Evidence map›Paper›PMID 32732227›Full record

ArticleJournal of medical genetics2021

Data-driven modelling of mutational hotspots and in silico predictors in hypertrophic cardiomyopathy.

Adam Waring, Andrew Harper, Silvia Salatino, Christopher Kramer, Stefan Neubauer, Kate Thomson, Hugh Watkins, Martin Farrall

Abstract read
In one paragraph

Article in Journal of medical genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Adam WaringWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.ORCID 0000-0002-3590-2560
Andrew HarperWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.ORCID 0000-0001-5327-0328
Silvia SalatinoWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Christopher KramerDepartment of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Stefan NeubauerRadcliffe Department of Medicine, University of Oxford, Oxford, UK.
Kate ThomsonOxford Medical Genetics Laboratories, Churchill Hospital, Oxford, UK.
Hugh WatkinsWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Martin FarrallWellcome Centre for Human Genetics, University of Oxford, Oxford, UK martin.farrall@cardiov.ox.ac.uk.

Funding

HCMR Novel Markers of Prognosis in Hypertrophic CardiomyopathyU01HL117006 · NHLBI · UNIVERSITY OF VIRGINIA · PI KRAMER, CHRISTOPHER M., NEUBAUER, STEFAN · 2013 to 2017
$14.5M
British Heart Foundation CH/1992001/6764British Heart Foundation RE/13/1/30181British Heart Foundation RG/07/012/24110British Heart Foundation RG/12/16/29939NHLBI NIH HHS U01 HL117006Wellcome TrustWellcome Trust 203141/Z/16/ZWellcome Trust 203834/Z/16/Z
6 · The paper itself

Abstract

backgroundAlthough rare missense variants in Mendelian disease genes often cluster in specific regions of proteins, it is unclear how to consider this when evaluating the pathogenicity of a gene or variant. Here we introduce methods for gene association and variant interpretation that use this powerful signal.

methodsWe present statistical methods to detect missense variant clustering (

resultsIn simulations, the

conclusionGAMs represent a unified statistical modelling framework to combine burden, clustering and functional information.

Indexed as

Cardiomyopathy, HypertrophicCase-Control StudiesComputer SimulationHumansModels, StatisticalMutation, MissenseSarcomerescardiomyopathyclinical geneticsgenetics

Identifiers

PMID32732227
PMCPMC8327322

What OpenQuestion holds

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LicenceCC BY
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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.