Evidence map›Paper›PMID 23074333›Full record

ArticleCirculation. Cardiovascular genetics2012

Cardiac structural and sarcomere genes associated with cardiomyopathy exhibit marked intolerance of genetic variation.

Stephen Pan, Colleen A Caleshu, Kyla E Dunn, Marcia J Foti, Maura K Moran, Oretunlewa Soyinka, Euan A Ashley

Abstract read
In one paragraph

Article in Circulation. Cardiovascular genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Genetic evaluation of cardiomyopathy: a clinical practice resource of the American College of Medical Genetics and Genomics (ACMG).Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Guideline
  2. Article
  3. Review
  4. Article
  5. Review
  6. Hypoxia Attenuates Pressure Overload-Induced Heart Failure.Journal of the American Heart Association · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. A gene-centric strategy for identifying disease-causing rare variants in dilated cardiomyopathy.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  12. Review
  13. Clinical and Mechanistic Insights Into the Genetics of Cardiomyopathy.Journal of the American College of Cardiology · 2016
    Review
  14. Review
  15. Multidimensional structure-function relationships in human β-cardiac myosin from population-scale genetic variation.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  16. Review
  17. Review
  18. Article
  19. Whole-exome sequencing in undiagnosed genetic diseases: interpreting 119 trios.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
    Article
  20. New approaches to establish genetic causality.Trends in cardiovascular medicine · 2015
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Stephen PanStanford Center for Inherited Cardiovascular Disease, Stanford Hospital & Clinics, CA, USA.
Colleen A Caleshu
Kyla E Dunn
Marcia J Foti
Maura K Moran
Oretunlewa Soyinka
Euan A Ashley

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Comprehensive Sequencing and Analysis of Variation in NHLBI CohortsUC2HL102925 · NHLBI · BROAD INSTITUTE, INC. · PI ALTSHULER, DAVID, GABRIEL, STACEY · 2010 to 2010
$14.7M
UF CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR029890 · NCRR · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2009 to 2011
$14.4M
Northwest Genomics CenterUC2HL102926 · NHLBI · UNIVERSITY OF WASHINGTON · PI GREEN, PHILIP P, NICKERSON, DEBORAH A · 2010 to 2010
$14.0M
Northwest Genomics CenterRC2HL102926 · NHLBI · UNIVERSITY OF WASHINGTON · PI GREEN, PHILIP P, NICKERSON, DEBORAH A · 2009 to 2009
$11.0M
Comprehensive Sequencing and Analysis of Variation in NHLBI CohortsRC2HL102925 · NHLBI · BROAD INSTITUTE, INC. · PI ALTSHULER, DAVID, GABRIEL, STACEY · 2009 to 2009
$10.2M
Integrative genomics of human heart failureR01HL105993 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ASHLEY, EUAN A, CAPPOLA, THOMAS P. · 2011 to 2014
$8.9M
ARRA - NHLBI Lung Cohorts Sequencing ProjectRC2HL102923 · NHLBI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, BARNES, KATHLEEN C · 2009 to 2009
$2.6M
ARRA - NHLBI Lung Cohorts Sequencing ProjectUC2HL102923 · NHLBI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, BARNES, KATHLEEN C · 2010 to 2010
$2.6M
Nanoscale approaches to allelic silencing in myocardial disease statesDP2OD006511 · OD · STANFORD UNIVERSITY · PI ASHLEY, EUAN A · 2009 to 2009
$2.4M
WHI Sequencing Project (WHISP)UC2HL102924 · NHLBI · OHIO STATE UNIVERSITY · PI CARLSON, CHRISTOPHER S, JACKSON, REBECCA D · 2010 to 2010
$2.4M
WHI Sequencing Project (WHISP)RC2HL102924 · NHLBI · OHIO STATE UNIVERSITY · PI CARLSON, CHRISTOPHER S, JACKSON, REBECCA D · 2009 to 2009
$2.1M
NCRR NIH HHS UL1 RR029890NCRR NIH HHS UL1RR029890NHLBI NIH HHS HL-102923NHLBI NIH HHS HL-102924NHLBI NIH HHS HL-102925NHLBI NIH HHS HL-102926NHLBI NIH HHS HL-103010NHLBI NIH HHS R01 HL105993NHLBI NIH HHS R01HL105993NHLBI NIH HHS RC2 HL102923NHLBI NIH HHS RC2 HL102924NHLBI NIH HHS RC2 HL102925NHLBI NIH HHS RC2 HL102926NHLBI NIH HHS RC2 HL103010NHLBI NIH HHS UC2 HL102923NHLBI NIH HHS UC2 HL102924NHLBI NIH HHS UC2 HL102925NHLBI NIH HHS UC2 HL102926NHLBI NIH HHS UC2 HL103010NIH HHS DP2OD004613NIH HHS DP2 OD006511NLM NIH HHS 5T15LM007033NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

backgroundThe clinical significance of variants in genes associated with inherited cardiomyopathies can be difficult to determine because of uncertainty regarding population genetic variation and a surprising amount of tolerance of the genome even to loss-of-function variants. We hypothesized that genes associated with cardiomyopathy might be particularly resistant to the accumulation of genetic variation. METHODS AND

resultsWe analyzed the rates of single nucleotide genetic variation in all known genes from the exomes of >5000 individuals from the National Heart, Lung, and Blood Institute's Exome Sequencing Project, as well as the rates of structural variation from the Database of Genomic Variants. Most variants were rare, with over half unique to 1 individual. Cardiomyopathy-associated genes exhibited a rate of nonsense variants, about 96.1% lower than other Mendelian disease genes. We tested the ability of in silico algorithms to distinguish between a set of variants in MYBPC3, MYH7, and TNNT2 with strong evidence for pathogenicity and variants from the Exome Sequencing Project data. Algorithms based on conservation at the nucleotide level (genomic evolutionary rate profiling, PhastCons) did not perform as well as amino acid-level prediction algorithms (Polyphen-2, SIFT). Variants with strong evidence for disease causality were found in the Exome Sequencing Project data at prevalence higher than expected.

conclusionsGenes associated with cardiomyopathy carry very low rates of population variation. The existence in population data of variants with strong evidence for pathogenicity suggests that even for Mendelian disease genetics, a probabilistic weighting of multiple variants may be preferred over the single gene causality model.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationCardiomyopathiesCodon, NonsenseDatabases, GeneticExomeGene FrequencyHumansMutation, MissenseRNA, MessengerROC CurveSarcomeresCodon, NonsenseRNA, Messenger

Identifiers

PMID23074333
PMCPMC3526690

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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.