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RBCeq: A robust and scalable algorithm for accurate genetic blood typing.
Jadhao, Sudhir; Davison, Candice L; Roulis, Eileen V; Schoeman, Elizna M; Divate, Mayur; Haring, Mitchel; Williams, Chris; Shankar, Arvind Jaya; Lee, Simon; Pecheniuk, Natalie M; Irving, David O; Hyland, Catherine A; Flower, Robert L; Nagaraj, Shivashankar H.
Afiliação
  • Jadhao S; Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
  • Davison CL; Australian Red Cross Lifeblood Research and Development, Brisbane, Queensland, Australia.
  • Roulis EV; Australian Red Cross Lifeblood Research and Development, Brisbane, Queensland, Australia; Faculty of Health, Queensland University of Technology, Brisbane, Australia.
  • Schoeman EM; Australian Red Cross Lifeblood Research and Development, Brisbane, Queensland, Australia.
  • Divate M; Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
  • Haring M; Office of eResearch, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
  • Williams C; Office of eResearch, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
  • Shankar AJ; Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
  • Lee S; Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
  • Pecheniuk NM; School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia.
  • Irving DO; Research and Development, Australian Red Cross Blood Service, Sydney, New South Wales, Australia.
  • Hyland CA; Australian Red Cross Lifeblood Research and Development, Brisbane, Queensland, Australia; Faculty of Health, Queensland University of Technology, Brisbane, Australia.
  • Flower RL; Australian Red Cross Lifeblood Research and Development, Brisbane, Queensland, Australia; Faculty of Health, Queensland University of Technology, Brisbane, Australia.
  • Nagaraj SH; Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland 4059, Australia; Translational Research Institute, Brisbane, Australia. Electronic address: shiv.nagaraj@qut.edu.au.
EBioMedicine ; 76: 103759, 2022 Feb.
Article em En | MEDLINE | ID: mdl-35033986
ABSTRACT

BACKGROUND:

While blood transfusion is an essential cornerstone of hematological care, patients requiring repetitive transfusion remain at persistent risk of alloimmunization due to the diversity of human blood group polymorphisms. Despite the promise, user friendly methods to accurately identify blood types from next-generation sequencing data are currently lacking. To address this unmet need, we have developed RBCeq, a novel genetic blood typing algorithm to accurately identify 36 blood group systems.

METHODS:

RBCeq can predict complex blood groups such as RH, and ABO that require identification of small indels and copy number variants. RBCeq also reports clinically significant, rare, and novel variants with potential clinical relevance that may lead to the identification of novel blood group alleles.

FINDINGS:

The RBCeq algorithm demonstrated 99·07% concordance when validated on 402 samples which included 29 antigens with serology and 9 antigens with SNP-array validation in 14 blood group systems and 59 antigens validation on manual predicted phenotype from variant call files. We have also developed a user-friendly web server that generates detailed blood typing reports with advanced visualization (https//www.rbceq.org/).

INTERPRETATION:

RBCeq will assist blood banks and immunohematology laboratories by overcoming existing methodological limitations like scalability, reproducibility, and accuracy when genotyping and phenotyping in multi-ethnic populations. This Amazon Web Services (AWS) cloud based platform has the potential to reduce pre-transfusion testing time and to increase sample processing throughput, ultimately improving quality of patient care.

FUNDING:

This work was supported in part by Advance Queensland Research Fellowship, MRFF Genomics Health Futures Mission (76,757), and the Australian Red Cross LifeBlood. The Australian governments fund the Australian Red Cross Lifeblood for the provision of blood, blood products and services to the Australian community.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antígenos de Grupos Sanguíneos / Tipagem e Reações Cruzadas Sanguíneas Tipo de estudo: Guideline / Prognostic_studies Limite: Humans País/Região como assunto: Oceania Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antígenos de Grupos Sanguíneos / Tipagem e Reações Cruzadas Sanguíneas Tipo de estudo: Guideline / Prognostic_studies Limite: Humans País/Região como assunto: Oceania Idioma: En Ano de publicação: 2022 Tipo de documento: Article