Evidence map›Paper›PMID 37714914›Full record

ArticleScientific reports2023

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

Cheol O Bae, Soon Sung Kwon, Sinyoung Kim

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Cheol O BaeDepartment of Laboratory Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, South Korea.
Soon Sung KwonDepartment of Laboratory Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, South Korea. kwonss@yuhs.ac.
Sinyoung KimDepartment of Laboratory Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Blood Group AntigensGenomicsGenotypeHumansPrevalenceRepublic of KoreaBlood Group Antigens

Identifiers

PMID37714914
PMCPMC10504236

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