Evidence map›Paper›PMID 38807041›Full record

ArticleBMC genomics2024

RHC genotyping in Chinese Han population.

Lin-Nan Shao, Zi-Wei Zheng, Shi-Hang Zhou, Wen-Qian Song, Yue-Xin Xia, Xiao-Hua Liang

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Rapid Detection ofDrug design, development and therapy · 2024
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lin-Nan Shao *Dalian Blood Center, No.90 Yan'an Road, Zhongshan District, Dalian, 116001, China.
Zi-Wei Zheng *College of Medical Laboratory, Dalian Medical University, Dalian, 116044, Liaoning, China.
Shi-Hang ZhouDalian Blood Center, No.90 Yan'an Road, Zhongshan District, Dalian, 116001, China. zshsail@163.com.
Wen-Qian SongDalian Blood Center, No.90 Yan'an Road, Zhongshan District, Dalian, 116001, China.
Yue-Xin XiaDalian Blood Center, No.90 Yan'an Road, Zhongshan District, Dalian, 116001, China.
Xiao-Hua LiangDalian Blood Center, No.90 Yan'an Road, Zhongshan District, Dalian, 116001, China. liangxiaohua1968@126.com.

Funding

Science and Technology Plan Project of Liaoning Province 2022-MS-447
6 · The paper itself

Abstract

backgroundThe Rh blood group system is characterized by its complexity and polymorphism, encompassing 56 different antigens. Accurately predicting the presence of the C antigen using genotyping methods has been challenging. The objective of this study was to evaluate the accuracy of various genotyping methods for predicting the Rh C and to identify a suitable method for the Chinese Han population.

methodsIn total, 317 donors, consisting 223 D+ (including 20 with the Del phenotype) and 94 D- were randomly selected. For RHC genotyping, 48C and 109bp insertion were detected on the Real-time PCR platform and -292 substitution was analyzed via restriction fragment length polymorphism (RFLP). Moreover, the promoter region of the RHCE gene was sequenced to search for other nucleotide substitutions between RHC and RHc. Agreement between prediction methods was evaluated using the Kappa statistic, and comparisons between methods were conducted via the χ

resultsThe analysis revealed that the 48C allele, 109bp insertion, a specific pattern observed in RFLP results, and wild-type alleles of seven single nucleotide polymorphisms (SNPs) were in strong agreement with the Rh C, with Kappa coefficients exceeding 0.8. However, there were instances of false positives or false negatives (0.6% false negative rate for 109bp insertion and 5.4-8.2% false positive rates for other methods). The 109bp insertion method exhibited the highest accuracy in predicting the Rh C, at 99.4%, compared to other methods (P values≤0.001). Although no statistical differences were found among other methods for predicting Rh C (P values>0.05), the accuracies in descending order were 48C (94.6%) > rs586178 (92.7%) > rs4649082, rs2375313, rs2281179, rs2072933, rs2072932, and RFLP (92.4%) > rs2072931 (91.8%).

conclusionsNone of the methods examined can independently and accurately predict the Rh C. However, the 109bp insertion test demonstrated the highest accuracy for predicting the Rh C in the Chinese Han population. Utilizing the 109bp insertion test in combination with other methods may enhance the accuracy of Rh C prediction.

Indexed as

Genotyping TechniquesPolymorphism, Single NucleotideRh-Hr Blood-Group SystemAllelesChinaEast Asian PeopleGene FrequencyGenotypeHumansPolymorphism, Restriction Fragment LengthPromoter Regions, GeneticRh-Hr Blood-Group SystemGenotypingPhenotypeRHcRHCSNP

Identifiers

PMID38807041
PMCPMC11134930

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