrow Transplant. 2012;18:739–746. doi: 10.1016/j.bbmt.2011.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Kamani N, Spellman S, Hurley CK, et al. State of the art review: HLA matching and outcome of unrelated donor umbilical cord blood transplants (Review) Biol Blood Marrow Transplant. 2008;14:1–6. doi: 10.1016/j.bbmt.2007.11.003. [DOI] [PubMed] [Google Scholar]
  • 83.Gluckman E. Milestones in umbilical cord blood transplantation (Review) Blood Rev. 2011;25:255–259. doi: 10.1016/j.blre.2011.06.003. [DOI] [PubMed] [Google Scholar]
  • 84.Rubinstein P, Carrier C, Scaradavou A, et al. Outcomes among 562 recipients of placental-blood transplants from unrelated donors. N Engl J Med. 1998;339:1565–1577. doi: 10.1056/NEJM199811263392201. [DOI] [PubMed] [Google Scholar]
  • 85.Gluckman E, Rocha V, Arcese W, et al. Factors associated with outcomes of unrelated cord blood transplant: guidelines for donor choice. Exp Hematol. 2004;32:397–407. doi: 10.1016/j.exphem.2004.01.002. [DOI] [PubMed] [Google Scholar]
  • 86.Kogler G, Enczmann J, Rocha V, Gluckman E, Wernet P. High-resolution HLA typing by sequencing for HLA-A, -B, -C, -DR, -DQ in 122 unrelated cord blood/patient pair transplants hardly improves long-term clinical outcome. Bone Marrow Transplant. 2005;36:1033–1041. doi: 10.1038/sj.bmt.1705189. [DOI] [PubMed] [Google Scholar]
  • 87.Gluckman E, Rocha V. Donor selection for unrelated cord blood transplants (Review) Curr Opin Immunol. 2006;18:565–570. doi: 10.1016/j.coi.2006.07.014. [DOI] [PubMed] [Google Scholar]
  • 88.Eapen M, Rubinstein P, Zhang MJ, et al. Outcomes of transplantation of unrelated donor umbilical cord blood and bone marrow in children with acute leukaemia: a comparison study. Lancet. 2007;369:1947–1954. doi: 10.1016/S0140-6736(07)60915-5. [DOI] [PubMed] [Google Scholar]
  • 89.Kurtzberg J, Prasad VK, Carter SL, et al. Results of the Cord Blood Transplantation Study (COBLT): clinical outcomes of unrelated donor umbilical cord blood transplantation in pediatric patients with hematologic malignancies. Blood. 2008;112:4318–4327. doi: 10.1182/blood-2007-06-098020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Eapen M, Klein JP, Sanz GF, et al. Effect of donor-recipient HLA matching at HLA A, B, C, and DRB1 on outcomes after umbilical-cord blood transplantation for leukaemia and myelodysplastic syndrome: a retrospective analysis. Lancet Oncol. 2011;12:1214–1221. doi: 10.1016/S1470-2045(11)70260-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Wagner JE, Rosenthal J, Sweetman R, et al. Successful transplantation of HLA-matched and HLA-mismatched umbilical cord blood from unrelated donors: analysis of engraftment and acute graft-versus-host disease. Blood. 1996;88:795–802. [PubMed] [Google Scholar]
  • 92.Ohnuma K, Isoyama K, Ikuta K, et al. The influence of HLA genotyping compatibility on clinical outcome after cord blood transplantation from unrelated donors. J Hematother Stem Cell Res. 2000;9:541–550. doi: 10.1089/152581600419224. [DOI] [PubMed] [Google Scholar]
  • 93.Willemze R, Rodrigues CA, Labopin M, et al. KIR-ligand incompatibility in the graft-versus-host direction improves outcomes after umbilical cord blood transplantation for acute leukemia. Leukemia. 2009;23:492–500. doi: 10.1038/leu.2008.365. Erratum appears in Leukemia. 2009 Mar;23(3):630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Brunstein CG, Wagner JE, Weisdorf DJ, et al. Negative effect of KIR alloreactivity in recipients of umbilical cord blood transplant depends on transplantation conditioning intensity. Blood. 2009;113:5628–5634. doi: 10.1182/blood-2008-12-197467. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Laughlin MJ, Barker J, Bambach B, et al. Hematopoietic engraftment and survival in adult recipients of umbilical-cord blood from unrelated donors. N Engl J Med. 2001;344:1815–1822. doi: 10.1056/NEJM200106143442402. [DOI] [PubMed] [Google Scholar]
  • 96.Laughlin MJ, Eapen M, Rubinstein P, et al. Outcomes after transplantation of cord blood or bone marrow from unrelated donors in adults with leukemia. N Engl J Med. 2004;351:2265–2275. doi: 10.1056/NEJMoa041276. [DOI] [PubMed] [Google Scholar]
  • 97.Arcese W, Rocha V, Labopin M, et al. Unrelated cord blood transplants in adults with hematologic malignancies. Haematologica. 2006;91:223–230. [PubMed] [Google Scholar]
  • 98.Wagner JE, Barker JN, Defor TE, et al. Transplantation of unrelated donor umbilical cord blood in 102 patients with malignant and nonmalignant diseases: influence of CD34 cell dose and HLA disparity on treatment-related mortality and survival. Blood. 2002;100:1611–1618. doi: 10.1182/blood-2002-01-0294. [DOI] [PubMed] [Google Scholar]
