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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10504236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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