Calling for diversity: improving transfusion safety through high-throughput blood group microarray genotyping

Michael Wittig, Tim Alexander Steiert, Hesham ElAbd, Frauke Degenhardt, Luca Valenti, Daniele Prati, Luisa Ronzoni, Luis Bujanda, Jesus M. Banales, Natalia Blay, Pietro Invernizzi, Maria Buti, Agustin Albillos, Javier Fernandez, Nicoletta Sacchi, Antonio Julia, Anna Latiano, Rafael de Cid, Mauro D'Amato, Rosanna Asselta, Matthias Laudes, Wolfgang Lieb, David Juhl, Christoph Gassner, Andre Franke
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Abstract

Blood transfusions, conducted between donors compatible in their red blood cell (RBC) antigens, play a life-saving role in transfusion medicine. Genetic differences at blood group loci between ethnicities result in diversity and altered frequency of RBC antigens that need to be considered in blood transfusion. Consequently, comprehensive, and accurate blood group antigen typing is especially relevant for inter-ethnicity blood transfusions and for minorities underrepresented in the donor population. Blood group microarray genotyping is a cost-efficient and scalable method for comprehensive blood group typing. Previously, however, microarray typing has been challenging for the clinically important blood group systems Rh and MNS, as these feature highly paralogous genomic loci leading to mixed signals. We here present an approach for accurately typing blood group systems, including Rh and MNS variations, that we benchmarked in an ethnically diverse cohort. We tested its performance using gold-standard, diagnostic-grade MALDI-TOF data from 1,052-samples, including 334 HGDP-CEPH diversity panel samples and applied the approach to 4,999 samples of a COVID-19 genetics study. Overall, we obtained a 99.95% benchmarking concordance and 99.43% call rate. In summary, we provide a highly accurate and cost-efficient high-throughput genotyping method for comprehensive blood group analysis that is also suitable for ethnically diverse sample sets.
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呼唤多样性:通过高通量血型芯片基因分型提高输血安全
在输血医学中,红细胞(RBC)抗原相合的献血者之间进行的输血起着挽救生命的作用。不同种族之间血型基因位点的遗传差异导致红细胞抗原的多样性和频率的改变,输血时需要考虑到这一点。因此,全面、准确的血型抗原分型对于不同种族间的输血和献血者中代表性不足的少数民族尤其重要。血型芯片基因分型是一种具有成本效益且可扩展的综合血型分型方法。然而,在此之前,芯片分型对于临床上重要的 Rh 和 MNS 血型系统来说具有挑战性,因为这两个血型系统的基因组位点高度相似,导致信号混杂。我们在此介绍一种用于准确分型血型系统(包括 Rh 和 MNS 变异)的方法,并在不同种族的人群中进行了基准测试。我们使用来自 1,052 个样本(包括 334 个 HGDP-CEPH 多样性面板样本)的黄金标准诊断级 MALDI-TOF 数据测试了该方法的性能,并将该方法应用于 COVID-19 遗传学研究的 4,999 个样本。总体而言,我们获得了 99.95% 的基准一致性和 99.43% 的调用率。总之,我们为全面的血型分析提供了一种高准确性和高成本效益的高通量基因分型方法,这种方法也适用于种族多样性样本集。
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