Distribution of Blood Groups in Korea

Ohkura, Koji; Miyashita, Tadashi; Hasekura, Hayato; Nakajima, Hachiro; Matsumoto, Hideo; Kang, Y.S.; Lee, C.C.

doi:10.1159/000153864

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…The Fy(a−b−) phenotype, which is linked to resistance to malaria, was not observed across the three databases investigated in this study. The prevalence of the Di(a+b−) phenotype is consistent with previous studies 7 , 8 , 20 . The Jr(a) antigen is a high-frequency antigen.…”

Section: Discussionsupporting

confidence: 92%

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

Bae,

Kwon,

Kim

2023

Sci Rep

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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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Section: Discussionsupporting

confidence: 92%

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

Bae,

Kwon,

Kim

2023

Sci Rep

View full text Add to dashboard Cite

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“…However, whenever new data were available for any locus or any population that had not been previously studied, they were included. For example, gene frequency data for Tibetans were taken mainly from Ai et al ( 1987) and Papiha et al ( 1989)) and those for Koreans were from Goedde et al ( 1987) and Ohkura et al ( 1989). The data for southern Chinese and for Micronesians and Polynesians were obtained from Saha ( 1989) and Kirk ( 1979Kirk ( , 1985Kirk ( , 1989, respectively.…”

Section: Methodsmentioning

confidence: 99%

Evolutionary relationships of human populations on a global scale.

1993

Molecular Biology and Evolution

106

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Using gene frequency data for 29 polymorphic loci (121 alleles), we conducted a phylogenetic analysis of 26 representative populations from around the world by using the neighbor-joining (NJ) method. We also conducted a separate analysis of 15 populations by using data for 33 polymorphic loci. These analyses have shown that the first major split of the phylogenetic tree separates Africans from non-Africans and that this split occurs with a 100% bootstrap probability. The second split separates Caucasian populations from all other non-African populations, and this split is also supported by bootstrap tests. The third major split occurs between Native American populations and the Greater Asians that include East Asians (mongoloids), Pacific Islanders, and Australopapuans (native Australians and Papua New Guineans), but Australopapuans are genetically quite different from the rest of the Greater Asians. The second and third levels of population splitting are quite different from those of the phylogenetic tree obtained by Cavalli-Sforza et al. (1988), where Caucasians, Northeast Asians, and Ameridians from the Northeurasian supercluster and the rest of non-Africans form the Southeast Asian supercluster. One of the major factors that caused the difference between the two trees is that Cavalli-Sforza et al. used unweighted pair-group method with arithmetic mean (UPGMA) in phylogenetic inference, whereas we used the NJ method in which evolutionary rate is allowed to vary among different populations. Bootstrap tests have shown that the UPGMA tree receives poor statistical support whereas the NJ tree is well supported. Implications that the phylogenetic tree obtained has on the current controversy over the out-of-Africa and the multiregional theories of human origins are discussed.

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Distribution of Blood Groups in Korea

Cited by 2 publications

References 7 publications

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

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

Evolutionary relationships of human populations on a global scale.

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