  • 99.Gluckman E, Rocha V, Boyer-Chammard A, et al. Outcome of cord-blood transplantation from related and unrelated donors. N Engl J Med. 1997;337:373–381. doi: 10.1056/NEJM199708073370602. [DOI] [PubMed] [Google Scholar]
  • 100.Barker JN, Scaradavou A, Stevens CE. Combined effect of total nucleated cell dose and HLA match on transplantation outcome in 1061 cord blood recipients with hematologic malignancies. Blood. 2010;115:1843–1849. doi: 10.1182/blood-2009-07-231068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Rocha V, Locatelli F. Searching for alternative hematopoietic stem cell donors for pediatric patients (Review) Bone Marrow Transplant. 2008;41:207–214. doi: 10.1038/sj.bmt.1705963. [DOI] [PubMed] [Google Scholar]
  • 102.Delaney C, Gutman JA, Appelbaum FR. Cord blood transplantation for haematological malignancies: conditioning regimens, double cord transplant and infectious complications (Review) Br J Haematol. 2009;147:207–216. doi: 10.1111/j.1365-2141.2009.07782.x. [DOI] [PubMed] [Google Scholar]
  • 103.Robinson SN, Simmons PJ, Yang H, et al. Mesenchymal stem cells in ex vivo cord blood expansion (Review) Bailliere's Best Practice in Clinical Haematology. 2011;24:83–92. doi: 10.1016/j.beha.2010.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.de Lima M, McMannis J, Gee A, et al. Transplantation of ex vivo expanded cord blood cells using the copper chelator tetraethylenepentamine: a phase I/II clinical trial. Bone Marrow Transplant. 2008;41:771–778. doi: 10.1038/sj.bmt.1705979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Brunstein CG, Barker JN, Weisdorf DJ, et al. Umbilical cord blood transplantation after nonmyeloablative conditioning: impact on transplantation outcomes in 110 adults with hematologic disease. Blood. 2007;110:3064–3070. doi: 10.1182/blood-2007-04-067215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Claas FH, Gijbels Y, van der Velden-de Munck J, van Rood JJ. Induction of B cell unresponsiveness to noninherited maternal HLA antigens during fetal life. Science. 1988;241:1815–1817. doi: 10.1126/science.3051377. [DOI] [PubMed] [Google Scholar]
  • 107.Burlingham WJ, Grailer AP, Heisey DM, et al. The effect of tolerance to noninherited maternal HLA antigens on the survival of renal transplants from sibling donors. N Engl J Med. 1998;339:1657–1664. doi: 10.1056/NEJM199812033392302. [DOI] [PubMed] [Google Scholar]
  • 108.van Rood JJ, Loberiza FR, Jr, Zhang MJ, et al. Effect of tolerance to noninherited maternal antigens on the occurrence of graft-versus-host disease after bone marrow transplantation from a parent or an HLA-haploidentical sibling. Blood. 2002;99:1572–1577. doi: 10.1182/blood.v99.5.1572. [DOI] [PubMed] [Google Scholar]
  • 109.Obama K, Utsunomiya A, Takatsuka Y, Takemoto Y. Reduced-intensity non-T-cell depleted HLA-haploidentical stem cell transplantation for older patients based on the concept of feto-maternal tolerance. Bone Marrow Transplant. 2004;34:897–899. doi: 10.1038/sj.bmt.1704692. [DOI] [PubMed] [Google Scholar]
  • 110.Shimazaki C, Fuchida S, Ochiai N, et al. Non-T-cell-depleted HLA-haploidentical stem cell transplantation after reduced-intensity conditioning in advanced haematological malignancies based on feto-maternal microchimerism. Br J Haematol. 2004;127:474–475. doi: 10.1111/j.1365-2141.2004.05228.x. [DOI] [PubMed] [Google Scholar]
  • 111.van Rood JJ, Stevens CE, Smits J, et al. Reexposure of cord blood to noninherited maternal HLA antigens improves transplant outcome in hematological malignancies. PNAS. 2009;106:19952–19957. doi: 10.1073/pnas.0910310106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.van Rood JJ, Scaradavou A, Stevens CE. Indirect evidence that maternal michrochimerism in cord blood mediates a graft-versus-leukemia effect in cord blood transplantation. PNAS. 2012;109:2509–2514. doi: 10.1073/pnas.1119541109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Rocha V, Spellman S, Zhang MJ, et al. Effect of HLA-matching recipients to donor noninherited maternal antigens on outcomes after mismatched umbilical cord blood transplantation for hematologic malignancy. Biol Blood Marrow Transplant. 2012 doi: 10.1016/j.bbmt.2012.07.010. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Kasamon YL, Luznik L, Leffell MS, et al. Nonmyeloablative HLA-haploidentical bone marrow transplantation with high-dose posttransplantation cyclophosphamide: effect of HLA disparity on outcome. Biol Blood Marrow Transplant. 2010;16:482–489. doi: 10.1016/j.bbmt.2009.11.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Mathe G, Amiel JL, Schwarzenberg L, et al. Successful allogeneic bone marrow transplantation in man: chimerism, induced specific tolerance and possible anti-leukemia effects. Blood. 1965;25:179–196. [PubMed] [Google Scholar]
