{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T03:44:09Z","timestamp":1791776649282,"version":"4.3.4"},"reference-count":42,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T00:00:00Z","timestamp":1698969600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009708","name":"Novo Nordisk Fonden","doi-asserted-by":"publisher","award":["nnf14cc0001"],"award-info":[{"award-number":["nnf14cc0001"]}],"id":[{"id":"10.13039\/501100009708","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009708","name":"Novo Nordisk Fonden","doi-asserted-by":"publisher","award":["nnf17oc0027594"],"award-info":[{"award-number":["nnf17oc0027594"]}],"id":[{"id":"10.13039\/501100009708","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Transfusion"],"published-print":{"date-parts":[[2023,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Accurate blood type data are essential for blood bank management, but due to costs, few of 43 blood group systems are routinely determined in Danish blood banks. However, a more comprehensive dataset of blood types is useful in scenarios such as rare blood type allocation. We aimed to investigate the viability and accuracy of predicting blood types by leveraging an existing dataset of imputed genotypes for two cohorts of approximately 90,000 each (Danish Blood Donor Study and Copenhagen Biobank) and present a more comprehensive overview of blood types for our Danish donor cohort.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Design and Methods<\/jats:title><jats:p>Blood types were predicted from genome array data using known variant determinants. Prediction accuracy was confirmed by comparing with preexisting serological blood types. The Vel blood group was used to test the viability of using genetic prediction to narrow down the list of candidate donors with rare blood types.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Predicted phenotypes showed a high balanced accuracy &gt;99.5% in most cases: A, B, C\/c, Co<jats:sup>a<\/jats:sup>\/Co<jats:sup>b<\/jats:sup>, Do<jats:sup>a<\/jats:sup>\/Do<jats:sup>b<\/jats:sup>, E\/e, Jk<jats:sup>a<\/jats:sup>\/Jk<jats:sup>b<\/jats:sup>, Kn<jats:sup>a<\/jats:sup>\/Kn<jats:sup>b<\/jats:sup>, Kp<jats:sup>a<\/jats:sup>\/Kp<jats:sup>b<\/jats:sup>, M\/N, S\/s, Sd<jats:sup>a<\/jats:sup>, Se, and Yt<jats:sup>a<\/jats:sup>\/Yt<jats:sup>b<\/jats:sup>, while some performed slightly worse: Fy<jats:sup>a<\/jats:sup>\/Fy<jats:sup>b<\/jats:sup>, K\/k, Lu<jats:sup>a<\/jats:sup>\/Lu<jats:sup>b<\/jats:sup>, and Vel ~99%\u201398% and C<jats:sup>W<\/jats:sup> and P<jats:sub>1<\/jats:sub> ~96%. Genetic prediction identified 70 potential Vel negatives in our cohort, 64 of whom were confirmed correct using polymerase chain reaction (negative predictive value: 91.5%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>High genetic prediction accuracy in most blood groups demonstrated the viability of generating blood types using preexisting genotype data at no cost and successfully narrowed the pool of potential individuals with the rare Vel\u2010negative phenotype from 180,000 to 70.<\/jats:p><\/jats:sec>","DOI":"10.1111\/trf.17575","type":"journal-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T09:04:33Z","timestamp":1699002273000},"page":"2297-2310","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Genetic prediction of 33 blood group phenotypes using an existing genotype dataset"],"prefix":"10.1111","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7905-9774","authenticated-orcid":false,"given":"Camous","family":"Moslemi","sequence":"first","affiliation":[{"name":"Department of Clinical Immunology Zealand University Hospital  K\u00f8ge Denmark"},{"name":"Department of Clinical Immunology Aarhus University Hospital  Aarhus Denmark"},{"name":"Department of Science and Environment Roskilde University  Roskilde Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susanne G.","family":"S\u00e6kmose","sequence":"additional","affiliation":[{"name":"Department of Clinical Immunology Zealand University Hospital  K\u00f8ge Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rune","family":"Larsen","sequence":"additional","affiliation":[{"name":"Department of Clinical Immunology Zealand University Hospital  K\u00f8ge Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jakob T.","family":"Bay","sequence":"additional","affiliation":[{"name":"Department of Clinical Immunology Zealand University Hospital  K\u00f8ge Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4431-9972","authenticated-orcid":false,"given":"Thorsten","family":"Brodersen","sequence":"additional","affiliation":[{"name":"Department of Clinical Immunology Zealand University Hospital  K\u00f8ge Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4856-496X","authenticated-orcid":false,"given":"Maria","family":"Didriksen","sequence":"additional","affiliation":[{"name":"Department of Clinical Immunology Copenhagen University Hospital, Rigshopitalet  Copenhagen Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henrik","family":"Hjalgrim","sequence":"additional","affiliation":[{"name":"Danish Cancer Society Research Center  Copenhagen 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