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Article

Machine learning to optimize automated RH genotyping using whole-exome sequencing data.

Blood advances - 11 Jun 2024

Chang Ti-Cheng, Yu Jing, Wang Zhaoming, Hankins Jane S, Weiss Mitchell J, Wu Gang, Westhoff Connie M, Chou Stella T, Zheng Yan

Abstract excerpt

ABSTRACT: Rh phenotype matching reduces but does not eliminate alloimmunization in patients with sickle cell disease (SCD) due to RH genetic diversity that is not distinguishable by serological typing. RH genotype matching can potentially mitigate Rh alloimmunization but comprehensive and accessible genotyping methods are needed. We developed RHtyper as an automated algorithm to predict RH genotypes using...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 38522094
DOI: 10.1182/bloodadvances.2023011660
PMCID: PMC11157206

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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