Automated typing of red blood cell and platelet antigens from whole exome sequences
- PMID: 31392742
- DOI: 10.1111/trf.15473
Automated typing of red blood cell and platelet antigens from whole exome sequences
Abstract
Background: Genotyping has expanded the number red blood cell (RBC) and platelet (PLT) antigens that can readily be typed, but often represents an additional testing cost. The analysis of existing genomic data offers a cost-effective approach. We recently developed automated software (bloodTyper) for determination of RBC and PLT antigens from whole genome sequencing. Here we extend the algorithm to whole exome sequencing (WES).
Study design and methods: Whole exome sequencing was performed on samples from 75 individuals. WES-based bloodTyper RBC and PLT typing was compared to conventional polymerase chain reaction (PCR) RHD zygosity testing and serologic and single-nucleotide polymorphism (SNP) typing for 38 RBC antigens in 12 systems (17 serologic and 35 SNPs) and 22 PLT antigens (22 SNPs). Samples from the first 20 individuals were used to modify bloodTyper to interpret WES followed by blinded typing of 55 samples.
Results: Over the first 20 samples, discordances were noted for C, M, and N antigens, which were due to WES-specific biases. After modification, bloodTyper was 100% accurate on blinded evaluation of the last 55 samples and outperformed both serologic (99.67% accurate) and SNP typing (99.97% accurate) reflected by two Fyb and one N serologic typing errors and one undetected SNP encoding a Jknull phenotype. RHD zygosity testing by bloodTyper was 100% concordant with a combination of hybrid Rhesus box PCR and PCR-restriction fragment length polymorphism for all samples.
Conclusion: The automated bloodTyper software was modified for WES biases to allow for accurate RBC and PLT antigen typing. Such analysis could become a routing part of future WES efforts.
© 2019 AABB.
Comment in
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Automatic for the people: a rapidly evolving movement for the future of genotyping.Transfusion. 2019 Nov;59(11):3545-3547. doi: 10.1111/trf.15561. Epub 2019 Oct 30. Transfusion. 2019. PMID: 31667851 No abstract available.
References
REFERENCES
-
- Stabentheiner S, Danzer M, Niklas N, et al. Overcoming methodical limits of standard RHD genotyping by next-generation sequencing. Vox Sang 2011;100:381-8.
-
- Rieneck K, Bak M, Jønson L, et al. Next-generation sequencing: proof of concept for antenatal prediction of the fetal Kell blood group phenotype from cell-free fetal DNA in maternal plasma. Transfusion 2013;53(Suppl 2):2892-8.
-
- Fichou Y, Audrézet M-P, Guéguen P, et al. Next-generation sequencing is a credible strategy for blood group genotyping. Br J Haematol 2014;167:554-62.
-
- Wieckhusen C, Bugert P. 454-Sequencing™ for the KEL, JR, and LAN Blood Groups. Methods Mol Biol 2015;1310:123-33.
-
- Giollo M, Minervini G, Scalzotto M, et al. BOOGIE: predicting blood groups from high throughput sequencing data. PLoS One 2015;10:e0124579.
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