  • 116.Aversa F, Tabilio A, Terenzi A, et al. Successful engraftment of T-cell-depleted haploidentical “three-loci” incompatible transplants in leukemia patients by addition of recombinant human granulocyte colony-stimulating factor-mobilized peripheral blood progenitor cells to bone marrow inoculum. Blood. 1994;84:3948–3955. [PubMed] [Google Scholar]
  • 117.Aversa F, Tabilio A, Velardi A, et al. Treatment of high-risk acute leukemia with T-cell-depleted stem cells from related donors with one fully mismatched HLA haplotype. N Engl J Med. 1998;339:1186–1193. doi: 10.1056/NEJM199810223391702. [DOI] [PubMed] [Google Scholar]
  • 118.Ruggeri L, Capanni M, Urbani E, et al. Effectiveness of donor natural killer cell alloreactivity in mismatched hematopoietic transplants. Science. 2002;295:2097–2100. doi: 10.1126/science.1068440. [DOI] [PubMed] [Google Scholar]
  • 119.Cook MA, Milligan DW, Fegan CD, et al. The impact of donor KIR and patient HLA-C genotypes on outcome following HLA-identical sibling hematopoietic stem cell transplantation for myeloid leukemia. Blood. 2004;103:1521–1526. doi: 10.1182/blood-2003-02-0438. [DOI] [PubMed] [Google Scholar]
  • 120.Passweg JR, Stern M, Koehl U, Uharek L, Tichelli A. Use of natural killer cells in hematopoetic stem cell transplantation (Review) Bone Marrow Transplant. 2005;35:637–643. doi: 10.1038/sj.bmt.1704810. [DOI] [PubMed] [Google Scholar]
  • 121.Davies SM, Ruggieri L, DeFor T, et al. Evaluation of KIR ligand incompatibility in mismatched unrelated donor hematopoietic transplants. Killer immunoglobulin-like receptor. Blood. 2002;100:3825–3827. doi: 10.1182/blood-2002-04-1197. [DOI] [PubMed] [Google Scholar]
  • 122.Giebel S, Locatelli F, Lamparelli T, et al. Survival advantage with KIR ligand incompatibility in hematopoietic stem cell transplantation from unrelated donors. Blood. 2003;102:814–819. doi: 10.1182/blood-2003-01-0091. [DOI] [PubMed] [Google Scholar]
  • 123.Bornhauser M, Schwerdtfeger R, Martin H, et al. Role of KIR ligand incompatibility in hematopoietic stem cell transplantation using unrelated donors. Blood. 2004;103:2860–2861. doi: 10.1182/blood-2003-11-3893. [DOI] [PubMed] [Google Scholar]
  • 124.Schaffer M, Malmberg KJ, Ringden O, Ljunggren HG, Remberger M. Increased infection-related mortality in KIR-ligand-mismatched unrelated allogeneic hematopoietic stem-cell transplantation. Transplantation. 2004;78:1081–1085. doi: 10.1097/01.tp.0000137103.19717.86. [DOI] [PubMed] [Google Scholar]
  • 125.Leung W, Iyengar R, Turner V, et al. Determinants of antileukemia effects of allogeneic NK cells. J Immunol. 2004;172:644–650. doi: 10.4049/jimmunol.172.1.644. [DOI] [PubMed] [Google Scholar]
  • 126.Beelen DW, Ottinger HD, Ferencik S, et al. Genotypic inhibitory killer immunoglobulin-like receptor ligand incompatibility enhances the long-term antileukemic effect of unmodified allogeneic hematopoietic stem cell transplantation in patients with myeloid leukemias. Blood. 2005;105:2594–2600. doi: 10.1182/blood-2004-04-1441. [DOI] [PubMed] [Google Scholar]
  • 127.Sun JY, Gaidulis L, Dagis A, et al. Killer Ig-like receptor (KIR) compatibility plays a role in the prevalence of acute GVHD in unrelated hematopoietic cell transplants for AML. Bone Marrow Transplant. 2005;36:525–530. doi: 10.1038/sj.bmt.1705089. [DOI] [PubMed] [Google Scholar]
  • 128.Hsu KC, Keever-Taylor CA, Wilton A, et al. Improved outcome in HLA-identical sibling hematopoietic stem cell transplantation for acute myelogenous leukemia (AML) predicted by KIR and HLA genotypes. Blood. 2005;105:4878–4884. doi: 10.1182/blood-2004-12-4825. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Farag SS, Bacigalupo A, Eapen M, et al. The effect of KIR ligand incompatibility on the outcome of unrelated donor transplantation: a report from the Center for International Blood and Marrow Transplant Research, the European Blood and Marrow Transplant Registry, and the Dutch Registry. Biol Blood Marrow Transplant. 2006;12:876–884. doi: 10.1016/j.bbmt.2006.05.007. [DOI] [PubMed] [Google Scholar]
  • 130.Hsu KC, Gooley T, Malkki M, et al. KIR ligands and prediction of relapse after unrelated donor hematopoietic cell transplantation for hematologic malignancy. Biol Blood Marrow Transplant. 2006;12:828–836. doi: 10.1016/j.bbmt.2006.04.008. [DOI] [PubMed] [Google Scholar]
