Evidence map›Paper›PMID 39674649›Full record

ArticleJournal, genetic engineering & biotechnology2024

Genomic insights into Duchene muscular dystrophy: Analysis of 1250 patients reveals 30% novel genetic patterns and 6 novel variants.

Khalda Amr, Nagia Fahmy, Ghada El-Kamah

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Khalda AmrMedical Molecular Genetics, Human Genetics and Genome Research Institute, National Research Centre, Egypt. Electronic address: khalda_nrc@yahoo.com.
Nagia FahmyNeurology Ain Shams University, Egypt.
Ghada El-KamahClinical Genetics, Human Genetics and Genome Research Institute, National Research Centre, Egypt. Electronic address: ghadaelkamah@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Duchenne muscular dystrophy (DMD/BMD) is the most common type of muscular dystrophy, together with Becker muscular dystrophy represent more than half of all cases. DMD is a single-gene, X-linked recessive disorder that predominantly affects boys, causing progressive muscle deterioration and eventually leading to fatal cardiopulmonary complications. This study aimed to implement a cost-effective molecular diagnostic method using the SALSA MLPA Kit (probe mixes 034 and 035) to screen a large group of Egyptian DMD patients. The study included 1250 clinically diagnosed DMD males, following complete family history, pedigree analyses and an accurate clinical examination and laboratory investigations mainly considering high levels of creatine phosphokinase (>2000 U/L). We also analysed the carrier status of 100 mothers of 100 probands to gauge the inherited mutation through their patients with familial disease. The negative results of MLPA were further analysed with NGS for ten patients and the results were validated for novel missense mutations, phenotype-genotype correlations were analysed using PolyPhen2 and mutation taster. Results SALSA MLPA analysis confirmed the diagnoses in 733/1250 (58.6 %) DMD patients and the remaining of 517/1250 (41.4%) were negative. DMD patients having large deletions were 632/1250 (50.6%) while duplications occurred in 101/1250 (8%). The most common single exon deletion was 45 (50/632, 7.9%). In addition, 163 different deletion and duplication patterns were characterized among positive MLPA analyses. 30% of our studied cohort exhibited new patterns of rearragements in addition to seven cases of double deletion and duplication rearrangements identified, within nine patients. Using NGS, for small mutations detection, revealed six novel and three previously reported mutations among screened ten patients. In conclusion, our findings expand the spectrum of known DMD mutations by offering an effective diagnostic method and identifying novel point mutations through NGS analysis. We recommend using NGS to uncover uncharacterized mutations in patients who test negative with MLPA, which could contribute to the treatment of DMD.

Indexed as

DMDDystrophinopathiesMLPA

Identifiers

PMID39674649
PMCPMC11585756

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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 Socratic graph.