Evidence map›Paper›PMID 42722677›Full record

SynthesisNature communications2026

Multi-ancestry genetic architecture of heart failure subtypes.

Chang Liu, Qin Hui, Gregorio V Linchangco, Quinn S Wells, Eric Farber-Eger, Danielle Rasooly, J Michael Gaziano, Peter W F Wilson, Arshed A Quyyumi, Viola Vaccarino and 8 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Chang LiuDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-8918-7224
Qin HuiDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-8421-3518
Gregorio V LinchangcoDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Quinn S WellsDivision of Cardiovascular Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.ORCID http://orcid.org/0009-0009-4141-1520
Eric Farber-EgerDivision of Cardiovascular Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.ORCID http://orcid.org/0000-0003-0281-3796
Danielle RasoolyDivision of Aging, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7715-1809
J Michael GazianoDivision of Aging, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Peter W F WilsonDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-5653-7056
Arshed A QuyyumiEmory University School of Medicine, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-8166-679X
Viola VaccarinoDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-9054-0654
Yi-Juan HuDepartment of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-2171-9041
David BenkeserDepartment of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-1019-8343
Kaoru ItoLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0003-1843-773X
Nobuyuki EnzanLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0002-3899-4405
VA Million Veteran Program
Lawrence S PhillipsAtlanta VA Healthcare System, Decatur, GA, USA.ORCID http://orcid.org/0000-0002-6542-8046
Jacob JosephVA Providence Healthcare System, Providence, RI, USA.ORCID http://orcid.org/0000-0002-7279-4896
Yan V SunDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA. yan.v.sun@emory.edu.ORCID http://orcid.org/0000-0002-2838-1824

Funding

Spousal Influences on Subclinical and Clinical Vascular and Myocardial DiseaseP01HL154996 · NHLBI · EMORY UNIVERSITY · PI Kabayam M Venkat Narayan, ARSHED A QUYYUMI · 2022 to 2026
$13.4M
BLRD VA I01 BX004821BLRD VA I01 BX005831CSRD VA I01 CX001737Department of Veterans Affairs | Office of Academic Affiliations, Department of Veterans Affairs (OAA, VA) MVP000, MVP065, CX001737, BX005831, BX004821NHLBI NIH HHS P01 HL154996U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) P01 HL154996
6 · The paper itself

Abstract

Heart failure (HF) affects 6.7 million people in the US and includes two major subtypes, HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF), with distinct genetic architectures. We meta-analyze genome-wide association studies (GWAS) of 38,781 HFrEF cases, 38,163 HFpEF cases, and 526,135 controls across European, African, Hispanic, and Asian ancestries using the Million Veteran Program and Vanderbilt University DNA Databank (BioVU). We identify 46 genome-wide significant loci for HFrEF (9 novel) and 3 loci for HFpEF (1 novel). Four HFrEF loci are detected in African ancestry participants near CD36, SPI1, TRIM48, and SPNS3, with lead SNPs showing low risk-allele frequencies in European populations. In the all-cause HF meta-analysis (200,070 cases, 2,076,466 controls), we identify 136 loci (12 novel). Gene-based tests, tissue enrichment, transcriptome-wide association, and fine-mapping implicate vascular, metabolic, and TGF-β/Smad signaling pathways and nominate candidate causal genes, clarifying shared and subtype-specific risk across ancestries.

Indexed as

Genetic Predisposition to DiseaseHeart FailureAsianBlack or African AmericanGene FrequencyGenome-Wide Association StudyHispanic or LatinoHumansPolymorphism, Single NucleotideStroke VolumeVeteransWhite

Identifiers

PMID42722677
PMCPMC13562571

What OpenQuestion holds

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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.