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Updated: Nov 30, 2025
08:53
Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma
Published on: June 10, 2017
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Blood group typing from whole-genome sequencing data.
Julien Paganini1, Peter L Nagy2, Nicholas Rouse2
1Xegen, Gemenos, France.
Plos One
|November 12, 2020
Summary
Whole-genome sequencing (WGS) can determine red blood cell (RBC) antigen types, but requires high read depth for accuracy. This study demonstrates WGS feasibility for RBC antigen typing and rare allele screening.
Area of Science:
- Genomics
- Immunogenetics
- Transfusion Medicine
Background:
- Whole-genome sequencing (WGS) offers extensive data but faces challenges in software and database accuracy for specific applications.
- Accurate red blood cell (RBC) antigen typing is crucial for transfusion compatibility and managing hemolytic diseases.
Purpose of the Study:
- To assess the feasibility of RBC antigen typing using WGS data.
- To overcome limitations in software and database accuracy for WGS-based immunogenetic analyses.
- To explore the potential of WGS for identifying rare blood group alleles.
Main Methods:
- Analyzed WGS data from 79 individuals for HLA-DRB1 and 9 common RBC antigens.
- Utilized specialized software for allele and haplotype phasing from variable genomic positions.
- Developed a dedicated database for 1648 variable positions across 9 RBC antigen genes.
- Compared WGS typing results with established amplicon-based and SNaPshot methods.
Main Results:
- Achieved 93% concordance for RBC antigen polymorphisms and 91% for HLA-DRB1 typing.
- Identified a minimum read depth of 15x as crucial for reliable WGS typing accuracy.
- Demonstrated WGS potential for screening rare alleles, such as weak JK variants.
- Highlighted the need for improved read depth for single nucleotide polymorphism (SNP) typing accuracy.
Conclusions:
- RBC antigen typing from WGS is feasible, though accuracy depends on sufficient read depth.
- WGS analysis holds promise for personalized care in managing RBC disorders and for donor screening.
- Further optimization of WGS methodologies is needed to enhance typing precision for immunogenetic applications.
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