Evidence map›Paper›PMID 33178774›Full record

ArticleAnnals of translational medicine2020

DNA sequence analysis and Jk blood group genotype-phenotype assessment.

Shuang Liang, Yu-Qing Su, Yan-Lian Liang, Fan Wu, Hao Zhang, Jia-Hai Shi, Wen-Xu Hong, Yun-Ping Xu

Open access · diamondAbstract read
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Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 50% of its field
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

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Shuang LiangShenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, China.
Yu-Qing SuShenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, China.
Yan-Lian LiangShenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, China.
Fan WuShenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, China.
Hao ZhangBusiness Department, Shenzhen Blood Center, Shenzhen, China.
Jia-Hai ShiDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
Wen-Xu HongShenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, China.
Yun-Ping XuShenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, China.
Shenzhen Blood Center · CNCity University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Kidd (JK) blood group is critical for clinical blood transfusion. Various methods for Jk typing have been commonly used, including urea hemolysis, serological test, and genotyping. However, the application of molecular methods has so far been restricted to selected samples and not been applied to the population-scale analysis.

methodsOne hundred eighty-three blood samples, containing 174 samples collected from voluntary blood donors of Chinese Han individuals, together with 3 Jk (aw+b-) and 6 Jk (a-b-) samples, were investigated by standard serology urea hemolysis test and Sanger-sequencing. Complete coverage of exons 4-11 and intron-exon borders have been sequenced.

resultsWe report the frequencies of three SNPs in exon 4, 7, and intron 9. Besides, sequence analysis revealed the simultaneous DNA variants of intron 7 (-68) and exon 9 (838) found in all samples, suggesting the co-inheritance of these SNPs-taking the observed SNPs frequencies into account. Further, we discuss the potential of the sequencing technique for high-resolution genotyping.

conclusionsThe described sequencing method for Jk exons delivers a genotyping technique for Jk molecular characterization. According to the co-inheritance of these DNA variants in intron 7 (-68) and exon 9 (838), and their regularity linkage with Jk phenotypes, these two sites offer a potential sequencing target for rapid and far more simplified Jk typing that can supplement routine serology and urea hemolysis tests.

Indexed as

DNA sequencinggenotypingKidd (Jk) blood groupsingle nucleotide polymorphisms (SNPs)

Identifiers

PMID33178774
PMCPMC7607079
OpenAlexW3093388965

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.