Evidence map›Paper›PMID 23453023›Full record

ArticleBMC medical genetics2013

MLPA-based genotype-phenotype analysis in 1053 Chinese patients with DMD/BMD.

Juan Yang, Shao Y Li, Ya Q Li, Ji Q Cao, Shan W Feng, Yan Y Wang, Yi X Zhan, Chang S Yu, Fei Chen, Jing Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

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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

39 citing papers in PubMed, 80 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

12 authors at 5 institutions in 1 country.

Juan YangDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhong Shaner Road, Guangzhou City, 510080, People's Republic of China.
Shao Y Li
Ya Q Li
Ji Q Cao
Shan W Feng
Yan Y Wang
Yi X Zhan
Chang S Yu
Fei Chen
Jing Li
Xiao F Sun
Cheng Zhang
Sun Yat-sen University · CNThird Affiliated Hospital of Guangzhou Medical University · CNKingmed Diagnostics · CNThe First Affiliated Hospital, Sun Yat-sen University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge-scale analysis of the transmission, mutation characteristics and the relationship between the reading frame and phenotype of the DMD gene has previously been performed in several countries, however, analogous studies have yet to be performed in Chinese populations.

methodsClinical data from 1053 Chinese patients with DMD/BMD were collected, and the DMD gene was tested by MLPA in all patients and 400 proband mothers. In 20 patients with negative MLPA, sequencing was also performed.

resultsWe found that 27.50% of cases had a family medical history of DMD/BMD, and large rearrangements were identified in 70.56% of the probands, of which 59.35% and 11.21% were deletions or duplications, respectively. The carrier status of the mothers in the study was determined to be 50.75%, and it was established that the DMD mutation was inherited from the mother in 51.72% of the probands. Exons 45-54 and 3-22 were the most frequently deleted regions, and exons 3-11 and 21-37 were the most prevalently duplicated regions of the gene. Breakpoints mainly occurred in introns 43-55 for deletion mutations and in introns 2 and 7 for duplication mutations. No breakpoints were found at the 5' or 3' end of introns 31, 35, 36, 40, 65, 68, and 74-78 in any of the deletion or duplication mutations. The reading frame rule held true for 86.4% of the DMD patients and 74.55% of the BMD patients.

conclusionIt is essential to increase physicians' understanding of DMD/BMD, to promote scientific information, and to increase awareness in regards to genetic counseling and prenatal diagnosis in pedigrees with a family history of the disease, particularly in families with small DMD lesions in China. In addition, such a large-scale analysis will prove to be instructive for leading translational studies between basic science and clinical medicine.

Indexed as

Asian PeopleDystrophinExonsGenotypeHumansMaleMuscular Dystrophy, DuchenneMutationPhenotypeDystrophin

Identifiers

PMID23453023
PMCPMC3599358
OpenAlexW2077518561

What OpenQuestion holds

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LicenceCC BY
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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.