Evidence map›Paper›PMID 25179549›Full record

ArticleCirculation. Cardiovascular genetics2014

Targeted analysis of whole genome sequence data to diagnose genetic cardiomyopathy.

Jessica R Golbus, Megan J Puckelwartz, Lisa Dellefave-Castillo, John P Fahrenbach, Viswateja Nelakuditi, Lorenzo L Pesce, Peter Pytel, Elizabeth M McNally

Abstract read
In one paragraph

Article in Circulation. Cardiovascular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
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  4. A lifesaving revolution delayed.Nature genetics · 2024
    Article
  5. Article
  6. Review
  7. TheBiomedicines · 2024
    Article
  8. Identification of a Missense Mutation in theJournal of multidisciplinary healthcare · 2024
    Article
  9. Article
  10. Review
  11. Identification ofInternational journal of molecular sciences · 2021
    Article
  12. Article
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  14. Article
  15. Review
  16. Article
  17. Structure and Function of Filamin C in the Muscle Z-Disc.International journal of molecular sciences · 2020
    Review
  18. Article
  19. Review
  20. 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

8 authors.

Jessica R Golbus *Department of Medicine, Department of Human Genetics, Department of Pathology, The Computation Institute, The University of Chicago & Argonne National Laboratories, Chicago, IL.
Megan J Puckelwartz *Department of Medicine, Department of Human Genetics, Department of Pathology, The Computation Institute, The University of Chicago & Argonne National Laboratories, Chicago, IL.
Lisa Dellefave-CastilloDepartment of Medicine, Department of Human Genetics, Department of Pathology, The Computation Institute, The University of Chicago & Argonne National Laboratories, Chicago, IL.
John P FahrenbachDepartment of Medicine, Department of Human Genetics, Department of Pathology, The Computation Institute, The University of Chicago & Argonne National Laboratories, Chicago, IL.
Viswateja NelakuditiDepartment of Medicine, Department of Human Genetics, Department of Pathology, The Computation Institute, The University of Chicago & Argonne National Laboratories, Chicago, IL.
Lorenzo L PesceDepartment of Medicine, Department of Human Genetics, Department of Pathology, The Computation Institute, The University of Chicago & Argonne National Laboratories, Chicago, IL.
Peter PytelDepartment of Medicine, Department of Human Genetics, Department of Pathology, The Computation Institute, The University of Chicago & Argonne National Laboratories, Chicago, IL.
Elizabeth M McNallyDepartment of Medicine, Department of Human Genetics, Department of Pathology, The Computation Institute, The University of Chicago & Argonne National Laboratories, Chicago, IL.

Funding

Training and education CoreU54AR052646 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI MCNALLY, ELIZABETH M, SWEENEY, H LEE · 2005 to 2020
$24.1M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
SARCOGLYCAN IN MYOPATHY AND MUSCLE MEMBRANE STABILITYR01HL061322 · NHLBI · UNIVERSITY OF CHICAGO · PI MCNALLY, ELIZABETH M · 1999 to 2022
$7.5M
Regulation of TGF - (beta) pathways in muscular dystrophy fibrosisP01NS072027 · NINDS · UNIVERSITY OF CHICAGO · PI HEYDEMANN, AHLKE · 2011 to 2015
$6.2M
CARDIOVASCULAR PATHOPHYSIOLOGY &BIOCHEMISTRY TRAININGT32HL007237 · NHLBI · UNIVERSITY OF CHICAGO · PI GETZ, GODFREY SHALOM · 1985 to 2011
$5.0M
Nuclear membrane protein interaction in heart and muscle diseaseR01HL092443 · NHLBI · UNIVERSITY OF CHICAGO · PI MCNALLY, ELIZABETH M · 2008 to 2011
$1.5M
GENETICS STUDIES OF FAMILIAL DILATED CARDIOMYOPATHYR01HL063783 · NHLBI · UNIVERSITY OF CHICAGO · PI MCNALLY, ELIZABETH M · 2000 to 2003
$947k
The Role of Sulfonylurea Receptor 2 Splice Variants in Myocardial FunctionF32HL097587 · NHLBI · UNIVERSITY OF CHICAGO · PI FAHRENBACH, JOHN P · 2009 to 2011
$151k
NCATS NIH HHS UL1 TR000430NHLBI NIH HHS F32 HL097587NHLBI NIH HHS F32 HL097587.NHLBI NIH HHS R01 HL061322NHLBI NIH HHS R01 HL063783NHLBI NIH HHS R01 HL092443NHLBI NIH HHS T32 HL007237NIAMS NIH HHS U54 AR052646NINDS NIH HHS P01 NS072027
6 · The paper itself

Abstract

backgroundCardiomyopathy is highly heritable but genetically diverse. At present, genetic testing for cardiomyopathy uses targeted sequencing to simultaneously assess the coding regions of >50 genes. New genes are routinely added to panels to improve the diagnostic yield. With the anticipated $1000 genome, it is expected that genetic testing will shift toward comprehensive genome sequencing accompanied by targeted gene analysis. Therefore, we assessed the reliability of whole genome sequencing and targeted analysis to identify cardiomyopathy variants in 11 subjects with cardiomyopathy. METHODS AND

resultsWhole genome sequencing with an average of 37× coverage was combined with targeted analysis focused on 204 genes linked to cardiomyopathy. Genetic variants were scored using multiple prediction algorithms combined with frequency data from public databases. This pipeline yielded 1 to 14 potentially pathogenic variants per individual. Variants were further analyzed using clinical criteria and segregation analysis, where available. Three of 3 previously identified primary mutations were detected by this analysis. In 6 subjects for whom the primary mutation was previously unknown, we identified mutations that segregated with disease, had clinical correlates, and had additional pathological correlation to provide evidence for causality. For 2 subjects with previously known primary mutations, we identified additional variants that may act as modifiers of disease severity. In total, we identified the likely pathological mutation in 9 of 11 (82%) subjects.

conclusionsThese pilot data demonstrate that ≈30 to 40× coverage whole genome sequencing combined with targeted analysis is feasible and sensitive to identify rare variants in cardiomyopathy-associated genes.

Indexed as

Genome, HumanAdaptor Proteins, Signal TransducingAdolescentAdultAlgorithmsCardiomyopathiesChildDatabases, GeneticHigh-Throughput Nucleotide SequencingHumansLIM Domain ProteinsMiddle AgedMyosin Heavy ChainsNAV1.5 Voltage-Gated Sodium ChannelPedigreePolymorphism, Single NucleotideAdaptor Proteins, Signal TransducingLDB3 protein, humanLIM Domain ProteinsMYH11 protein, humanMyosin Heavy ChainsNAV1.5 Voltage-Gated Sodium ChannelSCN5A protein, humancardiomyopathiesgeneticsgenomicshumans

Identifiers

PMID25179549
PMCPMC4270910

What OpenQuestion holds

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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.