Literature DB >> 19683023

Estimation of high-resolution HLA-A, -B, -C, -DRB1 allele and haplotype frequencies based on 8862 German stem cell donors and implications for strategic donor registry planning.

Alexander H Schmidt1, Daniel Baier, Ute V Solloch, Andrea Stahr, Nezih Cereb, Ralf Wassmuth, Gerhard Ehninger, Claudia Rutt.   

Abstract

Human leukocyte antigen (HLA) haplotype frequency distributions in specific populations can be applied to optimize both individual stem cell donor searches and donor registry planning. We present allele and haplotype frequencies derived from a data set of 8862 German stem cell donors who were typed at high resolution for the HLA-A, HLA-B, HLA-C, and HLA-DRB1 genes upon registration. Calculated haplotype frequencies were used to estimate the probability p to find matching donors subject to donor registry size n. The impact of various matching standards on p(n) was analyzed. When high-resolution matching for HLA-A, HLA-B, HLA-C, and HLA-DRB1 is required, p(1,000,000) is 0.678. The corresponding value for n = 7,000,000 is 0.859. In a scenario with low-resolution matching and no consideration of HLA-C, p(1,000,000) is 0.863 and thus larger than p(7,000,000) in the scenario with stricter matching requirements. As recent findings support the importance of high-resolution matching of HLA-A, HLA-B, HLA-C, and HLA-DRB1 for outcomes of hematopoietic stem cell transplantation, our results are highly relevant for strategic planning and resource allocation of donor centers and registries.

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Year:  2009        PMID: 19683023     DOI: 10.1016/j.humimm.2009.08.006

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  49 in total

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Journal:  N Engl J Med       Date:  2011-03-24       Impact factor: 91.245

2.  A one-step DNA sequencing strategy to HLA type hematopoietic stem cell donors at recruitment - rethinking typing strategies.

Authors:  B Tu; N Cha; R Yang; J Ng; C K Hurley
Journal:  Tissue Antigens       Date:  2013-03

3.  Profiling the repertoire of T-cell receptor beta-chain variable genes in peripheral blood lymphocytes from subjects who have recovered from acute hepatitis B virus infection.

Authors:  Jiezuan Yang; Jiajia Chen; Jianqin He; Yirui Xie; Yixing Zhu; Hongcui Cao; Lanjuan Li
Journal:  Cell Mol Immunol       Date:  2014-07       Impact factor: 11.530

4.  The role of HLA-A*33:01 in patients with cholestatic hepatitis attributed to terbinafine.

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Journal:  J Hepatol       Date:  2018-08-21       Impact factor: 25.083

Review 5.  Tools for building, analyzing and evaluating HLA haplotypes from families.

Authors:  Kazutoyo Osoegawa; Steven J Mack; Matthew Prestegaard; Marcelo A Fernández-Viña
Journal:  Hum Immunol       Date:  2019-02-05       Impact factor: 2.850

6.  Higher frequencies of HLA DQB1*05:01 and anti-glycosphingolipid antibodies in a cluster of severe Guillain-Barré syndrome.

Authors:  L Schirmer; V Worthington; U Solloch; V Loleit; V Grummel; N Lakdawala; D Grant; R Wassmuth; A H Schmidt; F Gebhardt; T F M Andlauer; J Sauter; A Berthele; M P Lunn; Bernhard Hemmer
Journal:  J Neurol       Date:  2016-08-02       Impact factor: 4.849

7.  Marriage does not relate to major histocompatibility complex: a genetic analysis based on 3691 couples.

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Journal:  Proc Biol Sci       Date:  2020-10-07       Impact factor: 5.349

8.  The effect of NIMA matching in adult unrelated mismatched hematopoietic stem cell transplantation - a joint study of the Acute Leukemia Working Party of the EBMT and the CIBMTR.

Authors:  Julia Pingel; Tao Wang; Yvonne Hagenlocher; Camila J Hernández-Frederick; Arnon Nagler; Michael D Haagenson; Katharina Fleischhauer; Katharine C Hsu; Michael R Verneris; Stephanie J Lee; Mohamad Mohty; Emmanuelle Polge; Stephen R Spellman; Alexander H Schmidt; Jon J van Rood
Journal:  Bone Marrow Transplant       Date:  2018-10-02       Impact factor: 5.483

9.  Allele polymorphism and haplotype diversity of HLA-A, -B and -DRB1 loci in sequence-based typing for Chinese Uyghur ethnic group.

Authors:  Chun-mei Shen; Bo-feng Zhu; Ya-jun Deng; Shi-hui Ye; Jiang-wei Yan; Guang Yang; Hong-dan Wang; Hai-xia Qin; Qi-zhao Huang; Jing-Jing Zhang
Journal:  PLoS One       Date:  2010-11-04       Impact factor: 3.240

10.  16(th) IHIW: immunogenomic data-management methods. report from the immunogenomic data analysis working group (IDAWG).

Authors:  J A Hollenbach; C Holcomb; C K Hurley; A Mabdouly; M Maiers; J A Noble; J Robinson; A H Schmidt; L Shi; V Turner; Y Yao; S J Mack
Journal:  Int J Immunogenet       Date:  2012-12-26       Impact factor: 1.466

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