RESUMO
Regional HLA frequency differences are of potential relevance for the optimization of stem cell donor recruitment. We analyzed a very large sample (nâ=â123,749) of registered Polish stem cell donors. Donor figures by 1-digit postal code regions ranged from nâ=â5,243 (region 9) to nâ=â19,661 (region 8). Simulations based on region-specific haplotype frequencies showed that donor recruitment in regions 0, 2, 3 and 4 (mainly located in the south-eastern part of Poland) resulted in an above-average increase of matching probabilities for Polish patients. Regions 1, 7, 8, 9 (mainly located in the northern part of Poland) showed an opposite behavior. However, HLA frequency differences between regions were generally small. A strong indication for regionally focused donor recruitment efforts can, therefore, not be derived from our analyses. Results of haplotype frequency estimations showed sample size effects even for sizes between n≈5,000 and n≈20,000. This observation deserves further attention as most published haplotype frequency estimations are based on much smaller samples.
Assuntos
Variação Genética , Antígenos HLA/genética , Células-Tronco/metabolismo , Doadores de Tecidos , Alelos , Feminino , Frequência do Gene , Geografia , Antígenos HLA/imunologia , Haplótipos , Teste de Histocompatibilidade , Humanos , Masculino , Polônia , Sistema de Registros , Células-Tronco/imunologiaRESUMO
We present high-resolution allele and haplotype frequency (HF) estimations of the Polish population based on more than 20,000 registered stem cell donors. Sequencing-based donor human leukocyte antigen (HLA) typing led to unambiguous typing results in most cases (between 94.3% for HLA-DRB1 and 96.9% for HLA-B). HF estimations were carried out with a new, validated implementation of the expectation-maximization algorithm that allowed processing of data with ambiguities. Our results confirm several earlier results, for example, the relative commonness of the haplotype A*25:01 g, B*18:01 g, C*12:03, DRB1*04:01 in the Polish population. Because of the large sample size, we were able to obtain results of unprecedented accuracy. The estimated population-specific HFs were then used to analyze questions of strategic donor registry planning. Simulated matching probabilities by donor file size suggest that there is a need for intense donor recruitment efforts in Poland despite the large German donor registry and the genetic relatedness of both populations. Based on the current German registry size of approximately 4 million donors, the recruitment of 100,000 Polish donors would produce a stronger increase in matching probabilities for Polish patients than the recruitment of 3.3 million additional German donors.