Toward an optimal global stem cell donor recruitment strategy.

Population-specific matching probabilities (MP) are a key parameter to assess the benefits of unrelated stem cell donor registries and the need for further donor recruitment efforts. In this study, we describe a general framework for MP estimations of specific and mixed patient populations under con...

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Main Authors: Alexander H Schmidt, Jürgen Sauter, Julia Pingel, Gerhard Ehninger
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3907384?pdf=render
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spelling doaj-99eda2b6e65244cd968b88bbdd2c5e9d2020-11-25T01:19:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0191e8660510.1371/journal.pone.0086605Toward an optimal global stem cell donor recruitment strategy.Alexander H SchmidtJürgen SauterJulia PingelGerhard EhningerPopulation-specific matching probabilities (MP) are a key parameter to assess the benefits of unrelated stem cell donor registries and the need for further donor recruitment efforts. In this study, we describe a general framework for MP estimations of specific and mixed patient populations under consideration of international stem cell donor exchange. Calculations were based on population-specific 4-locus (HLA-A, -B, -C, -DRB1) high-resolution haplotype frequencies (HF) of up to 21 populations. In various scenarios, we calculated several quantities of high practical relevance, including the maximal MP that can be reached by recruiting a fixed number of donors, the corresponding optimal composition by population of new registrants, and the minimal number of donors who need to be recruited to reach a defined MP. Starting at current donor numbers, the largest MP increases due to n = 500,000 additional same-population donors were observed for patients from Bosnia-Herzegovina (+0.25), Greece (+0.21) and Romania (+0.20). Especially small MP increases occurred for European Americans (+0.004), Germans (+0.01) and Hispanic Americans (+0.01). Due to the large Chinese population, the optimal distribution of n = 5,000,000 new donors worldwide included 3.9 million Chinese donors. As a general result of our calculations, we observed a need for same-population donor recruitment in order to increase population-specific MP efficiently. This result was robust despite limitations of our input data, including the use of HF derived from relatively small samples ranging from n = 1028 (Bosnia-Herzegovina) to n = 33,083 (Turkey) individuals. National strategies that neglect domestic donor recruitment should therefore be critically re-assessed, especially if only few donors have been recruited so far.http://europepmc.org/articles/PMC3907384?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Alexander H Schmidt
Jürgen Sauter
Julia Pingel
Gerhard Ehninger
spellingShingle Alexander H Schmidt
Jürgen Sauter
Julia Pingel
Gerhard Ehninger
Toward an optimal global stem cell donor recruitment strategy.
PLoS ONE
author_facet Alexander H Schmidt
Jürgen Sauter
Julia Pingel
Gerhard Ehninger
author_sort Alexander H Schmidt
title Toward an optimal global stem cell donor recruitment strategy.
title_short Toward an optimal global stem cell donor recruitment strategy.
title_full Toward an optimal global stem cell donor recruitment strategy.
title_fullStr Toward an optimal global stem cell donor recruitment strategy.
title_full_unstemmed Toward an optimal global stem cell donor recruitment strategy.
title_sort toward an optimal global stem cell donor recruitment strategy.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description Population-specific matching probabilities (MP) are a key parameter to assess the benefits of unrelated stem cell donor registries and the need for further donor recruitment efforts. In this study, we describe a general framework for MP estimations of specific and mixed patient populations under consideration of international stem cell donor exchange. Calculations were based on population-specific 4-locus (HLA-A, -B, -C, -DRB1) high-resolution haplotype frequencies (HF) of up to 21 populations. In various scenarios, we calculated several quantities of high practical relevance, including the maximal MP that can be reached by recruiting a fixed number of donors, the corresponding optimal composition by population of new registrants, and the minimal number of donors who need to be recruited to reach a defined MP. Starting at current donor numbers, the largest MP increases due to n = 500,000 additional same-population donors were observed for patients from Bosnia-Herzegovina (+0.25), Greece (+0.21) and Romania (+0.20). Especially small MP increases occurred for European Americans (+0.004), Germans (+0.01) and Hispanic Americans (+0.01). Due to the large Chinese population, the optimal distribution of n = 5,000,000 new donors worldwide included 3.9 million Chinese donors. As a general result of our calculations, we observed a need for same-population donor recruitment in order to increase population-specific MP efficiently. This result was robust despite limitations of our input data, including the use of HF derived from relatively small samples ranging from n = 1028 (Bosnia-Herzegovina) to n = 33,083 (Turkey) individuals. National strategies that neglect domestic donor recruitment should therefore be critically re-assessed, especially if only few donors have been recruited so far.
url http://europepmc.org/articles/PMC3907384?pdf=render
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