Immunogenetics in stem cell donor registry work: The DKMS example (Part 1)
Autor: | David Means, Tobias Riethmüller, Vinzenz Lange, Ute V. Solloch, Gabi Rall, Gerhard Schöfl, Helen Kelly, Johannes Schetelig, Andreas Keller, Jessica Daiss, Patrick Paul, Tigran Torosian, Stephan Schumacher, Jürgen Sauter, Anja Klussmeier, Thomas Schäfer, Jan Markert, A. S. Giani, Thilo Mengling, Alexander H. Schmidt, Jan A. Hofmann, Monika Füssel, Daniel M. Baier, Latha Jagannathan, Sabine Hildebrand, Julia Pingel |
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Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
DKMS Immunology India Review Immunogenetics Human leukocyte antigen HLA Antigens Unrelated Donor Germany Genetics medicine Humans Registries Chile Review Articles Molecular Biology Genetics (clinical) donor registry Hla haplotypes business.industry Histocompatibility Testing unrelated hematopoietic stem cell transplantation Hematopoietic Stem Cell Transplantation High-Throughput Nucleotide Sequencing General Medicine United Kingdom United States HLA Genetics Population Haplotypes Family medicine Stem cell donor Poland Stem cell Unrelated Donors business |
Zdroj: | International Journal of Immunogenetics |
ISSN: | 1744-313X 1744-3121 |
Popis: | Currently, stem cell donor registries include more than 35 million potential donors worldwide to provide HLA‐matched stem cell products for patients in need of an unrelated donor transplant. DKMS is a leading stem cell donor registry with more than 9 million donors from Germany, Poland, the United States, the United Kingdom, India and Chile. DKMS donors have donated hematopoietic stem cells more than 80,000 times. Many aspects of donor registry work are closely related to topics from immunogenetics or population genetics. In this two‐part review article, we describe, analyse and discuss these areas of donor registry work by using the example of DKMS. Part 1 of the review gives a general overview on DKMS and includes typical donor registry activities with special focus on the HLA system: high‐throughput HLA typing of potential stem cell donors, HLA haplotype frequencies and resulting matching probabilities, and donor file optimization with regard to HLA diversity. |
Databáze: | OpenAIRE |
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