Evidence map›Paper›PMID 31775789›Full record

ArticleJournal of translational medicine2019

Molecular and computational analysis of 45 samples with a serologic weak D phenotype detected among 132,479 blood donors in northeast China.

Xu Zhang, Guiji Li, Zhuren Zhou, Chaopeng Shao, Xuying Huang, Lichun Li, Xiaofeng Li, Ying Liu, Hua Fan, Jianping Li

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  4. The Significance ofFrontiers in immunology · 2021
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  5. Frontiers in genetics · 2021
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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

10 authors at 4 institutions in 1 country.

Xu ZhangInstitute of Transfusion Medicine, Liaoning Blood Center, Shenyang, Liaoning, China.ORCID 0000-0002-2142-6436
Guiji LiDepartment of Hematology, The Forth Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Zhuren ZhouInstitute of Transfusion Medicine, Liaoning Blood Center, Shenyang, Liaoning, China.
Chaopeng ShaoDepartment of Transfusion, the Second People's Hospital of Shenzhen, Shenzhen, China.
Xuying HuangInstitute of Transfusion Medicine, Liaoning Blood Center, Shenyang, Liaoning, China.
Lichun LiInstitute of Transfusion Medicine, Liaoning Blood Center, Shenyang, Liaoning, China.
Xiaofeng LiInstitute of Transfusion Medicine, Liaoning Blood Center, Shenyang, Liaoning, China.
Ying LiuInstitute of Transfusion Medicine, Harbin Blood Center, Harbin, Heilongjiang, China.
Hua FanDepartment of Hematology, The Forth Affiliated Hospital of China Medical University, Shenyang, Liaoning, China. fanhua66cn@163.com.
Jianping LiInstitute of Transfusion Medicine, Liaoning Blood Center, Shenyang, Liaoning, China. ljp_63@163.com.
China Medical University · CNFirst Hospital of China Medical University · CNLiaoning University · CNShenzhen Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRH1 is one of the most clinically important blood group antigens in the field of transfusion and in the prevention of fetal incompatibility. The molecular analysis and characterization of serologic weak D phenotypes is essential to ensuring transfusion safety.

methodsBlood samples from a northeastern Chinese population were randomly screened for a serologic weak D phenotype. The nucleotide sequences of all 10 exons, adjacent flanking intronic regions, and partial 5' and 3' untranslated regions (UTRs) were detected for RHD genes. Predicted deleterious structural changes in missense mutations of serologicl weak D phenotypes were analyzed using SIFT, PROVEAN and PolyPhen2 software. The protein structure of serologic weak D phenotypes was predicted using Swiss-PdbViewer 4.0.1.

resultsA serologic weak D phenotype was found in 45 individuals (0.03%) among 132,479 blood donors. Seventeen distinct RHD mutation alleles were detected, with 11 weak D, four partial D and two DEL alleles. Further analyses resulted in the identification of two novel alleles (RHD weak D 1102A and 399C). The prediction of a three-dimensional structure showed that the protein conformation was disrupted in 16 serologic weak D phenotypes.

conclusionsTwo novel and 15 rare RHD alleles were identified. Weak D type 15, DVI Type 3, and RHD1227A were the most prevalent D variant alleles in a northeastern Chinese population. Although the frequencies of the D variant alleles presented herein were low, their phenotypic and genotypic descriptions add to the repertoire of reported RHD alleles. Bioinformatics analysis on RhD protein can give us more interpretation of missense variants of RHD gene.

Indexed as

Blood DonorsComputational BiologySerologic TestsAllelesAmino Acid SubstitutionChinaGene FrequencyHumansMutant ProteinsPhenotypeProtein Structure, TertiaryRh-Hr Blood-Group SystemMutant ProteinsRh-Hr Blood-Group SystemDELMolecular and computational analysisPartial DRHD variantSerological weak D phenotypeWeak D

Identifiers

PMID31775789
PMCPMC6880393
OpenAlexW2990120647

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.