  • 131.Sun JY, Dagis A, Gaidulis L, et al. Detrimental effect of natural killer cell alloreactivity in T-replete hematopoietic cell transplantation (HCT) for leukemia patients. Biol Blood Marrow Transplant. 2007;13:197–205. doi: 10.1016/j.bbmt.2006.09.009. [DOI] [PubMed] [Google Scholar]
  • 132.Ruggeri L, Mancusi A, Capanni M, et al. Donor natural killer cell allorecognition of missing self in haploidentical hematopoietic transplantation for acute myeloid leukemia: challenging its predictive value. Blood. 2007;110:433–440. doi: 10.1182/blood-2006-07-038687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Miller JS, Cooley S, Parham P, et al. Missing KIR-ligands is associated with less relapse and increased graft versus host disease (GVHD) following unrelated donor allogeneic HCT. Blood. 2007;109:5058–5061. doi: 10.1182/blood-2007-01-065383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Valiante NM, Uhrberg M, Shilling HG, et al. Functionally and structurally distinct NK cell receptor repertoires in the peripheral blood of two human donors. Immunity. 1997;7:739–751. doi: 10.1016/s1074-7613(00)80393-3. [DOI] [PubMed] [Google Scholar]
  • 135.Witt CS, Dewing C, Sayer DC, et al. Population frequencies and putative haplotypes of the killer cell immunoglobulin-like receptor sequences and evidence for recombination. Transplantation. 1999;68:1784–1789. doi: 10.1097/00007890-199912150-00024. [DOI] [PubMed] [Google Scholar]
  • 136.Toneva M, Lepage V, Lafay G, et al. Genomic diversity of natural killer cell receptor genes in three populations. Tissue Antigens. 2001;57:358–362. doi: 10.1034/j.1399-0039.2001.057004358.x. [DOI] [PubMed] [Google Scholar]
  • 137.Norman PJ, Carrington CV, Byng M, et al. Natural killer cell immunoglobulin-like receptor (KIR) locus profiles in African and South Asian populations. Genes & Immunity. 2002;3:86–95. doi: 10.1038/sj.gene.6363836. [DOI] [PubMed] [Google Scholar]
  • 138.Hsu KC, Chida S, Geraghty DE, Dupont B. The killer cell immunoglobulin-like receptor (KIR) genomic region: gene-order, haplotypes and allelic polymorphism (Review) Immunol Rev. 2002;190:40–52. doi: 10.1034/j.1600-065x.2002.19004.x. [DOI] [PubMed] [Google Scholar]
  • 139.Marsh SG, Parham P, Dupont B, et al. Killer-cell immunoglobulin-like receptor (KIR) nomenclature report, 2002. Immunogenetics. 2003;55:220–226. doi: 10.1007/s00251-003-0571-z. [DOI] [PubMed] [Google Scholar]
  • 140.Denis L, Sivula J, Gourraud PA, et al. Genetic diversity of KIR natural killer cell markers in populations from France, Guadeloupe, Finland, Senegal and Reunion. Tissue Antigens. 2005;66:267–276. doi: 10.1111/j.1399-0039.2005.00473.x. [DOI] [PubMed] [Google Scholar]
  • 141.Cooley S, Weisdorf DJ, Guethlein LA, et al. Donor selection for natural killer cell receptor genes leads to superior survival after unrelated transplantation for acute myelogenous leukemia. Blood. 2010;116:2411–2419. doi: 10.1182/blood-2010-05-283051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Stringaris K, Adams S, Uribe M, et al. Donor KIR Genes 2DL5A, 2DS1 and 3DS1 are associated with a reduced rate of leukemia relapse after HLA-identical sibling stem cell transplantation for acute myeloid leukemia but not other hematologic malignancies. Biol Blood Marrow Transplant. 2010;16:1257–1264. doi: 10.1016/j.bbmt.2010.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.McQueen KL, Dorighi KM, Guethlein LA, et al. Donor-recipient combinations of group A and B KIR haplotypes and HLA class I ligand affect the outcome of HLA-matched, sibling donor hematopoietic cell transplantation. Hum Immunol. 2007;68:309–323. doi: 10.1016/j.humimm.2007.01.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Chen C, Busson M, Rocha V, et al. Activating KIR genes are associated with CMV reactivation and survival after non-T-cell depleted HLA-identical sibling bone marrow transplantation for malignant disorders. Bone Marrow Transplant. 2006;38:437–444. doi: 10.1038/sj.bmt.1705468. [DOI] [PubMed] [Google Scholar]
  • 145.Venstrom JM, Gooley TA, Spellman S, et al. Donor activating KIR3DS1 is associated with decreased acute GVHD in unrelated allogeneic hematopoietic stem cell transplantation. Blood. 2010;115:3162–3165. doi: 10.1182/blood-2009-08-236943. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Cooley S, Trachtenberg E, Bergemann TL, et al. Donors with group B KIR haplotypes improve relapse-free survival after unrelated hematopoietic cell transplantation for acute myelogenous leukemia. Blood. 2009;113:726–732. doi: 10.1182/blood-2008-07-171926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Symons HJ, Leffell MS, Rossiter ND, et al. Improved survival with inhibitory killer immunoglobulin receptor (KIR) gene mismatches and KIR haplotype B donors after nonmyeloablative, HLA-haploidentical bone marrow transplantation. Biol Blood Marrow Transplant. 2010;16:533–542. doi: 10.1016/j.bbmt.2009.11.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Kroger N, Binder T, Zabelina T, et al. Low number of donor activating killer immunoglobulin-like receptors (KIR) genes but not KIR-ligand mismatch prevents relapse and improves disease-free survival in leukemia patients after in vivo T-cell depleted unrelated stem cell transplantation. Transplantation. 2006;82:1024–1030. doi: 10.1097/01.tp.0000235859.24513.43. [DOI] [PubMed] [Google Scholar]
