Evidence map›Paper›PMID 31719299›Full record

ArticleThe Indian journal of medical research2019

Targeted sequencing of the

Sankaramoorthy Aravind, Berty Ashley, Ashraf Mannan, Aparna Ganapathy, Keerthi Ramesh, Aparna Ramachandran, Upendra Nongthomba, Arun Shastry

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Obestatin: canonical and unexpected functions.Reviews in endocrine & metabolic disorders · 2026
    Review
  3. Article
  4. Current Concepts in the Orthopaedic Management of Duchenne Muscular Dystrophy.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Current Pharmacological Strategies for Duchenne Muscular Dystrophy.Frontiers in cell and developmental biology · 2021
    Review
  12. Article
  13. Article
  14. Review
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

8 authors at 2 institutions in 1 country.

Sankaramoorthy AravindDepartment of Molecular Reproduction, Development & Genetics, Indian Institute of Science; Dystrophy Annihilation Research Trust, Bengaluru, Karnataka, India.
Berty AshleyDystrophy Annihilation Research Trust, Bengaluru, Karnataka, India.
Ashraf MannanStrand Life Sciences Private Limited, Bengaluru, Karnataka, India.
Aparna GanapathyStrand Life Sciences Private Limited, Bengaluru, Karnataka, India.
Keerthi RameshDystrophy Annihilation Research Trust, Bengaluru, Karnataka, India.
Aparna RamachandranDystrophy Annihilation Research Trust, Bengaluru, Karnataka, India.
Upendra NongthombaDepartment of Molecular Reproduction, Development & Genetics, Indian Institute of Science, Bengaluru, Karnataka, India.
Arun ShastryDystrophy Annihilation Research Trust, Bengaluru, Karnataka, India.
Indian Institute of Science Bangalore · INStrand Life Sciences (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Duchenne muscular dystrophy (DMD) is an X-linked recessive disorder and is caused mainly by deletion, duplication and point mutations in the DMD gene. Diagnosis of DMD has been a challenge as the mutations in the. DMD: gene are heterogeneous and require more than one diagnostic strategy for the validation of the mutation. This study was planned to evaluate the targeted next-generation sequencing (NGS) as a single platform to detect all types of mutations in the DMD gene, thereby reducing the time and costs compared to conventional sequential testing and also provide precise genetic information for emerging gene therapies. Methods: The study included 20 unrelated families and 22 patients from an Indian population who were screened for DMD based on phenotypes such as scoliosis, toe walking and loss of ambulation. Peripheral blood DNA was isolated and subjected to multiplex ligation-dependent probe amplification (MLPA) and targeted NGS of the DMD gene to identify the nature of the mutation. Results: In the study patients, 77 per cent of large deletion mutations and 23 per cent single-nucleotide variations (SNVs) were identified. Novel mutations were also identified along with reported deletions, point mutations and partial deletions within the exon of the DMD gene. Interpretation & conclusions: Our findings showed the importance of NGS in the routine diagnostic practice in the identification of DMD mutations over sequential testing. It may be used as a single-point diagnostic strategy irrespective of the mutation type, thereby reducing the turnaround time and cost for multiple diagnostic tests such as MLPA and Sanger sequencing. Though MLPA is a sensitive technique and is the first line of a diagnostic test, the targeted NGS of the DMD gene may have an advantage of having a single diagnostic test. A study on a larger number of patients is needed to highlight NGS as a single, comprehensive platform for the diagnosis of DMD.

Indexed as

MutationPolymorphism, Single NucleotideAdolescentChildChild, PreschoolDNA Mutational AnalysisDystrophinExonsGene DeletionGenome, HumanHigh-Throughput Nucleotide SequencingHumansIndiaMaleMultiplex Polymerase Chain ReactionMuscular Dystrophy, DuchenneDMD protein, humanDystrophinDeletions - Duchenne muscular dystrophy - multiplex ligation-dependent probe amplification - next-generation sequencing - partial deletion - single-nucleotide variation

Identifiers

PMID31719299
PMCPMC6886143
OpenAlexW2986167637

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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Registered trials

None linked

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.