Evidence map›Paper›PMID 28173822›Full record

ArticleOrphanet journal of rare diseases2017

An example of the utility of genomic analysis for fast and accurate clinical diagnosis of complex rare phenotypes.

Polona Le Quesne Stabej, Chela James, Louise Ocaka, Mehmet Tekman, Stephanie Grunewald, Emma Clement, Horia C Stanescu, Robert Kleta, Deborah Morrogh, Alistair Calder and 2 more

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2017. 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
1.8field-weighted citation impact, top 15% 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, 18 citations in OpenAlex.

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  12. Identification of a Potential Founder Effect of a NovelInternational journal of molecular sciences · 2019
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  13. Mutations That Alter the Carboxy-Terminal-Propeptide Cleavage Site of the Chains of Type I Procollagen Are Associated With a Unique Osteogenesis Imperfecta Phenotype.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2018
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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 4 institutions in 1 country.

Polona Le Quesne StabejGenetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Chela JamesGenetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Louise OcakaGenetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Mehmet TekmanDivision of Medicine, UCL, London, UK.
Stephanie GrunewaldDepartment of Paediatric Metabolic Medicine, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Emma ClementNorth East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Horia C StanescuDivision of Medicine, UCL, London, UK.
Robert KletaDivision of Medicine, UCL, London, UK.
Deborah MorroghNorth East Thames Regional Genetics Laboratory, London, UK.
Alistair CalderRadiology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Hywel J WilliamsGenetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Maria Bitner-GlindziczGenetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK. maria.bitner@ucl.ac.uk.
University College London · GBGreat Ormond Street Hospital for Children NHS Foundation Trust · GBGreat Ormond Street Hospital · GBWessex Regional Genetics Laboratory · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe describe molecular diagnosis in a complex consanguineous family: four offspring presented with combinations of three distinctive phenotypes; non-syndromic hearing loss (NSHL), an unusual skeletal phenotype comprising multiple fractures, cranial abnormalities and diaphyseal expansion, and significant developmental delay with microcephaly. We performed Chromosomal Microarray Analysis on the offspring with either the skeletal or developmental delay phenotypes, and linkage analysis and whole exome sequencing (WES) on all four children, parents and maternal aunt.

resultsChromosomal microarray and FISH analysis identified a de novo unbalanced translocation as a cause of the microcephaly and severe developmental delay. WES identified a NSHL-causing splice variant in an autosomal recessive deafness gene PDZD7 which resided in a linkage region and affected three of the children. In the two children diagnosed with an unusual skeletal phenotype, WES eventually disclosed a heterozygous COL1A1 variant which affects C-propetide cleavage site of COL1. The variant was inherited from an apparently unaffected mosaic father in an autosomal dominant fashion. After the discovery of the COL1A1 variant, the skeletal phenotype was diagnosed as a high bone mass form of osteogenesis imperfecta.

conclusionsNext generation sequencing offers an unbiased approach to molecular genetic diagnosis in highly heterogeneous and poorly characterised disorders and enables early diagnosis as well as detection of mosaicism.

Indexed as

GenomicsChild, PreschoolConsanguinityDevelopmental DisabilitiesExome SequencingGene Expression RegulationHearing LossHumansMutationRare DiseasesSiblingsAutosomal recessive non-syndromic hearing lossCOL1A1 C-propeptide cleavage siteMosaicismNext generation sequencingOsteogenesis imperfectaPDZD7

Identifiers

PMID28173822
PMCPMC5297239
OpenAlexW2586447962

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.