Evidence map›Paper›PMID 27287924›Full record

ArticlePhysiological genomics2016

Relationship of disease-associated gene expression to cardiac phenotype is buffered by genetic diversity and chromatin regulation.

Elaheh Karbassi, Emma Monte, Douglas J Chapski, Rachel Lopez, Manuel Rosa Garrido, Joseph Kim, Nicholas Wisniewski, Christoph D Rau, Jessica J Wang, James N Weiss and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Physiological genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Regression from pathological hypertrophy in mice is sexually dimorphic and stimulus specific.American journal of physiology. Heart and circulatory physiology · 2022
    Article
  3. 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

13 authors at 1 institution in 1 country.

Elaheh KarbassiDepartment of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, California;
Emma MonteDepartment of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, California;
Douglas J ChapskiDepartment of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, California;
Rachel LopezDepartment of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, California;
Manuel Rosa GarridoDepartment of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, California;
Joseph KimDepartment of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, California;
Nicholas WisniewskiDepartment of Integrative Biology and Physiology, David Geffen School of Medicine at UCLA, Los Angeles, California;
Christoph D RauDepartment of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, California;
Jessica J WangDepartment of Medicine/Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, California;
James N WeissDepartment of Medicine/Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, California; Department of Physiology, David Geffen School of Medicine at UCLA, Los Angeles, California.
Yibin WangDepartment of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, California; Department of Medicine/Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, California; Department of Physiology, David Geffen School of Medicine at UCLA, Los Angeles, California.
Aldons J LusisDepartment of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California; Department of Medicine/Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, California; Department of Microbiology Immunology and Molecular Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California; and.
Thomas M VondriskaDepartment of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, California; Department of Medicine/Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, California; Department of Physiology, David Geffen School of Medicine at UCLA, Los Angeles, California tvondriska@mednet.ucla.edu.
University of California, Los Angeles · US

Funding

University of Michigan Postbaccalaureate Research Education Program (UM PREP)R25GM086262 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALLEN, BENJAMIN · 2009 to 2024
$6.1M
Systems Approach to Unraveling the Genetic Basis of Heart FailureR01HL114437 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DENG, MARIO C., KARMA, ALAIN S · 2013 to 2016
$4.7M
Epigenomic Mechanisms of Heart FailureR01HL129639 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VONDRISKA, THOMAS M. · 2015 to 2018
$2.6M
Training in Molecular, Cellular &Integrative PhysiologyT32GM065823 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TIDBALL, JAMES G · 2003 to 2017
$2.1M
NHLBI NIH HHS R01 HL114437NHLBI NIH HHS R01 HL129639NIGMS NIH HHS R25 GM086262NIGMS NIH HHS T32 GM065823
6 · The paper itself

Abstract

Expression of a cohort of disease-associated genes, some of which are active in fetal myocardium, is considered a hallmark of transcriptional change in cardiac hypertrophy models. How this transcriptome remodeling is affected by the common genetic variation present in populations is unknown. We examined the role of genetics, as well as contributions of chromatin proteins, to regulate cardiac gene expression and heart failure susceptibility. We examined gene expression in 84 genetically distinct inbred strains of control and isoproterenol-treated mice, which exhibited varying degrees of disease. Unexpectedly, fetal gene expression was not correlated with hypertrophic phenotypes. Unbiased modeling identified 74 predictors of heart mass after isoproterenol-induced stress, but these predictors did not enrich for any cardiac pathways. However, expanded analysis of fetal genes and chromatin remodelers as groups correlated significantly with individual systemic phenotypes. Yet, cardiac transcription factors and genes shown by gain-/loss-of-function studies to contribute to hypertrophic signaling did not correlate with cardiac mass or function in disease. Because the relationship between gene expression and phenotype was strain specific, we examined genetic contribution to expression. Strikingly, strains with similar transcriptomes in the basal heart did not cluster together in the isoproterenol state, providing comprehensive evidence that there are different genetic contributors to physiological and pathological gene expression. Furthermore, the divergence in transcriptome similarity versus genetic similarity between strains is organ specific and genome-wide, suggesting chromatin is a critical buffer between genetics and gene expression.

Indexed as

AnimalsCardiomegalyChromatinFemaleGene ExpressionGene Expression RegulationGenetic VariationHeartMiceMyocardiumMyocytes, CardiacPhenotypeSignal TransductionTranscription FactorsChromatinTranscription Factorscardiac hypertrophychromatingenetic diversitytranscriptome

Identifiers

PMID27287924
PMCPMC5005461
OpenAlexW2414542754

What OpenQuestion holds

Textmetadata
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.