  • 149.Parmar S, Del Lima M, Zou Y, et al. Donor-recipient mismatches in MHC class I chain-related gene A in unrelated donor transplantation lead to increased incidence of acute graft-versus-host disease. Blood. 2009;114:2884–2887. doi: 10.1182/blood-2009-05-223172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Anderson E, Grzywacz B, Wang H, et al. Limited role of MHC class I chain-related gene A (MICA) typing in assessing graft-versus-host disease risk after fully human leukocyte antigen-matched unrelated donor transplantation. Blood. 2009;114:4753–4754. doi: 10.1182/blood-2009-08-239301. [DOI] [PubMed] [Google Scholar]
  • 151.Trowsdale J. HLA genomics in the third millennium (Review) Curr Opin Immunol. 2005;17:498–504. doi: 10.1016/j.coi.2005.07.015. [DOI] [PubMed] [Google Scholar]
  • 152.Yunis EJ, Larsen CE, Fernandez-Viña M, et al. Inheritable variable sizes of DNA stretches in the human MHC: conserved extended haplotypes and their fragments or blocks. Tissue Antigens. 2003;62:1–20. doi: 10.1034/j.1399-0039.2003.00098.x. [DOI] [PubMed] [Google Scholar]
  • 153.High-Resolution HLA Alleles and Haplotypes in the US Population. [Accessed [date]];Bioinformatics - National Marrow Donor Program® (NMDP) 2012 http://bioinformatics.nmdp.org/HLA/Haplotype_Frequencies/High_Res_HLA_Alleles_US_Pop/High-Resolution_HLA_Alleles_and_Haplotypes_in_the_US_Population.aspx.
  • 154.Dawkins R, Leelayuwat C, Gaudieri S, et al. Genomics of the major histocompatibility complex: haplotypes, duplication, retroviruses and disease (Review) Immunol Rev. 1999;167:275–304. doi: 10.1111/j.1600-065x.1999.tb01399.x. [DOI] [PubMed] [Google Scholar]
  • 155.Jeffreys AJ, Kauppi L, Neumann R. Intensely punctate meiotic recombination in the class II region of the major histocompatibility complex. Nat Genet. 2001;29:217–222. doi: 10.1038/ng1001-217. [DOI] [PubMed] [Google Scholar]
  • 156.Allcock RJ, Atrazhev AM, Beck S, et al. The MHC haplotype project: a resource for HLA-linked association studies (Review) Tissue Antigens. 2002;59:520–521. doi: 10.1034/j.1399-0039.2002.590609.x. [DOI] [PubMed] [Google Scholar]
  • 157.Ahmad T, Neville M, Marshall SE, et al. Haplotype-specific linkage disequilibrium patterns define the genetic topography of the human MHC. Hum Mol Genet. 2003;12:647–656. [PubMed] [Google Scholar]
  • 158.Walsh EC, Mather KA, Schaffner SF, et al. An integrated haplotype map of the human major histocompatibility complex. Am J Hum Genet. 2003;73:580–590. doi: 10.1086/378101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Miretti MM, Walsh EC, Ke X, et al. A high-resolution linkage-disequilibrium map of the human major histocompatibility complex and first generation of tag single-nucleotide polymorphisms. Am J Hum Genet. 2005;76:634–646. doi: 10.1086/429393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Smith WP, Vu Q, Li SS, et al. Toward understanding MHC disease associations: partial resequencing of 46 distinct HLA haplotypes. Genomics. 2006;87:561–571. doi: 10.1016/j.ygeno.2005.11.020. [DOI] [PubMed] [Google Scholar]
  • 161.Traherne JA. Human MHC architecture and evolution: implications for disease association studies (Review) International Journal of Immunogenetics. 2008;35:179–192. doi: 10.1111/j.1744-313X.2008.00765.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Baschal EE, Aly TA, Jasinski JM, et al. Defining multiple common “completely” conserved major histocompatibility complex SNP haplotypes. Clinical Immunology. 2009;132:203–214. doi: 10.1016/j.clim.2009.03.530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Morishima S, Ogawa S, Matsubara A, et al. Impact of highly conserved HLA haplotype on acute graft-versus-host disease. Blood. 2010;115:4664–4670. doi: 10.1182/blood-2009-10-251157. [DOI] [PubMed] [Google Scholar]
  • 164.Awdeh ZL, Raum D, Yunis EJ, Alper CA. Extended HLA/complement allele haplotypes: evidence for T/t-like complex in man. Proc Natl Acad Sci USA. 1983;80:259–263. doi: 10.1073/pnas.80.1.259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Degli-Esposti MA, Leaver AL, Christiansen FT, et al. Ancestral haplotypes: conserved population MHC haplotypes. Hum Immunol. 1992;34:242–252. doi: 10.1016/0198-8859(92)90023-g. [DOI] [PubMed] [Google Scholar]
