Evidence map›Paper›PMID 37503172›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Common- and rare-variant genetic architecture of heart failure across the allele frequency spectrum.

David S M Lee, Kathleen M Cardone, David Y Zhang, Noah L Tsao, Sarah Abramowitz, Pranav Sharma, John S DePaolo, Mitchell Conery, Krishna G Aragam, Kiran Biddinger and 26 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

36 authors at 9 institutions in 1 country.

David S M LeeDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0002-8821-9028
Kathleen M CardoneDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
David Y ZhangDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Noah L TsaoDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Sarah AbramowitzDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Pranav SharmaDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
John S DePaoloDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.ORCID 0000-0002-6829-2594
Mitchell ConeryGenomics and Computational Biology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Krishna G AragamCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Kiran BiddingerProgram in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA.
Ozan DilitikasDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Lily Hoffman-AndrewsDivision of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Renae L JudyDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Atlas KhanDivision of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.
Iftikhar KuloDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Megan J PuckelwartzDepartment of Pharmacology, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Nosheen RezaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0002-2942-3731
Benjamin A SatterfieldDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Pankhuri SinghalDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Regeneron Genetics Center
Zoltan P AranyDivision of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Thomas P CappolaDivision of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Eric CarruthDepartment of Translational Data Science and Informatics, Geisinger, Danville, PA.
Sharlene M DayDivision of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Ron DoThe Charles Bronfman Institute for Personalized Medicine, Mount Sinai Icahn School of Medicine, New York, NY.ORCID 0000-0002-3144-3627
Christopher M HaggartyDepartment of Translational Data Science and Informatics, Geisinger, Danville, PA.
Jacob JosephMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA.
Elizabeth M McNallyCenter for Genetic Medicine, Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, IL.
Girish NadkarniDivision of Nephrology, Department of Medicine, Mount Sinai Icahn School of Medicine, New York, NY.
Anjali T OwensCardiovascular Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Daniel J RaderDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.ORCID 0000-0002-9245-9876
Marylyn D RitchieDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Yan V SunDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA.ORCID 0000-0002-2838-1824
Benjamin F VoightDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.ORCID 0000-0002-6205-9994
Michael G LevinDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0002-9937-9932
Scott M DamrauerDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.ORCID 0000-0001-8009-1632
University of Pennsylvania · USCardiovascular Institute of the South · USMayo Clinic in Arizona · USNorthwestern University · USGeisinger Medical Center · USBroad Institute · USEmory University · USBrigham and Women's Hospital · USColumbia University · US

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
CSRD VA IK2 CX001780NCATS NIH HHS UL1 TR001878NCATS NIH HHS UL1 TR004419NHLBI NIH HHS K23 HL166961NHLBI NIH HHS R01 HL141232NHLBI NIH HHS T32 HL007843NIGMS NIH HHS T32 GM007170NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS S10 OD026880NIH HHS S10 OD030463NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

Heart failure (HF) is a complex trait, influenced by environmental and genetic factors, which affects over 30 million individuals worldwide. Historically, the genetics of HF have been studied in Mendelian forms of disease, where rare genetic variants have been linked to familial cardiomyopathies. More recently, genome-wide association studies (GWAS) have successfully identified common genetic variants associated with risk of HF. However, the relative importance of genetic variants across the allele-frequency spectrum remains incompletely characterized. Here, we report the results of common- and rare-variant association studies of all-cause heart failure, applying recently developed methods to quantify the heritability of HF attributable to different classes of genetic variation. We combine GWAS data across multiple populations including 207,346 individuals with HF and 2,151,210 without, identifying 176 risk loci at genome-wide significance (P-value < 5×10

Identifiers

PMID37503172
PMCPMC10371173
OpenAlexW4384695941

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LicenceCC BY-NC-ND
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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.