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Investigation of blood group genotype prevalence in Korean population using large genomic databases

Blood group antigens, which are prominently expressed in red blood cells, are important in transfusion medicine. The advent of high-throughput genome sequencing technology has facilitated the prediction of blood group antigen phenotypes based on genomic data. In this study, we analyzed data from a l...

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Autores principales: Bae, Cheol O, Kwon, Soon Sung, Kim, Sinyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504236/
https://www.ncbi.nlm.nih.gov/pubmed/37714914
http://dx.doi.org/10.1038/s41598-023-42473-8
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author Bae, Cheol O
Kwon, Soon Sung
Kim, Sinyoung
author_facet Bae, Cheol O
Kwon, Soon Sung
Kim, Sinyoung
author_sort Bae, Cheol O
collection PubMed
description Blood group antigens, which are prominently expressed in red blood cells, are important in transfusion medicine. The advent of high-throughput genome sequencing technology has facilitated the prediction of blood group antigen phenotypes based on genomic data. In this study, we analyzed data from a large Korean population to provide an updated prevalence of blood group antigen phenotypes, including rare ones. A robust dataset comprising 72,291 single nucleotide polymorphism arrays, 5318 whole-exome sequences, and 4793 whole-genome sequences was extracted from the Korean Genome and Epidemiology Study, Genome Aggregation Database, and Korean Variant Archive and then analyzed. The phenotype prevalence of clinically significant blood group antigens, including MNSs, RHCE, Kidd, Duffy, and Diego, was predicted through genotype analysis and corroborated the existing literature. We identified individuals with rare phenotypes, including 369 (0.51%) with Fy(a−b+), 188 (0.26%) with Di(a+b−), and 16 (0.02%) with Jr(a−). Furthermore, we calculated the frequencies of individuals with extremely rare phenotypes, such as p (0.000004%), Kell-null (0.000310%), and Jk(a−b−) (0.000438%), based on allele frequency predictions. These findings offer valuable insights into the distribution of blood group antigens in the Korean population and have significant implications for enhancing the safety and efficiency of blood transfusion.
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spelling pubmed-105042362023-09-17 Investigation of blood group genotype prevalence in Korean population using large genomic databases Bae, Cheol O Kwon, Soon Sung Kim, Sinyoung Sci Rep Article Blood group antigens, which are prominently expressed in red blood cells, are important in transfusion medicine. The advent of high-throughput genome sequencing technology has facilitated the prediction of blood group antigen phenotypes based on genomic data. In this study, we analyzed data from a large Korean population to provide an updated prevalence of blood group antigen phenotypes, including rare ones. A robust dataset comprising 72,291 single nucleotide polymorphism arrays, 5318 whole-exome sequences, and 4793 whole-genome sequences was extracted from the Korean Genome and Epidemiology Study, Genome Aggregation Database, and Korean Variant Archive and then analyzed. The phenotype prevalence of clinically significant blood group antigens, including MNSs, RHCE, Kidd, Duffy, and Diego, was predicted through genotype analysis and corroborated the existing literature. We identified individuals with rare phenotypes, including 369 (0.51%) with Fy(a−b+), 188 (0.26%) with Di(a+b−), and 16 (0.02%) with Jr(a−). Furthermore, we calculated the frequencies of individuals with extremely rare phenotypes, such as p (0.000004%), Kell-null (0.000310%), and Jk(a−b−) (0.000438%), based on allele frequency predictions. These findings offer valuable insights into the distribution of blood group antigens in the Korean population and have significant implications for enhancing the safety and efficiency of blood transfusion. Nature Publishing Group UK 2023-09-15 /pmc/articles/PMC10504236/ /pubmed/37714914 http://dx.doi.org/10.1038/s41598-023-42473-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bae, Cheol O
Kwon, Soon Sung
Kim, Sinyoung
Investigation of blood group genotype prevalence in Korean population using large genomic databases
title Investigation of blood group genotype prevalence in Korean population using large genomic databases
title_full Investigation of blood group genotype prevalence in Korean population using large genomic databases
title_fullStr Investigation of blood group genotype prevalence in Korean population using large genomic databases
title_full_unstemmed Investigation of blood group genotype prevalence in Korean population using large genomic databases
title_short Investigation of blood group genotype prevalence in Korean population using large genomic databases
title_sort investigation of blood group genotype prevalence in korean population using large genomic databases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504236/
https://www.ncbi.nlm.nih.gov/pubmed/37714914
http://dx.doi.org/10.1038/s41598-023-42473-8
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