Evidence map›Paper›PMID 31139960›Full record

ArticleJournal of neurology2019

Mutation pattern in 606 Duchenne muscular dystrophy children with a comparison between familial and non-familial forms: a study in an Indian large single-center cohort.

Kiran Polavarapu, Veeramani Preethish-Kumar, Deepha Sekar, Seena Vengalil, Saraswati Nashi, Niranjan P Mahajan, Priya Treesa Thomas, Arun Sadasivan, Manjusha Warrier, Anupam Gupta and 13 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Mutation spectrum analysis ofF1000Research · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Repurposing Pathogenic Variants ofCurrent genomics · 2019
    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

23 authors.

Kiran PolavarapuDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Veeramani Preethish-KumarDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Deepha SekarDepartment of Molecular Genetics, National Institute of Mental Health and Neurosciences, Bangalore, India.
Seena VengalilDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Saraswati NashiDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Niranjan P MahajanDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Priya Treesa ThomasDepartment of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Bangalore, India.
Arun SadasivanDepartment of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Bangalore, India.
Manjusha WarrierDepartment of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Bangalore, India.
Anupam GuptaDepartment of Neurorehabilitation, National Institute of Mental Health and Neurosciences, Bangalore, India.
Gautham ArunachalDepartment of Human Genetics, National Institute of Mental Health and Neurosciences, Bangalore, India.
Monojit DebnathDepartment of Human Genetics, National Institute of Mental Health and Neurosciences, Bangalore, India.
Muddasu Suhasini KeerthipriyaDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Chevula Pradeep-Chandra-ReddyDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Arpitha PuttegowdaDepartment of Neurophysiology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Anu P JohnDepartment of Neurophysiology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Ajitha TavvalaDepartment of Neurophysiology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Swetha GunasekaranDepartment of Human Genetics, National Institute of Mental Health and Neurosciences, Bangalore, India.
Talakad N SathyaprabhaDepartment of Neurophysiology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Sadanandavalli Retnaswami ChandraDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India.
Boris KramerDepartment of Pediatrics, Maastricht University Medical Center, Maastricht, The Netherlands.
Tammo DelhaasDepartment of Biomedical Engineering, Maastricht University Medical Center, Maastricht, The Netherlands.
Atchayaram NaliniDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India. atchayaramnalini@yahoo.co.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDuchenne muscular dystrophy (DMD) is induced by a wide spectrum of mutations such as exon deletions, duplications and small mutations in the dystrophin gene. This is the first study on the mutational spectrum in a cohort of DMD children from India, with an emphasis to compare the mutations in familial and sporadic forms.

resultsMultiplex ligation-dependent probe amplification (MLPA) and next-generation sequencing (NGS) identified 525 and 70 cases of DMD, respectively, while 11 cases showed absent dystrophin staining with no mutations detected. Families with two or more affected males contributed to 12% of the entire cohort. The mutations comprised of exonic deletions in 492/606 (81.2%), duplications in 33/606 (5.4%) and small mutations (point mutations and INDELs) in 70/606 (11.5%) cases. MLPA identified significantly more larger mutations in sporadic (88.2%) than in familial cases (75.3%). The mutations in NGS were: [nonsense = 40 (57.1%); frameshift = 17 (24.3%); splice variant = 12 (17.1%)]. Nonsense mutations were more common in familial than in sporadic cases: 17.8% vs 10.7%. The familial group reported an earlier onset of disease (2.8 ± 1.7 years) as compared to sporadic cases (3.8 ± 1.6 years).

conclusionMLPA could identify mutations in a high percentage of our DMD children. The preponderance of small mutations was noted to be distinctly higher in the familial group. Intriguingly, the familial form of DMD formed a small percentage of the entire cohort. The reasons could be increasing awareness among parents and physicians with early identification of DMD cases, genetic counseling and prenatal testing.

Indexed as

ChildChild, PreschoolCohort StudiesDatabases, GeneticHumansIndiaMaleMuscular Dystrophy, DuchenneMutationRetrospective StudiesDuchenne muscular dystrophyFamilialIndiaMutation

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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.