  • 166.D'Alfonso S, Borelli I, Dall'Omo A, et al. The natural history of an HLA haplotype and its recombinants. Immunogenetics. 1998;48:8–15. doi: 10.1007/s002510050394. [DOI] [PubMed] [Google Scholar]
  • 167.Baena A, Mootnick AR, Falvo JV, et al. Primate TNF promoters reveal markers of phylogeny and evolution of innate immunity. PLoS ONE [Electronic Resource] 2007;2:e621. doi: 10.1371/journal.pone.0000621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Tay GK, Witt CS, Christiansen FT, et al. Matching for MHC haplotypes results in improved survival following unrelated bone marrow transplantation. Bone Marrow Transplant. 1995;15:381–385. [PubMed] [Google Scholar]
  • 169.Ketheesan N, Gaudieri S, Witt CS, et al. Reconstruction of the block matching profiles. Hum Immunol. 1999;60:171–176. doi: 10.1016/s0198-8859(98)00103-7. [DOI] [PubMed] [Google Scholar]
  • 170.Guo Z, Hood L, Malkki M, Petersdorf EW. Long-range multilocus haplotype phasing of the MHC. PNAS. 2006;103:6964–6969. doi: 10.1073/pnas.0602286103. erratum appears in Proc Natl Acad Sci U S A. 2006 Jun 13;103(24):9374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Petersdorf EW, Malkki M, Gooley TA, Martin PJ, Guo Z. MHC haplotype matching for unrelated hematopoietic cell transplantation. PLoS Medicine. 2007;4:e8. doi: 10.1371/journal.pmed.0040008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Donis-Keller H, Green P, Helms C, et al. A genetic linkage map of the human genome. Cell. 1987;51:319–337. doi: 10.1016/0092-8674(87)90158-9. [DOI] [PubMed] [Google Scholar]
  • 173.Stallings RL, Ford AF, Nelson D, et al. Evolution and distribution of (GT)n repetitive sequences in mammalian genomes. Genomics. 1991;10:807–815. doi: 10.1016/0888-7543(91)90467-s. [DOI] [PubMed] [Google Scholar]
  • 174.Schlotterer C, Tautz D. Slippage synthesis of simple sequence DNA. Nucleic Acids Res. 1992;20:211–215. doi: 10.1093/nar/20.2.211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Davies JL, Kawaguchi Y, Bennett ST, et al. A genome-wide search for human type 1 diabetes susceptibility genes. Nature. 1994;371:130–136. doi: 10.1038/371130a0. [DOI] [PubMed] [Google Scholar]
  • 176.Martin M, Mann D, Carrington M. Recombination rates across the HLA complex: use of microsatellites as a rapid screen for recombinant chromosomes. Hum Mol Genet. 1995;4:423–428. doi: 10.1093/hmg/4.3.423. erratum appears in Hum Mol Genet 1995 Dec;4(12):2423. [DOI] [PubMed] [Google Scholar]
  • 177.Martin MP, Harding A, Chadwick R, et al. Characterization of 12 microsatellite loci of the human MHC in a panel of reference cell lines. Immunogenetics. 1998;47:131–138. doi: 10.1007/s002510050338. erratum appears in Immunogenetics 1998 May;47(6):503. [DOI] [PubMed] [Google Scholar]
  • 178.Carrington M, Marti D, Wade J, et al. Microsatellite markers in complex disease: mapping disease-associated regions within the human major histocompatibility complex. In: Goldstein DB, Schlötterer C, editors. Microsatellites: Evolution and Applications. New York: Oxford University Press; 1999. pp. 225–237. [Google Scholar]
  • 179.Foissac A, Fort ML, Giraldo P, et al. Microsatellites in the HLA region: potential applications in bone marrow transplantation. Transplant Proc. 1997;29:2374–2375. doi: 10.1016/s0041-1345(97)00408-9. [DOI] [PubMed] [Google Scholar]
  • 180.Carrington M, Wade J. Selection of transplant donors based on MHC microsatellite data. Hum Immunol. 1996;50:151–154. doi: 10.1016/0198-8859(96)00118-8. [DOI] [PubMed] [Google Scholar]
  • 181.Malkki M, Gooley TA, Horowitz MM, et al. Mapping MHC-resident transplantation determinants. Biol Blood Marrow Transplant. 2007;13:986–995. doi: 10.1016/j.bbmt.2007.05.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Li S, Kawata H, Katsuyama Y, et al. Association of polymorphic MHC microsatellites with GVHD, survival, and leukemia relapse in unrelated hematopoietic stem cell transplant donor/recipient pairs matched at five HLA loci. Tissue Antigens. 2004;63:362–368. doi: 10.1111/j.0001-2815.2004.00200.x. [DOI] [PubMed] [Google Scholar]
  • 183.Bettens F, Passweg J, Schanz U, et al. Impact of HLA-DPB1 haplotypes on outcome of 10/10 matched unrelated hematopoietic stem cell donor transplants depends on MHC-linked microsatellite polymorphisms. Biol Blood Marrow Transplant. 2012;18:608–616. doi: 10.1016/j.bbmt.2011.09.011. [DOI] [PubMed] [Google Scholar]
  • 184.Wang DG, Fan JB, Siao CJ, et al. Large-scale identification, mapping, and genotyping of single-nucleotide polymorphisms in the human genome. Science. 1998;280:1077–1082. doi: 10.1126/science.280.5366.1077. [DOI] [PubMed] [Google Scholar]
  • 185.Reich DE, Cargill M, Bolk S, et al. Linkage disequilibrium in the human genome. Nature. 2001;411:199–204. doi: 10.1038/35075590. [DOI] [PubMed] [Google Scholar]
  • 186.Kruglyak L. Prospects for whole-genome linkage disequilibrium mapping of common disease genes. Nat Genet. 1999;22:139–144. doi: 10.1038/9642. [DOI] [PubMed] [Google Scholar]
  • 187.Kruglyak L. The use of a genetic map of biallelic markers in linkage studies. Nat Genet. 1997;17:21–24. doi: 10.1038/ng0997-21. [DOI] [PubMed] [Google Scholar]
  • 188.Cullup H, Dickinson AM, Jackson GH, et al. Donor interleukin 1 receptor antagonist genotype associated with acute graft-versus-host disease in human leucocyte antigen-matched sibling allogeneic transplants. Br J Haematol. 2001;113:807–813. doi: 10.1046/j.1365-2141.2001.02811.x. [DOI] [PubMed] [Google Scholar]
  • 189.Socie G, Loiseau P, Tamouza R, et al. Both genetic and clinical factors predict the development of graft-versus-host disease after allogeneic hematopoietic stem cell transplantation. Transplantation. 2001;72:699–706. doi: 10.1097/00007890-200108270-00024. [DOI] [PubMed] [Google Scholar]
  • 190.Cavet J, Dickinson AM, Norden J, et al. Interferon-gamma and interleukin-6 gene polymorphisms associate with graft-versus-host disease in HLA-matched sibling bone marrow transplantation. Blood. 2001;98:1594–1600. doi: 10.1182/blood.v98.5.1594. [DOI] [PubMed] [Google Scholar]
  • 191.Rocha V, Franco RF, Porcher R, et al. Host defense and inflammatory gene polymorphisms are associated with outcomes after HLA-identical sibling bone marrow transplantation. Blood. 2002;100:3908–3918. doi: 10.1182/blood-2002-04-1033. [DOI] [PubMed] [Google Scholar]
  • 192.MacMillan ML, Radloff GA, Defor TE, Weisdorf DJ, Davies SM. Interleukin-1 genotype and outcome of unrelated donor bone marrow transplantation. Br J Haematol. 2003;121:597–604. doi: 10.1046/j.1365-2141.2003.04314.x. [DOI] [PubMed] [Google Scholar]
  • 193.Cullup H, Dickinson AM, Cavet J, Jackson GH, Middleton PG. Polymorphisms of interleukin-1alpha constitute independent risk factors for chronic graft-versus-host disease after allogeneic bone marrow transplantation. Br J Haematol. 2003;122:778–787. doi: 10.1046/j.1365-2141.2003.04510.x. [DOI] [PubMed] [Google Scholar]
  • 194.Reddy P, Ferrara JL. Immunobiology of acute graft-versus-host disease (Review) Blood Rev. 2003;17:187–194. doi: 10.1016/s0268-960x(03)00009-2. [DOI] [PubMed] [Google Scholar]
  • 195.Dickinson AM, Middleton PG. Beyond the HLA typing age: genetic polymorphisms predicting transplant outcome (Review) Blood Rev. 2005;19:333–340. doi: 10.1016/j.blre.2005.04.001. [DOI] [PubMed] [Google Scholar]
  • 196.Mullighan CG, Bardy PG. New directions in the genomics of allogeneic hematopoietic stem cell transplantation. Biol Blood Marrow Transplant. 2007;13:127–144. doi: 10.1016/j.bbmt.2006.10.018. [DOI] [PubMed] [Google Scholar]
  • 197.Holler E, Rogler G, Brenmoehl J, et al. The role of genetic variants of NOD2/CARD15, a receptor of the innate immune system, in GvHD and complications following related and unrelated donor haematopoietic stem cell transplantation. International Journal of Immunogenetics. 2008;35:381–384. doi: 10.1111/j.1744-313X.2008.00795.x. [DOI] [PubMed] [Google Scholar]
  • 198.Tseng L-H, Storer B, Petersdorf E, et al. IL10 and IL10 receptor gene variation and outcomes after unrelated and related hematopoietic cell transplantation. Transplantation. 2009;87:704–710. doi: 10.1097/TP.0b013e318195c474. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Ferrara JL. The cytokine modulation of acute graft-versus-host disease (Review) Bone Marrow Transplant. 1998;21(Suppl. 3):S13–S15. [PubMed] [Google Scholar]
  • 200.Morgan GJ, Adamson PJ, Mensah FK, et al. Haplotypes in the tumour necrosis factor region and myeloma. Br J Haematol. 2005;129:358–365. doi: 10.1111/j.1365-2141.2005.05467.x. [DOI] [PubMed] [Google Scholar]
  • 201.Nedospasov SA, Udalova IA, Kuprash DV, Turetskaya RL. DNA sequence polymorphism at the human tumor necrosis factor (TNF) locus. Numerous TNF/lymphotoxin alleles tagged by two closely linked microsatellites in the upstream region of the lymphotoxin (TNF-beta) gene. J Immunol. 1991;147:1053–1059. [PubMed] [Google Scholar]
  • 202.Udalova IA, Nedospasov SA, Webb GC, Chaplin DD, Turetskaya RL. Highly informative typing of the human TNF locus using six adjacent polymorphic markers. Genomics. 1993;16:180–186. doi: 10.1006/geno.1993.1156. [DOI] [PubMed] [Google Scholar]
  • 203.Schots R, Kaufman L, Van R, et al. Proinflammatory cytokines and their role in the development of major transplant-related complications in the early phase after allogeneic bone marrow transplantation. Leukemia. 2003;17:1150–1156. doi: 10.1038/sj.leu.2402946. [DOI] [PubMed] [Google Scholar]
  • 204.Middleton PG, Taylor PRA, Jackson G, Proctor SJ, Dickinson AM. Cytokine gene polymorphisms associating with severe acute graft-versus-host disease in HLA-identical sibling transplants. Blood. 1998;92:3943–3948. [PubMed] [Google Scholar]
  • 205.Takahashi H, Furukawa T, Hashimoto S, et al. Contribution of TNF-alpha and IL-10 gene polymorphisms to graft-versus-host disease following allo-hematopoietic stem cell transplantation. Bone Marrow Transplant. 2000;26:1317–1323. doi: 10.1038/sj.bmt.1702724. [DOI] [PubMed] [Google Scholar]
  • 206.Tambur AR, Yaniv I, Stein J, et al. Cytokine gene polymorphism in patients with graft-versus-host disease. Transplant Proc. 2001;33:502–503. doi: 10.1016/s0041-1345(00)02112-6. [DOI] [PubMed] [Google Scholar]
  • 207.Kogler G, Middleton PG, Wilke M, et al. Recipient cytokine genotypes for TNF-alpha and IL-10 and the minor histocompatibility antigens HY and CD31 codon 125 are not associated with occurrence or severity of acute GVHD in unrelated cord blood transplantation: a retrospective analysis. Transplantation. 2002;74:1167–1175. doi: 10.1097/00007890-200210270-00019. [DOI] [PubMed] [Google Scholar]
  • 208.Bogunia-Kubik K, Polak M, Lange A. TNF polymorphisms are associated with toxic but not with aGVHD complications in the recipients of allogeneic sibling haematopoietic stem cell transplantation. Bone Marrow Transplant. 2003;32:617–622. doi: 10.1038/sj.bmt.1704200. [DOI] [PubMed] [Google Scholar]
  • 209.Keen LJ, Defor TE, Bidwell JL, et al. Interleukin-10 and tumor necrosis factor alpha region haplotypes predict transplant-related mortality after unrelated donor stem cell transplantation. Blood. 2004;103:3599–3602. doi: 10.1182/blood-2002-11-3568. [DOI] [PubMed] [Google Scholar]
  • 210.Bertinetto FE, Dall'Omo AM, Mazzola GA, et al. Role of non-HLA genetic polymorphisms in graft-versus-host disease after haematopoietic stem cell transplantation. International Journal of Immunogenetics. 2006;33:375–384. doi: 10.1111/j.1744-313X.2006.00630.x. [DOI] [PubMed] [Google Scholar]
  • 211.Shah R, Selby ST, Yokley B, et al. TNF, LTA and TGFB1 genotype distributions among acute graft-vs-host disease subsets after HLA-matched unrelated hematopoietic stem cell transplantation: a pilot study. Tissue Antigens. 2009;74:50–56. doi: 10.1111/j.1399-0039.2009.01257.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212.Harkensee C, Oka A, Onizuka M, et al. Single nucleotide polymorphisms and outcome risk in unrelated mismatched hematopoietic stem cell transplantation: an exploration study. Blood. 2012;119:6365–6372. doi: 10.1182/blood-2012-01-406785. [DOI] [PubMed] [Google Scholar]
  • 213.Srivastava PK, Udono H, Blachere NE, Li Z. Heat shock proteins transfer peptides during antigen processing and CTL priming (Review) Immunogenetics. 1994;39:93–98. doi: 10.1007/BF00188611. [DOI] [PubMed] [Google Scholar]
  • 214.Asea A, Kraeft SK, Kurt-Jones EA, et al. HSP70 stimulates cytokine production through a CD14-dependant pathway, demonstrating its dual role as a chaperone and cytokine. Nat Med. 2000;6:435–442. doi: 10.1038/74697. [DOI] [PubMed] [Google Scholar]
  • 215.Goral J, Shenoy S, Mohanakumar T, Clancy J., Jr Antibodies to 70 kD and 90 kD heat shock proteins are associated with graft-versus-host disease in peripheral blood stem cell transplant recipients. Clin Exp Immunol. 2002;127:553–559. doi: 10.1046/j.1365-2249.2002.01770.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 216.Jarvis M, Marzolini M, Wang XN, et al. Heat shock protein 70: correlation of expression with degree of graft-versus-host response and clinical graft-versus-host disease. Transplantation. 2003;76:849–853. doi: 10.1097/01.TP.0000083556.73555.78. [DOI] [PubMed] [Google Scholar]
  • 217.Bogunia-Kubik K, Lange A. HSP70-hom gene polymorphism in allogeneic hematopoietic stem-cell transplant recipients correlates with the development of acute graft-versus-host disease. Transplantation. 2005;79:815–820. doi: 10.1097/01.tp.0000153157.97736.2c. [DOI] [PubMed] [Google Scholar]
  • 218.Petersdorf EW, Malkki M, Gooley TA, et al. MHC-resistant variation affects risks after unrelated donor hematopoietic cell transplantation. Science Translational Medicine. 2012;4:144ra101. doi: 10.1126/scitranslmed.3003974. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES