Estimation of HLA-A, -B, -DRB1 Haplotype Frequencies Using Mixed Resolution Data from a National Registry with Selective Retyping of Volunteers

Kollman, Craig; Maiers, Martin; Gragert, Loren; Müller, Carlheinz; Setterholm, Michelle; Oudshoorn, Machteld; Hurley, Carolyn Katovich

doi:10.1016/j.humimm.2007.10.009

Cited by 76 publications

(72 citation statements)

References 31 publications

(39 reference statements)

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“…For the rest, the 2 lists were compared (checking up to 800 000 combinations per pair) to find all possible haploidentical combinations and to calculate the conditional probability of each haplotype triplet according to an established algorithm. 32,33 Mismatches at low resolution were directly observable and counted as allele mismatches. For each HLA match defined only at low resolution, we used the respective probability to be matched at high resolution: if it was $95%, we classified the respective locus to be matched, if it was #5%, we classified the locus to be mismatched.…”

Section: Hla-matching Statusmentioning

confidence: 99%

The impact of HLA matching on outcomes of unmanipulated haploidentical HSCT is modulated by GVHD prophylaxis

Lorentino¹,

Labopin

Fleischhauer

et al. 2017

Blood Advances

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Key Points• In unmanipulated haplo-HSCT, antigenic HLA-DRB1 match, stem cell source, conditioning, and donor sex are associated with GVHD.• The role of HLAmatching status and other factors influencing alloreactivity is more prominent with PTCy compared to ATG GVHD prophylaxis.Haploidentical hematopoietic stem cell transplantation (haplo-HSCT) with unmanipulated grafts is increasingly adopted for high-risk acute leukemia, with acute graft-versus-host Moreover, the hazards of aGVHD were significantly associated with other factors influencing alloreactivity, including peripheral blood as stem cell source (HR, 2.2; 95% CI, 1.4-3; P , .01), reduced-intensity conditioning (HR, 0.6; 95% CI, 0.4-0.9; P 5 .04), and female donors (HR, 1.8; 95% CI, 1-3.2; P 5 .05), in PTCy but not ATG regimens. No significant associations were found between cumulative number of HLA mismatches and GVHD, or between HLA-matching status and other study end points including transplant-related mortality, disease-free survival, and relapse. Based on these data, the role of HLA mismatching on unshared haplotype appears not to be sufficiently prominent to justify its consideration in haploidentical donor selection. However, the role of HLA matching in haploidentical HSCT might be modulated by GVHD prophylaxis, calling for further investigations in this increasingly relevant field.

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Section: Hla-matching Statusmentioning

confidence: 99%

The impact of HLA matching on outcomes of unmanipulated haploidentical HSCT is modulated by GVHD prophylaxis

Lorentino¹,

Labopin

Fleischhauer

et al. 2017

Blood Advances

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show abstract

“…In a 1997 paper, M. Mori et al [22] used a sample of about 400,000 registrants who had been typed at the HLA-A, HLA-B, and DRB-1 loci in order to estimate the distribution of haplotypes in several racial subgroups of the U.S. population. More recently, Kollman et al [21] estimated haplotype using a larger sample of about two million registrants, including 1.2 million European-Americans, 250,000 Asian-Americans, 280,000 African-Americans, and 320,000 Hispanics.…”

Section: Genetic Background and Data Sourcesmentioning

confidence: 99%

“…We use the Kollman estimates [21] of HLA haplotype frequencies within each race to construct corresponding estimates of the distribution of HLA phenotypes in the population for persons whose parents are of any two specified races. To accomplish this, we assume that matching is random with respect to HLA type.…”

Section: Estimating Phenotype Distributionsmentioning

confidence: 99%

“…For example, our estimates suggest that the probability that a random self-reported white will match another randomly selected white is 34 times that of matching a random Asian-American, 16 times that of matching a random African-American, and 6 times that of matching a random Hispanic. Our computations are based on the Kollman et al [21] estimates of the distribution of haplotypes within each race, which depend on two critical assumptions about marriage patterns. The first is that racial groups are endogamous (marriage occurs almost entirely within races).…”

Section: Racial Categories and Hla Matchingmentioning

confidence: 99%

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Stem Cell Donor Matching for Patients of Mixed Race

Bergstrom¹,

Garratt²,

Sheehan‐Connor³

2012

The B.E. Journal of Economic Analysis &Amp; Policy

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The plight of mixed-race leukemia patients unable to find stem cell donors with matching immunity types has received much media attention. Because of small samples, direct estimation of the distribution of immunity types for persons of mixed race has not been possible. However, because the alleles that control immunity type are located close together on a single chromosome, it is possible to estimate the distribution of types for mixed races, by using existing estimates of haplotype distributions for single races. We provide such estimates and calculate probabilities that persons of specific mixed-race combinations can find a match in the existing registry of potential donors. We also estimate probabilities that adding mixed-race donors to the registry will result in a life-saving match for a patient in need of a transplant and we compare the benefits and costs of adding new registrants of specified race or mixed race to the registry.

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“…The probability that such a match can be found depends upon the distribution of immunity types, which varies by race and ethnicity. Because the type distributions are extremely diffuse, they cannot be determined by simply sampling individuals from the population, but methods have been developed for estimating the prevalence of even very rare types (Mori et al, 1997;Kollman et al, 2007). Evaluating the marginal benefits of expanding registries and cord blood banks requires determining how much the probability of finding a match will increase with further additions of registrants and cord blood units.…”

Section: Related Researchmentioning

confidence: 99%

Saving lives with stem cell transplants

2015

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Blood stem cell transplants can be life-saving for some patients, but the chances of finding a matching donor are small unless a large number of potential donors are evaluated. Many nations maintain large registries of potential donors who have offered to donate stem cells if they are the best available match for a patient needing a transplant. An alternative source of stem cells, umbilical cord blood, is stored in banks. Everyone faces a small probability of needing a transplant which will increase their likelihood of survival. The registries and cord blood banks are thus an interesting example of a pure public good with widely dispersed benefits. This paper explores the gains in survival probability that arise from increased registry and bank sizes and uses value of statistical life methods to estimate benefits and compare them to costs. Our results suggest that for the United States and for the world as a whole, the sum of marginal benefits of an increase in either the adult registry or the cord blood bank exceeds marginal costs. However, marginal benefit-cost ratios for the adult registry are much greater than those for the cord blood banks, which suggests that to the extent that these two sources of life saving compete for public funds it may be preferable to prioritize expansion of the adult registry over cord blood banks.

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Estimation of HLA-A, -B, -DRB1 Haplotype Frequencies Using Mixed Resolution Data from a National Registry with Selective Retyping of Volunteers

Cited by 76 publications

References 31 publications

The impact of HLA matching on outcomes of unmanipulated haploidentical HSCT is modulated by GVHD prophylaxis

The impact of HLA matching on outcomes of unmanipulated haploidentical HSCT is modulated by GVHD prophylaxis

Stem Cell Donor Matching for Patients of Mixed Race

Saving lives with stem cell transplants

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