Evidence map›Paper›PMID 23424115›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2013

Epigenomic model of cardiac enhancers with application to genome wide association studies.

Avinash Das Sahu, Radhouane Aniba, Yen-Pei Christy Chang, Sridhar Hannenhalli

Open access · greenAbstract readValidation Study
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 2 institutions in 1 country.

Avinash Das SahuCenter for Bioinformatics and Computational Biology, University of Maryland, College park, MD 20742, USA.
Radhouane Aniba
Yen-Pei Christy Chang
Sridhar Hannenhalli
University of Maryland, College Park · USUniversity of Maryland, Baltimore · US

Funding

Genetic & Functional Analyses of Hypertension Susceptibility GenesR01HL088120 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI CHANG, YEN PEI CHRISTY · 2007 to 2017
$3.9M
Methods for evolutionary analysis of eukaryotic transcriptional regulationR01GM085226 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HANNENHALLI, SRIDHAR · 2008 to 2011
$1.5M
Conundrums in Transcriptional RegulationR01GM100335 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HANNENHALLI, SRIDHAR · 2012 to 2015
$1.2M
NHLBI NIH HHS R01 HL088120NIGMS NIH HHS R01 GM085226NIGMS NIH HHS R01GM085226NIGMS NIH HHS R01 GM100335
6 · The paper itself

Abstract

Mammalian gene regulation is often mediated by distal enhancer elements, in particular, for tissue specific and developmental genes. Computational identification of enhancers is difficult because they do not exhibit clear location preference relative to their target gene and also because they lack clearly distinguishing genomic features. This represents a major challenge in deciphering transcriptional regulation. Recent ChIP-seq based genome-wide investigation of epigenomic modifications have revealed that enhancers are often enriched for certain epigenomic marks. Here we utilize the epigenomic data in human heart tissue along with validated human heart enhancers to develop a Support Vector Machine (SVM) model of cardiac enhancers. Cross-validation classification accuracy of our model was 84% and 92% on positive and negative sets respectively with ROC AUC = 0.92. More importantly, while P300 binding has been used as gold standard for enhancers, our model can distinguish P300-bound validated enhancers from other P300-bound regions that failed to exhibit enhancer activity in transgenic mouse. While GWAS studies reveal polymorphic regions associated with certain phenotypes, they do not immediately provide causality. Next, we hypothesized that genomic regions containing a GWAS SNP associated with a cardiac phenotype might contain another SNP in a cardiac enhancer, which presumably mediates the phenotype. Starting with a comprehensive set of SNPs associated with cardiac phenotypes in GWAS studies, we scored other SNPs in LD with the GWAS SNP according to its probability of being an enhancer and choose one with best score in the LD as enhancer. We found that our predicted enhancers are enriched for known cardiac transcriptional regulator motifs and are likely to regulate the nearby gene. Importantly, these tendencies are more favorable for the predicted enhancers compared with an approach that uses P300 binding as a marker of enhancer activity.

Indexed as

Enhancer Elements, GeneticEpigenesis, GeneticModels, GeneticAnimalsCell LineComputational BiologyDeoxyribonucleasesGene ExpressionGenome-Wide Association StudyHumansMiceMyocardiumPolymorphism, Single NucleotidePromoter Regions, GeneticSupport Vector MachineDeoxyribonucleases

Identifiers

PMID23424115
PMCPMC3581590
OpenAlexW293047985

What OpenQuestion holds

Textmetadata
LicenceTDM
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.