Evidence map›Paper›PMID 35544069›Full record

ArticleJAMA cardiology2022

Mortality Among Patients With Early-Onset Atrial Fibrillation and Rare Variants in Cardiomyopathy and Arrhythmia Genes.

Zachary T Yoneda, Katherine C Anderson, Fei Ye, