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Article

A machine-learning method for biobank-scale genetic prediction of blood group antigens.

PLoS computational biology - 1 Mar 2024

Hyvärinen Kati, Haimila Katri, Moslemi Camous, Biobank Blood Service, Olsson Martin L, Ostrowski Sisse R, Pedersen Ole B, Erikstrup Christian, Partanen Jukka, Ritari Jarmo

Abstract excerpt

A key element for successful blood transfusion is compatibility of the patient and donor red blood cell (RBC) antigens. Precise antigen matching reduces the risk for immunization and other adverse transfusion outcomes. RBC antigens are encoded by specific genes, which allows developing computational methods for determining antigens from genomic data. We describe here a classification method for determining RBC...

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Share to Antigens, Human Platelet
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38512997
DOI: 10.1371/journal.pcbi.1011977
PMCID: PMC10986993

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