Evidence map›Paper›PMID 29311597›Full record

ArticleScientific reports2018

Putative functional genes in idiopathic dilated cardiomyopathy.

Nishanth Ulhas Nair, Avinash Das, Uri Amit, Welles Robinson, Seung Gu Park, Mahashweta Basu, Alex Lugo, Jonathan Leor, Eytan Ruppin, Sridhar Hannenhalli

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

10 authors at 2 institutions in 2 countries.

Nishanth Ulhas NairCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA. nnair@umiacs.umd.edu.
Avinash DasCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA.
Uri AmitThe Neufeld Cardiac Research Institute, Tel Aviv University, Tel Aviv-Yafo, Israel.
Welles RobinsonCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA.
Seung Gu ParkCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA.ORCID http://orcid.org/0000-0001-6464-5551
Mahashweta BasuCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA.
Alex LugoCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA.
Jonathan LeorThe Neufeld Cardiac Research Institute, Tel Aviv University, Tel Aviv-Yafo, Israel.
Eytan RuppinCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA.
Sridhar HannenhalliCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA. sridhar@umiacs.umd.edu.
University of Maryland, College Park · USTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic dilated cardiomyopathy (DCM) is a complex disorder with a genetic and an environmental component involving multiple genes, many of which are yet to be discovered. We integrate genetic, epigenetic, transcriptomic, phenotypic, and evolutionary features into a method - Hridaya, to infer putative functional genes underlying DCM in a genome-wide fashion, using 213 human heart genomes and transcriptomes. Many genes identified by Hridaya are experimentally shown to cause cardiac complications. We validate the top predicted genes, via five different genome-wide analyses: First, the predicted genes are associated with cardiovascular functions. Second, their knockdowns in mice induce cardiac abnormalities. Third, their inhibition by drugs cause cardiac side effects in human. Fourth, they tend to have differential exon usage between DCM and normal samples. Fifth, analyzing 213 individual genotypes, we show that regulatory polymorphisms of the predicted genes are associated with elevated risk of cardiomyopathy. The stratification of DCM patients based on cardiac expression of the functional genes reveals two subgroups differing in key cardiac phenotypes. Integrating predicted functional genes with cardiomyocyte drug treatment experiments reveals novel potential drug targets. We provide a list of investigational drugs that target the newly identified functional genes that may lead to cardiac side effects.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAnimalsCardiomyopathy, DilatedComputational BiologyEpigenomicsExonsGene Expression RegulationGenome-Wide Association StudyGenomicsHeart Function TestsHumansMiceMyocytes, CardiacPolymorphism, Single NucleotideReproducibility of Results

Identifiers

PMID29311597
PMCPMC5758757
OpenAlexW2782102630

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.