Evidence map›Paper›PMID 33106596›Full record

ArticleScientific reports2020

Establishment and application of a novel method based on single nucleotide polymorphism analysis for detecting β-globin gene cluster deletions.

Siqi Hu, Wenli Zhan, Jicheng Wang, Jia Xie, Weiping Zhou, Xiaohan Yang, Yukun Zeng, Tingting Hu, Lei Duan, Keyi Chen and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 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
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Global Globin Network and adopting genomic variant database requirements for thalassemia.Database : the journal of biological databases and curation · 2024
    Article
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

13 authors.

Siqi HuMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Wenli ZhanMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Jicheng WangMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Jia XieMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Weiping ZhouMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Xiaohan YangMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Yukun ZengMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Tingting HuMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Lei DuanMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Keyi ChenMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Li DuMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Aihua YinMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China.
Mingyong LuoMedical Genetic Centre, Guangdong Women and Children's Hospital, Guangzhou Medical University, 521-523 Xingnan Avenue, Panyu District, Guangzhou, 511400, China. luo-my@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

β-Globin gene mutations reduce or terminate the production of beta globin chains, of which approximately 10% are large deletions within the β-globin gene cluster. Because gene deletion leads to loss of heterozygosity at single nucleotide polymorphism (SNP), a novel method for detecting β-globin gene cluster deletions based on SNP heterozygosity analysis was established in this study. The location range of SNPs was selected according to the breakpoint of β-globin gene cluster deletions. SNPs were screened using bioinformatics analysis and population sequencing data. A novel method which enables genotyping of multiplex SNPs based on tetra-primer ARMS-PCR was designed and optimized. Forty clinical samples were tested in parallel by this method and MLPA to verify the performance of this method for detecting β-globin gene cluster deletion. Six informative SNPs were obtained, achieving heterozygote coverage of 93.3% in normal individuals. Genotyping of six SNPs were successfully integrated into two multiplex tetra-primer ARMS-PCR reactions. The sensitivity, specificity, positive predictive value and negative predictive value of the method for detecting β-globin gene cluster deletion were 100%, 96.30%, 92.86%, and 100%, respectively. This is a simple, cost-effective and novel method for detecting β-globin gene cluster deletions, which may be suitable for use in combination with MLPA for thalassemia molecular testing.

Indexed as

Polymorphism, Single Nucleotidebeta-GlobinsComputational BiologyGene DeletionGenotyping TechniquesHeterozygoteHumansMultigene FamilyMultiplex Polymerase Chain ReactionSequence Analysis, DNAbeta-Globins

Identifiers

PMID33106596
PMCPMC7588424

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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.