Evidence map›Paper›PMID 27604308›Full record

ArticleBrain : a journal of neurology2016

Advantages and pitfalls of an extended gene panel for investigating complex neurometabolic phenotypes.

Emma S Reid, Apostolos Papandreou, Suzanne Drury, Christopher Boustred, Wyatt W Yue, Yehani Wedatilake, Clare Beesley, Thomas S Jacques, Glenn Anderson, Lara Abulhoul and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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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

19 authors at 3 institutions in 1 country.

Emma S ReidGenetics and Genomics Medicine Programme, UCL Institute of Child Health, London, UK.
Apostolos PapandreouGenetics and Genomics Medicine Programme, UCL Institute of Child Health, London, UK.
Suzanne DruryNorth East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Christopher BoustredNorth East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Wyatt W YueStructural Genomics Consortium, University of Oxford, Oxford, UK.
Yehani WedatilakeGenetics and Genomics Medicine Programme, UCL Institute of Child Health, London, UK.
Clare BeesleyNorth East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Thomas S JacquesHistopathology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Glenn AndersonHistopathology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Lara AbulhoulMetabolic Medicine Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Alex BroomfieldMetabolic Medicine Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Maureen ClearyMetabolic Medicine Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Stephanie GrunewaldGenetics and Genomics Medicine Programme, UCL Institute of Child Health, London, UK.
Sophia M VaradkarNeurology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Nick LenchNorth East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Shamima RahmanGenetics and Genomics Medicine Programme, UCL Institute of Child Health, London, UK.
Paul GissenGenetics and Genomics Medicine Programme, UCL Institute of Child Health, London, UK.
Peter T ClaytonGenetics and Genomics Medicine Programme, UCL Institute of Child Health, London, UK.
Philippa B MillsGenetics and Genomics Medicine Programme, UCL Institute of Child Health, London, UK.
Great Ormond Street Hospital for Children NHS Foundation Trust · GBGenomics England · GBUniversity of Oxford · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Neurometabolic disorders are markedly heterogeneous, both clinically and genetically, and are characterized by variable neurological dysfunction accompanied by suggestive neuroimaging or biochemical abnormalities. Despite early specialist input, delays in diagnosis and appropriate treatment initiation are common. Next-generation sequencing approaches still have limitations but are already enabling earlier and more efficient diagnoses in these patients. We designed a gene panel targeting 614 genes causing inborn errors of metabolism and tested its diagnostic efficacy in a paediatric cohort of 30 undiagnosed patients presenting with variable neurometabolic phenotypes. Genetic defects that could, at least partially, explain observed phenotypes were identified in 53% of cases. Where biochemical abnormalities pointing towards a particular gene defect were present, our panel identified diagnoses in 89% of patients. Phenotypes attributable to defects in more than one gene were seen in 13% of cases. The ability of in silico tools, including structure-guided prediction programmes to characterize novel missense variants were also interrogated. Our study expands the genetic, clinical and biochemical phenotypes of well-characterized (POMGNT1, TPP1) and recently identified disorders (PGAP2, ACSF3, SERAC1, AFG3L2, DPYS). Overall, our panel was accurate and efficient, demonstrating good potential for applying similar approaches to clinically and biochemically diverse neurometabolic disease cohorts.

Indexed as

Genetic Predisposition to DiseaseAdolescentBrain Diseases, MetabolicChildChild, PreschoolCohort StudiesFemaleGenetic TestingGenotypeHumansImaging, Three-DimensionalInfantMagnetic Resonance ImagingMaleMetabolism, Inborn ErrorsPhenotypeTripeptidyl-Peptidase 1gene panelheterogeneityinborn errors of metabolismneurometabolic disordersnext-generation sequencing

Identifiers

PMID27604308
PMCPMC5091046
OpenAlexW2513920725

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.