Evidence map›Paper›PMID 26888179›Full record

ArticleJournal of cardiovascular translational research2016

Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes.

Chee Jian Pua, Jaydutt Bhalshankar, Kui Miao, Roddy Walsh, Shibu John, Shi Qi Lim, Kingsley Chow, Rachel Buchan, Bee Yong Soh, Pei Min Lio and 8 more

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Journal of cardiovascular translational research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
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  9. The role of noncoding genetic variants in cardiomyopathy.Frontiers in cardiovascular medicine · 2023
    Review
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  19. Diagnostic yield of hypertrophic cardiomyopathy in first-degree relatives of decedents with idiopathic left ventricular hypertrophy.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Chee Jian PuaNational Heart Research Institute Singapore, National Heart Centre Singapore, 168752, Singapore, Singapore.
Jaydutt BhalshankarNational Heart Research Institute Singapore, National Heart Centre Singapore, 168752, Singapore, Singapore.
Kui MiaoDivision of Cardiovascular & Metabolic Disorders, Duke-National University of Singapore, 169857, Singapore, Singapore.
Roddy WalshNIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, London, SW3 6NP, UK.
Shibu JohnNIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, London, SW3 6NP, UK.
Shi Qi LimNational Heart Research Institute Singapore, National Heart Centre Singapore, 168752, Singapore, Singapore.
Kingsley ChowNational Heart Research Institute Singapore, National Heart Centre Singapore, 168752, Singapore, Singapore.
Rachel BuchanNIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, London, SW3 6NP, UK.
Bee Yong SohNational Heart Research Institute Singapore, National Heart Centre Singapore, 168752, Singapore, Singapore.
Pei Min LioNational Heart Research Institute Singapore, National Heart Centre Singapore, 168752, Singapore, Singapore.
Jaclyn LimNational Heart Research Institute Singapore, National Heart Centre Singapore, 168752, Singapore, Singapore.
Sebastian SchaferNational Heart Research Institute Singapore, National Heart Centre Singapore, 168752, Singapore, Singapore.
Jing Quan LimDivision of Medical Sciences, National Cancer Centre Singapore, 169610, Singapore, Singapore.
Patrick TanDivision of Cancer and Stem Cell Biology, Duke-National University of Singapore, 169857, Singapore, Singapore.
Nicola WhiffinNIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, London, SW3 6NP, UK.
Paul J BartonNIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, London, SW3 6NP, UK.
James S WareNational Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK.
Stuart A CookNational Heart Research Institute Singapore, National Heart Centre Singapore, 168752, Singapore, Singapore. stuart.cook@singhealth.com.sg.

Funding

British Heart Foundation FS/13/13/29819British Heart Foundation FS/15/81/31817British Heart Foundation SP/10/10/28431Department of HealthMedical Research Council MC_U120085815Wellcome Trust
6 · The paper itself

Abstract

Inherited cardiac conditions (ICCs) are characterised by marked genetic and allelic heterogeneity and require extensive sequencing for genetic characterisation. We iteratively optimised a targeted gene capture panel for ICCs that includes disease-causing, putatively pathogenic, research and phenocopy genes (n = 174 genes). We achieved high coverage of the target region on both MiSeq (>99.8% at ≥ 20× read depth, n = 12) and NextSeq (>99.9% at ≥ 20×, n = 48) platforms with 100% sensitivity and precision for single nucleotide variants and indels across the protein-coding target on the MiSeq. In the final assay, 40 out of 43 established ICC genes informative in clinical practice achieved complete coverage (100 % at ≥ 20×). By comparison, whole exome sequencing (WES; ∼ 80×), deep WES (∼ 500×) and whole genome sequencing (WGS; ∼ 70×) had poorer performance (88.1, 99.2 and 99.3% respectively at ≥ 20×) across the ICC target. The assay described here delivers highly accurate and affordable sequencing of ICC genes, complemented by accessible cloud-based computation and informatics. See Editorial in this issue (DOI: 10.1007/s12265-015-9667-8 ).

Indexed as

MutationPolymorphism, Single NucleotideCloud ComputingComputational BiologyDatabases, GeneticDNA Mutational AnalysisExomeGenetic MarkersGenetic Predisposition to DiseaseHeart DiseasesHeredityHigh-Throughput Nucleotide SequencingHumansLondonPhenotypePredictive Value of TestsGenetic MarkersDiagnosticsGeneticsInherited cardiac conditionsTargeted sequencingWhole exome sequencingWhole genome sequencing

Identifiers

PMID26888179
PMCPMC4767849

What OpenQuestion holds

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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.