Homozygous carriers of CCR5-Δ32, a gene variant of CC-type chemokine receptor 5 (CCR5), are highly resistant to infections with human immunodeficiency virus type 1 (HIV-1) and therefore preferred stem cell donors for HIV-infected patients. We analyzed CCR5 typing data of 1,333,035 potential hematopoietic stem cell donors enlisted with three national DKMS donor centers. Allele and genotype frequencies were determined for 87 countries of origin as self-assessed by the donors. CCR5-Δ32 allele frequencies ranged from 16.4% in the Norwegian sample to 0 in donors from Ethiopia. The highest CCR5-Δ32/Δ32 genotype frequency was found in the sample from the Faroe Islands (2.3%), whereas in 27 samples, predominantly of donors from Africa, Asia and South America, none of the individuals carried this genotype. The characteristic CCR5-Δ32 allele frequency decline from Northern to Southeastern Eurasia supports findings of earlier studies. With available HLA haplotype frequency information for the patient's ethnicity, our data allows upfront estimation of the probability that an HLA-matched donor with CCR5-Δ32/Δ32 genotype can be found for a patient in need of hematopoietic stem cell transplantation.
The impact of the highly polymorphic Killer-cell immunoglobulin-like receptor (KIR) gene cluster on the outcome of hematopoietic stem cell transplantation (HCST) is subject of current research. To further understand the involvement of this gene family into Natural Killer (NK) cell-mediated graft-versus-leukemia reactions, knowledge of haplotype structures, and allelic linkage is of importance. In this analysis, we estimate population-specific KIR haplotype frequencies at allele group resolution in a cohort of n = 458 German families. We addressed the polymorphism of the KIR gene complex and phasing ambiguities by a combined approach. Haplotype inference within first-degree family relations allowed us to limit the number of possible diplotypes. Structural restriction to a pattern set of 92 previously described KIR copy number haplotypes further reduced ambiguities. KIR haplotype frequency estimation was finally accomplished by means of an expectation-maximization algorithm. Applying a resolution threshold of ½ n, we were able to identify a set of 551 KIR allele group haplotypes, representing 21 KIR copy number haplotypes. The haplotype frequencies allow studying linkage disequilibrium in two-locus as well as in multi-locus analyses. Our study reveals associations between KIR haplotype structures and allele group frequencies, thereby broadening our understanding of the KIR gene complex.
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