Evidence map›Paper›PMID 31412794›Full record

ArticleBMC medical genetics2019

Genetic analysis of 1051 Chinese families with Duchenne/Becker Muscular Dystrophy.

Xiangdong Kong, Xingjian Zhong, Lina Liu, Siying Cui, Yuxia Yang, Lingrong Kong

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 1 institution in 1 country.

Xiangdong KongThe Genetics and Prenatal Diagnosis Center of the First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe East Rd, Erqi District, Zhengzhou, Henan Province, China. kongxd@263.net.ORCID 0000-0003-0030-7638
Xingjian ZhongThe Genetics and Prenatal Diagnosis Center of the First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe East Rd, Erqi District, Zhengzhou, Henan Province, China.
Lina LiuThe Genetics and Prenatal Diagnosis Center of the First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe East Rd, Erqi District, Zhengzhou, Henan Province, China.
Siying CuiThe Genetics and Prenatal Diagnosis Center of the First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe East Rd, Erqi District, Zhengzhou, Henan Province, China.
Yuxia YangThe Genetics and Prenatal Diagnosis Center of the First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe East Rd, Erqi District, Zhengzhou, Henan Province, China.
Lingrong KongThe Genetics and Prenatal Diagnosis Center of the First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe East Rd, Erqi District, Zhengzhou, Henan Province, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuchenne Muscular Dystrophy (DMD) is the most common muscle disease in children, and there are no effective therapies for DMD or Becker Muscular Dystrophy (BMD). Currently, targeted gene therapy treatments have emerged. As a result, genetic diagnosis is the basis of treatment. In addition, genetic and prenatal diagnosis significantly reduces their incidence rates. This study combines the application of multiplex ligation-dependent probe amplification technology (MLPA) and "next-generation" sequencing technology (NGS) as the most economical and efficient method of diagnosis. Therefore, in the diagnosis of DMD/BMD, patients' MLPA data are first used to detect DMD gene deletions or duplications, and NGS and Sanger sequencing are then applied to exclude MLPA-negative samples. Meanwhile, polymerase chain reaction (PCR) is used to detect single exon deletions to exclude false-positives in MLPA caused by point mutations.

methodsIn this study, we recruited 1051 proband families of DMD from 2016 to 2018 and had access to information that could identify individual participants during or after data collection. Patients who were diagnosed with DMD were first tested by MLPA. MLPA results with single exon deletions were validated with PCR amplification and Sanger sequencing. The negative results of MLPA were further analysed with NGS and validated by Sanger sequencing. For novel missense mutations, phenotype-genotype correlations were analysed using PolyPhen2 and mutation taster. All methods were performed in accordance with the relevant guidelines and regulations.

resultsDMD mutations were identified in 1029 families (97.91%, 1029/1051). Large deletions, duplications, and small mutations accounted for 70.41% (740/1051), 8.28% (87/1051), and 19.12% (201/1051) of all cases, respectively. There were 205 small mutation types, 53 of which were novel. The rate of de novo mutations was 39.45% (187/474) and was higher in large duplications (49.53%, 157/317). Among 68 asymptomatic patients (< 3 years old) with unexplained persistent hyperCKaemia upon conventional physical examination, 63 were diagnosed as DMD/BMD according to genetic diagnosis.

conclusionOur results expand the spectrum of DMD mutations, which could contribute to the treatment of DMD/BMD and provide an effective diagnosis method. Thus, the combination of MLPA, NGS and Sanger sequencing is of great significance for family analysis, gene diagnosis and gene therapy.

Indexed as

Genetic TestingAsian PeopleChild, PreschoolExonsFemaleGenetic Association StudiesHigh-Throughput Nucleotide SequencingHumansMaleMultiplex Polymerase Chain ReactionMuscular Dystrophy, DuchenneMutationDuchenne muscular dystrophy (DMD)Gene mutationsMultiplex ligation-dependent probe amplification (MLPA)Next-generation sequencing (NGS)Sanger sequencing

Identifiers

PMID31412794
PMCPMC6694523
OpenAlexW2967108178

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.