Evidence map›Paper›PMID 28105587›Full record

ArticleJournal of cardiovascular translational research2017

Phenotype-Specific Association of Single-Nucleotide Polymorphisms with Heart Failure and Preserved Ejection Fraction: a Genome-Wide Association Analysis of the Cardiovascular Health Study.

David P Kao, Laura M Stevens, Michael A Hinterberg, Carsten Görg

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiovascular translational research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Exploration of Potential Genetic Biomarkers for Heart Failure: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Pooled it
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  10. Review
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  12. Precision Medicine for Heart Failure with Preserved Ejection Fraction: An Overview.Journal of cardiovascular translational research · 2017
    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 1 institution in 1 country.

David P KaoUniversity of Colorado School of Medicine, 12700 E 19th Ave Campus Box B-139, Aurora, CO, 80045, USA. David.Kao@ucdenver.edu.
Laura M StevensUniversity of Colorado School of Medicine, 12700 E 19th Ave Campus Box B-139, Aurora, CO, 80045, USA.
Michael A HinterbergUniversity of Colorado School of Medicine, 12700 E 19th Ave Campus Box B-139, Aurora, CO, 80045, USA.
Carsten GörgUniversity of Colorado School of Medicine, 12700 E 19th Ave Campus Box B-139, Aurora, CO, 80045, USA.
University of Colorado Denver · US

Funding

Computational Bioscience Program Training GrantT15LM009451 · NLM · UNIVERSITY OF COLORADO DENVER · PI Katherina Kechris-Mays, Arjun Krishnan · 2007 to 2026
$11.7M
Technology Development for a MolBio Knowledge-BaseR01LM008111 · NLM · UNIVERSITY OF COLORADO DENVER · PI HUNTER, LAWRENCE E · 2004 to 2021
$9.7M
Bio Text NLPR01LM009254 · NLM · UNIVERSITY OF COLORADO DENVER · PI HUNTER, LAWRENCE E · 2006 to 2018
$5.9M
NLM NIH HHS R01 LM008111NLM NIH HHS R01 LM009254NLM NIH HHS T15 LM009451
6 · The paper itself

Abstract

Little is known about genetics of heart failure with preserved ejection fraction (HFpEF) in part because of the many comorbidities in this population. To identify single-nucleotide polymorphisms (SNPs) associated with HFpEF, we analyzed phenotypic and genotypic data from the Cardiovascular Health Study, which profiled patients using a 50,000 SNP array. Results were explored using novel SNP- and gene-centric tools. We performed analyses to determine whether some SNPs were relevant only in certain phenotypes. Among 3804 patients, 7 clinical factors and 9 SNPs were significantly associated with HFpEF; the most notable of which was rs6996224, a SNP associated with transforming growth factor-beta receptor 3. Most SNPs were associated with HFpEF only in the absence of a clinical predictor. Significant SNPs represented genes involved in myocyte proliferation, transforming growth factor-beta/erbB signaling, and extracellular matrix formation. These findings suggest that genetic factors may be more important in some phenotypes than others.

Indexed as

Polymorphism, Single NucleotideAgedComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingGenetic MarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyHeart FailureHumansMaleOligonucleotide Array Sequence AnalysisPhenotypePredictive Value of TestsPrognosisbetaglycanGenetic MarkersProteoglycansReceptors, Transforming Growth Factor betaAtrial fibrillationChronic kidney diseaseChronic obstructive pulmonary diseaseComorbiditiesCoronary artery diseaseGenome-wide association studyHeart failure phenotypeHeart failure with preserved ejection fractionHypertension

Identifiers

PMID28105587
PMCPMC5894815
OpenAlexW2577099815

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.