Development and validation of a universal blood donor genotyping platform: a multinational prospective study

Author:

Gleadall Nicholas S.12ORCID,Veldhuisen Barbera34,Gollub Jeremy5,Butterworth Adam S.678ORCID,Ord John12,Penkett Christopher J.19ORCID,Timmer Tiffany C.1011ORCID,Sauer Carolin M.12ORCID,van der Bolt Nieke3ORCID,Brown Colin13ORCID,Brugger Kim14,Dilthey Alexander T.1516ORCID,Duarte Daniel19,Grimsley Shane17,van den Hurk Katja10,Jongerius John M.18,Luken Jessie4,Megy Karyn19ORCID,Miflin Gail19,Nelson Christopher S.5,Prinsze Femmeke J.10ORCID,Sambrook Jennifer19,Simeoni Ilenia19,Sweeting Michael6720ORCID,Thornton Nicole17ORCID,Trompeter Sara1921ORCID,Tuna Salih19ORCID,Varma Ram5,Walker Matthew R.67,Danesh John67822,Roberts David J.72324,Ouwehand Willem H.12722ORCID,Stirrups Kathleen E.19ORCID,Rendon Augusto125,Westhoff Connie M.26ORCID,Di Angelantonio Emanuele678,van der Schoot C. Ellen3,Astle William J.2727ORCID,Watkins Nicholas A.2,Lane William J.2829ORCID,

Affiliation:

1. Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom;

2. NHS Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom;

3. Department of Experimental Immunohematology, Sanquin Research and Landsteiner Laboratory, Amsterdam University Medical Center (AUMC), Amsterdam, The Netherlands;

4. Department of Diagnostic Immunohematology, Sanquin Diagnostic Services, Amsterdam, The Netherlands;

5. Thermo Fisher Scientific, Santa Clara, CA;

6. British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom;

7. National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom;

8. Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom;

9. NIHR BioResource, Cambridge University Hospitals, Cambridge Biomedical Campus, Cambridge, United Kingdom;

10. Department of Donor Medicine Research–Donor Studies, Sanquin Research, Amsterdam, The Netherlands;

11. Department of Public Health and Landsteiner Laboratory, AUMC, University of Amsterdam, Amsterdam, The Netherlands;

12. Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom;

13. Histocompatibility and Immunogenetics Laboratory, NHS Blood and Transplant–Colindale Centre, London, United Kingdom;

14. Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway;

15. Institute of Medical Microbiology, University Hospital of Dusseldorf, Dusseldorf, Germany;

16. Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD;

17. International Blood Group Reference Laboratory, NHS Blood and Transplant, Bristol, United Kingdom;

18. National Screening Laboratory, Sanquin Research and Laboratory Services, Sanquin Research, Amsterdam, The Netherlands;

19. NHS Blood and Transplant, London, United Kingdom;

20. Department of Health Sciences, University of Leicester, Leicester, United Kingdom;

21. University College London NHS Foundation Trust, London, United Kingdom;

22. Department of Human Genetics, Wellcome Sanger Institute, Hinxton, United Kingdom;

23. NHS Blood and Transplant, Oxford, United Kingdom;

24. NIHR Oxford Biomedical Research Centre-Haematology Theme and Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom;

25. Genomics England, London, United Kingdom;

26. Immunohematology and Genomics, New York Blood Center, New York;

27. MRC Biostatistics Unit, Cambridge Biomedical Campus, Cambridge, United Kingdom;

28. Department of Pathology, Brigham and Women's Hospital, Boston, MA; and

29. Harvard Medical School, Boston, MA

Abstract

Abstract Each year, blood transfusions save millions of lives. However, under current blood-matching practices, sensitization to non–self-antigens is an unavoidable adverse side effect of transfusion. We describe a universal donor typing platform that could be adopted by blood services worldwide to facilitate a universal extended blood-matching policy and reduce sensitization rates. This DNA-based test is capable of simultaneously typing most clinically relevant red blood cell (RBC), human platelet (HPA), and human leukocyte (HLA) antigens. Validation was performed, using samples from 7927 European, 27 South Asian, 21 East Asian, and 9 African blood donors enrolled in 2 national biobanks. We illustrated the usefulness of the platform by analyzing antibody data from patients sensitized with multiple RBC alloantibodies. Genotyping results demonstrated concordance of 99.91%, 99.97%, and 99.03% with RBC, HPA, and HLA clinically validated typing results in 89 371, 3016, and 9289 comparisons, respectively. Genotyping increased the total number of antigen typing results available from 110 980 to >1 200 000. Dense donor typing allowed identification of 2 to 6 times more compatible donors to serve 3146 patients with multiple RBC alloantibodies, providing at least 1 match for 176 individuals for whom previously no blood could be found among the same donors. This genotyping technology is already being used to type thousands of donors taking part in national genotyping studies. Extraction of dense antigen-typing data from these cohorts provides blood supply organizations with the opportunity to implement a policy of genomics-based precision matching of blood.

Publisher

American Society of Hematology

Subject

Hematology

Reference46 articles.

1. European Blood Alliance . EBA Annual Report. Amsterdam, The Netherlands: EBA; 2015. Available at: https://www.europeanbloodalliance.eu/wp-content/uploads/2016/05/EBA_annual_report_2015.pdf. Accessed 5 December 2019.

2. AABB Technical Manual;Mayr;Vox Sang,2003

3. Stochastic modeling of human RBC alloimmunization: evidence for a distinct population of immunologic responders;Higgins;Blood,2008

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