Utility of <i>ABO</i> Genotyping by Integrating the <i>ABO</i> Gene into Diagnostic Gene Panels for Patients with Hematologic Malignancies

Serologic ABO typing might be hampered in some patients with hematologic malignancies. We performed <i>ABO</i> genotyping using next-generation sequencing as part of a routine hematologic malignancy gene panel to determine the ABO blood type of patients with hematologic malignancies. Targeted sequencing of seven <i>ABO</i> gene exons was performed within a hematologic malignancy gene panel for 520 patients diagnosed with various hematologic malignancies. The distribution of predicted ABO blood phenotypes determined through genotyping was as follows: 33.3% A, 27.3% B, 26.7% O, and 12.7% AB. No significant associations were identified between <i>ABO</i> allele distributions and specific hematologic malignancy diagnoses. We compared the phenotypes predicted using <i>ABO</i> genotyping with serological ABO testing results in 502 samples where serological data were available. All genotyping-based phenotypes were accurate, with 99.8% (501/502) of initial serological results aligning with the true phenotypes. Unusual serological results were observed in 21 samples (4.2%). The percentages of recipient cells containing <i>ABO</i> allele variants indicated chimerism in relapsed patients who had undergone ABO-mismatched transplantation. Thus, incorporating <i>ABO</i> genotyping into the hematology gene panel provides valuable information offering a cost-effective approach to address challenges in blood typing and post-transplant care.

Authors

Institutions

Publication Details

Journal
Annals of Laboratory Medicine
Published
2025-04-28
DOI
https://doi.org/10.3343/alm.2024.0573
Citations
1
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
1.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utility of ABO Genotyping by Integrating the ABO Gene into Diagnostic Gene Panels for Patients with Hematologic Malignancies

Yun Mi Park, Gye Cheol Kwon, Seon Young Kim
1 citations
Annals of Laboratory Medicine
Renal Transplantation Outcomes and Treatments
1.99
article

Utility of ABO Genotyping by Integrating the ABO Gene into Diagnostic Gene Panels for Patients with Hematologic Malignancies

Yun Mi Park, Gye Cheol Kwon, Seon Young Kim
article en
1 citations

Abstract

Serologic ABO typing might be hampered in some patients with hematologic malignancies. We performed <i>ABO</i> genotyping using next-generation sequencing as part of a routine hematologic malignancy gene panel to determine the ABO blood type of patients with hematologic malignancies. Targeted sequencing of seven <i>ABO</i> gene exons was performed within a hematologic malignancy gene panel for 520 patients diagnosed with various hematologic malignancies. The distribution of predicted ABO blood phenotypes determined through genotyping was as follows: 33.3% A, 27.3% B, 26.7% O, and 12.7% AB. No significant associations were identified between <i>ABO</i> allele distributions and specific hematologic malignancy diagnoses. We compared the phenotypes predicted using <i>ABO</i> genotyping with serological ABO testing results in 502 samples where serological data were available. All genotyping-based phenotypes were accurate, with 99.8% (501/502) of initial serological results aligning with the true phenotypes. Unusual serological results were observed in 21 samples (4.2%). The percentages of recipient cells containing <i>ABO</i> allele variants indicated chimerism in relapsed patients who had undergone ABO-mismatched transplantation. Thus, incorporating <i>ABO</i> genotyping into the hematology gene panel provides valuable information offering a cost-effective approach to address challenges in blood typing and post-transplant care.

Annals of Laboratory MedicineVol. 45(5)
Seoul National University Hospital (KR), Chungnam National University Hospital (KR)
Korea Medical Device Development Fund, Ministry of Education, Ministry of Food and Drug Safety, Ministry of Health and Welfare, National Research Foundation of Korea, Seoul National University Hospital, Ministry of Science and ICT, South Korea
Zero hunger
Openalex Percentile: Top 17%
Renal Transplantation Outcomes and Treatments
1.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.