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Genetic prediction ...
Genetic prediction of 33 blood group phenotypes using an existing genotype dataset
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- Moslemi, Camous (författare)
- Aarhus University Hospital,Zealand University Hospital
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- Sækmose, Susanne G. (författare)
- Zealand University Hospital
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- Larsen, Rune (författare)
- Zealand University Hospital
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- Bay, Jakob T. (författare)
- Zealand University Hospital
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- Brodersen, Thorsten (författare)
- Zealand University Hospital
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- Didriksen, Maria (författare)
- Copenhagen University Hospital
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- Hjalgrim, Henrik (författare)
- Danish Cancer Society
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- Banasik, Karina (författare)
- Novo Nordisk Foundation Center for Protein Research
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- Nielsen, Kaspar R. (författare)
- Aalborg University Hospital
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- Bruun, Mie T. (författare)
- Odense University Hospital
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- Dowsett, Joseph (författare)
- Copenhagen University Hospital
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- Dinh, Khoa M. (författare)
- Aarhus University Hospital
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- Mikkelsen, Susan (författare)
- Aarhus University Hospital
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- Mikkelsen, Christina (författare)
- Copenhagen University Hospital,Novo Nordisk Foundation Centre for Basic Metabolic Research
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- Hansen, Thomas F. (författare)
- Copenhagen University Hospital,Novo Nordisk Foundation Center for Protein Research
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- Ullum, Henrik (författare)
- Danish Serum Institute, Copenhagen
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- Erikstrup, Christian (författare)
- Aarhus University Hospital
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- Brunak, Søren (författare)
- Novo Nordisk Foundation Center for Protein Research
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- Krogfelt, Karen Angeliki (författare)
- Zealand University Hospital
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- Storry, Jill R. (författare)
- Lund University,Lunds universitet,Avdelningen för hematologi och transfusionsmedicin,Institutionen för laboratoriemedicin,Medicinska fakulteten,Transfusionsmedicin,Forskargrupper vid Lunds universitet,Division of Hematology and Transfusion Medicine,Department of Laboratory Medicine,Faculty of Medicine,Transfusion Medicine,Lund University Research Groups,Region Skåne
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- Ostrowski, Sisse R. (författare)
- Copenhagen University Hospital,University of Copenhagen
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- Olsson, Martin L. (författare)
- Lund University,Lunds universitet,Avdelningen för hematologi och transfusionsmedicin,Institutionen för laboratoriemedicin,Medicinska fakulteten,Transfusionsmedicin,Forskargrupper vid Lunds universitet,Division of Hematology and Transfusion Medicine,Department of Laboratory Medicine,Faculty of Medicine,Transfusion Medicine,Lund University Research Groups,Region Skåne
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- Pedersen, Ole B. (författare)
- Zealand University Hospital,University of Copenhagen
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(creator_code:org_t)
- 2023
- 2023
- Engelska.
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Ingår i: Transfusion. - 0041-1132. ; 63:12, s. 2297-2310
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Background: 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. Study Design and Methods: 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. Results: Predicted phenotypes showed a high balanced accuracy >99.5% in most cases: A, B, C/c, Coa/Cob, Doa/Dob, E/e, Jka/Jkb, Kna/Knb, Kpa/Kpb, M/N, S/s, Sda, Se, and Yta/Ytb, while some performed slightly worse: Fya/Fyb, K/k, Lua/Lub, and Vel ~99%–98% and CW and P1 ~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%). Discussion: 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-negative phenotype from 180,000 to 70.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Hematologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Hematology (hsv//eng)
Nyckelord
- ABO
- blood group systems
- blood groups
- Danish blood type rates
- Danish population
- Denmark
- Diego
- Dombrock
- donor blood typing
- Duffy
- erythrocyte antigens
- genetic blood typing
- Kell
- Kidd
- Knops
- Lewis
- Lutheran
- MNS
- P1PK
- Rh
- secretor
- Vel
- Yt
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
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Moslemi, Camous
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Sækmose, Susanne ...
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Larsen, Rune
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Bay, Jakob T.
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Brodersen, Thors ...
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Didriksen, Maria
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Hjalgrim, Henrik
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Banasik, Karina
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Nielsen, Kaspar ...
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Bruun, Mie T.
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Dowsett, Joseph
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Dinh, Khoa M.
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Mikkelsen, Susan
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Mikkelsen, Chris ...
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Hansen, Thomas F ...
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Ullum, Henrik
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Erikstrup, Chris ...
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Brunak, Søren
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Krogfelt, Karen ...
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Storry, Jill R.
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Ostrowski, Sisse ...
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Olsson, Martin L ...
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Pedersen, Ole B.
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- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Hematologi
- Artiklar i publikationen
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Transfusion
- Av lärosätet
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Lunds universitet