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. 2025 Sep 18;146(12):1511-1524.
doi: 10.1182/blood.2025028902.

Array genotyping of transfusion-relevant blood cell antigens in 6946 ancestrally diverse study participants

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Array genotyping of transfusion-relevant blood cell antigens in 6946 ancestrally diverse study participants

Nicholas S Gleadall et al. Blood. .

Abstract

Blood transfusions save millions of lives worldwide each year, yet formation of antibodies against nonself antigens remains a significant problem, particularly in patients who receive frequent transfusions. We designed and tested the Universal Blood Donor Typing (UBDT_PC1) array for automated high-throughput simultaneous typing of human erythrocyte antigens (HEAs), platelet antigens (HPAs), leukocyte antigens (HLAs), and neutrophil antigens to support selection of blood products matched beyond ABO/Rh. Typing samples from 6946 study participants of European, African, Admixed American, South Asian, and East Asian ancestry at 2 different laboratories showed a genotype reproducibility of ≥99% for 17 244 variants, translating to 99.98%, 99.90%, and 99.93% concordance across 338 372 HEA, 53 270 HPA, and 107 094 HLA genotypes, respectively. Compared with previous clinical typing data, concordance was 99.9% and 99.6% for 245 874 HEA and 3726 HPA comparisons, respectively. HLA types were 99.1% concordant with clinical typing across 8130 comparisons, with imputation accuracy higher in Europeans vs non-Europeans. Seven variant RHD alleles, a GYPB deletion underlying the U- phenotype, and 14 high-frequency antigen-negative types were also detected. Beyond blood typing, hereditary hemochromatosis-associated HFE variants were identified in 276 participants. We found that the UBDT_PC1 array can reliably type a wide range of blood cell antigens across diverse ancestries. Reproducibility and accuracy were retained when transfusion-relevant targets from the UBDT_PC1 array were incorporated into the UKBB_v2.2 genome-wide typing array. The results represent the potential for significant advancement toward improved patient care by reducing harm in transfusion recipients through extended matching.

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