Evidence map›Paper›PMID 36517512›Full record

ArticleNature communications2022

Genetic architecture of heart failure with preserved versus reduced ejection fraction.

Jacob Joseph, Chang Liu, Qin Hui, Krishna Aragam, Zeyuan Wang, Brian Charest, Jennifer E Huffman, Jacob M Keaton, Todd L Edwards, Serkalem Demissie and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

55 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  10. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
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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

19 authors.

Jacob JosephMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA. jacob.joseph@va.gov.ORCID 0000-0002-7279-4896
Chang LiuEmory University Rollins School of Public Health, Atlanta, GA, USA.ORCID 0000-0002-8918-7224
Qin HuiEmory University Rollins School of Public Health, Atlanta, GA, USA.ORCID 0000-0002-8421-3518
Krishna AragamMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.ORCID 0000-0003-3223-9131
Zeyuan WangEmory University Rollins School of Public Health, Atlanta, GA, USA.
Brian CharestMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
Jennifer E HuffmanMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.ORCID 0000-0002-9672-2491
Jacob M KeatonCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Todd L EdwardsDivision of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-4318-6119
Serkalem DemissieMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
Luc DjousseMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
Juan P CasasMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
J Michael GazianoMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
Peter W F WilsonAtlanta VA Health Care System, Decatur, GA, USA.
Lawrence S PhillipsAtlanta VA Health Care System, Decatur, GA, USA.
VA Million Veteran Program
Christopher J O'DonnellMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.ORCID 0000-0002-2667-8624
Yan V SunEmory University Rollins School of Public Health, Atlanta, GA, USA. yan.v.sun@emory.edu.ORCID 0000-0002-2838-1824

Funding

BLRD VA I01 BX004821BLRD VA I01 BX005831CSRD VA I01 CX001737
6 · The paper itself

Abstract

Pharmacologic clinical trials for heart failure with preserved ejection fraction have been largely unsuccessful as compared to those for heart failure with reduced ejection fraction. Whether differences in the genetic underpinnings of these major heart failure subtypes may provide insights into the disparate outcomes of clinical trials remains unknown. We utilize a large, uniformly phenotyped, single cohort of heart failure sub-classified into heart failure with reduced and with preserved ejection fractions based on current clinical definitions, to conduct detailed genetic analyses of the two heart failure sub-types. We find different genetic architectures and distinct genetic association profiles between heart failure with reduced and with preserved ejection fraction suggesting differences in underlying pathobiology. The modest genetic discovery for heart failure with preserved ejection fraction (one locus) compared to heart failure with reduced ejection fraction (13 loci) despite comparable sample sizes indicates that clinically defined heart failure with preserved ejection fraction likely represents the amalgamation of several, distinct pathobiological entities. Development of consensus sub-phenotyping of heart failure with preserved ejection fraction is paramount to better dissect the underlying genetic signals and contributors to this highly prevalent condition.

Indexed as

Heart FailureVentricular Dysfunction, LeftHumansStroke Volume

Identifiers

PMID36517512
PMCPMC9751124

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

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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.