Evidence map›Paper›PMID 28223422›Full record

ArticleCirculation research2017

A Potential Oligogenic Etiology of Hypertrophic Cardiomyopathy: A Classic Single-Gene Disorder.

Lili Li, Matthew Neil Bainbridge, Yanli Tan, James T Willerson, Ali J Marian

Open access · bronzeAbstract read
In one paragraph

Article in Circulation research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 58 citations in OpenAlex.

  1. Trial
  2. Hypertrophic Cardiomyopathy is a Disease of Sarcomere Proteins.Methodist DeBakey cardiovascular journal · 2026
    Review
  3. What Should a Clinical Cardiologist Know About Cardiogenetics?Journal of the American Heart Association · 2025
    Review
  4. Review
  5. Article
  6. Understanding inherited cardiomyopathies: clinical aspects and genetic determinants.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2025
    Article
  7. Article
  8. Article
  9. Article
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  12. Article
  13. Review
  14. Article
  15. Article
  16. Using machine learning to find genes associated with sudden death.Frontiers in cardiovascular medicine · 2022
    Article
  17. Article
  18. Article
  19. Article
  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

5 authors at 1 institution in 1 country.

Lili LiFrom the Center for Cardiovascular Genetics, Institute of Molecular Medicine and Department of Medicine, University of Texas Health Sciences Center at Houston, and Texas Heart Institute.
Matthew Neil BainbridgeFrom the Center for Cardiovascular Genetics, Institute of Molecular Medicine and Department of Medicine, University of Texas Health Sciences Center at Houston, and Texas Heart Institute.
Yanli TanFrom the Center for Cardiovascular Genetics, Institute of Molecular Medicine and Department of Medicine, University of Texas Health Sciences Center at Houston, and Texas Heart Institute.
James T WillersonFrom the Center for Cardiovascular Genetics, Institute of Molecular Medicine and Department of Medicine, University of Texas Health Sciences Center at Houston, and Texas Heart Institute.
Ali J MarianFrom the Center for Cardiovascular Genetics, Institute of Molecular Medicine and Department of Medicine, University of Texas Health Sciences Center at Houston, and Texas Heart Institute. Ali.J.Marian@uth.tmc.edu.
The University of Texas Health Science Center at Houston · US

Funding

Pathogenic Role of Selected Cardiac Myocyte- and Fibroblast-Specific Epigenetic Changes in LaminopathiesR01HL132401 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Ali J Marian · 2016 to 2026
$6.0M
Canonical Wnt Signaling in Pathogenesis and Rescue of ARVC PhenotypeR01HL088498 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MARIAN, ALI J · 2008 to 2017
$3.4M
Hypertrophy Regression with N-Acetylcysteine in Hypertrophic CardiomyopathyR34HL105563 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MARIAN, ALI J · 2012 to 2014
$569k
NHLBI NIH HHS R01 HL088498NHLBI NIH HHS R01 HL132401NHLBI NIH HHS R34 HL105563
6 · The paper itself

Abstract

rationaleHypertrophic cardiomyopathy (HCM) is a prototypic single-gene disease caused mainly by mutations in genes encoding sarcomere proteins. Despite the remarkable advances, the causal genes in ≈40% of the HCM cases remain unknown, typically in small families and sporadic cases, wherein cosegregation could not be established.

objectiveTo test the hypothesis that the missing causal genes in HCM is, in part, because of an oligogenic cause, wherein the pathogenic variants do not cosegregate with the phenotype. METHODS AND

resultsA clinically affected trio with HCM underwent clinical evaluation, electrocardiography, echocardiography, magnetic resonance imaging, and whole exome sequencing. Pathogenic variants in the whole exome sequencing data were identified using established algorithms. Family members were genotyped by Sanger sequencing and cosegregation was analyzed. The siblings had a severe course, whereas the mother had a mild course. Variant analysis showed that the trio shared 145 heterozygous pathogenic variants in 139 genes, including 2 in cardiomyopathy genes

conclusionsWe posit that a subset of HCM might be oligogenic caused by multiple pathogenic variants that do not perfectly cosegregate with the phenotype.

Indexed as

AdultCardiac MyosinsCardiomyopathy, HypertrophicChildConnectinExomeFemaleHeterozygoteHomozygoteHumansMaleMuscle ProteinsMutationMyosin Light ChainsPedigreePhenotypeAlpk3 protein, humanCardiac MyosinsConnectinMuscle Proteinsmyosin light chain 2Myosin Light ChainsProtein KinasesTTN protein, humanbioinformaticscardiomyopathyechocardiographyexomegenetic testingsiblings

Identifiers

PMID28223422
PMCPMC5380229
OpenAlexW2638131009

What OpenQuestion holds

Textmetadata
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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.