Evidence map›Paper›PMID 26380986›Full record

ArticlePloS one2015

Use of Targeted Exome Sequencing for Molecular Diagnosis of Skeletal Disorders.

Daniel L Polla, Maria T O Cardoso, Mayara C B Silva, Isabela C C Cardoso, Cristina T N Medina, Rosenelle Araujo, Camila C Fernandes, Alessandra M M Reis, Rosangela V de Andrade, Rinaldo W Pereira and 1 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Genetic approaches to metabolic bone diseases.British journal of clinical pharmacology · 2019
    Review
  10. Article
  11. Article
  12. 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

11 authors.

Daniel L PollaPrograma de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Distrito Federal, Brazil.
Maria T O CardosoNúcleo de Genética da Secretaria de Saúde do Distrito Federal, Brasília, Distrito Federal, Brazil; Curso de Medicina, Universidade Católica de Brasília, Taguatinga, Distrito Federal, Brazil.
Mayara C B SilvaPrograma de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Distrito Federal, Brazil.
Isabela C C CardosoPrograma de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Distrito Federal, Brazil.
Cristina T N MedinaNúcleo de Genética da Secretaria de Saúde do Distrito Federal, Brasília, Distrito Federal, Brazil.
Rosenelle AraujoNúcleo de Genética da Secretaria de Saúde do Distrito Federal, Brasília, Distrito Federal, Brazil.
Camila C FernandesDepartamento de Tecnologia, Laboratório Multiusuário Centralizado para Sequenciamento de DNA em Larga Escala e Análise de Expressão Gênica, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Campus Jaboticabal, Jaboticabal, São Paulo, Brazil.
Alessandra M M ReisPrograma de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Distrito Federal, Brazil.
Rosangela V de AndradePrograma de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Distrito Federal, Brazil.
Rinaldo W PereiraPrograma de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Distrito Federal, Brazil.
Robert PoguePrograma de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Distrito Federal, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic disorders of the skeleton comprise a large group of more than 450 clinically distinct and genetically heterogeneous diseases associated with mutations in more than 300 genes. Achieving a definitive diagnosis is complicated due to the genetic heterogeneity of these disorders, their individual rarity and their diverse radiographic presentations. We used targeted exome sequencing and designed a 1.4 Mb panel for simultaneous testing of more than 4,800 exons in 309 genes involved in skeletal disorders. DNA from 69 individuals from 66 families with a known or suspected clinical diagnosis of a skeletal disorder was analyzed. Of 36 cases with a specific clinical hypothesis with a known genetic basis, mutations were identified for eight cases (22%). Of 20 cases with a suspected skeletal disorder but without a specific diagnosis, four causative mutations were identified. Also included were 11 cases with a specific skeletal disorder but for which there was at the time no known associated gene. For these cases, one mutation was identified in a known skeletal disease genes, and re-evaluation of the clinical phenotype in this case changed the diagnoses from osteodysplasia syndrome to Apert syndrome. These results suggest that the NGS panel provides a fast, accurate and cost-effective molecular diagnostic tool for identifying mutations in a highly genetically heterogeneous set of disorders such as genetic skeletal disorders. The data also stress the importance of a thorough clinical evaluation before DNA sequencing. The strategy should be applicable to other groups of disorders in which the molecular basis is largely known.

Indexed as

Bone Diseases, DevelopmentalCohort StudiesDNA Mutational AnalysisExomeGenetic Diseases, InbornGenetic Predisposition to DiseaseGenetic TestingHumansMolecular Diagnostic TechniquesPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID26380986
PMCPMC4575211

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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.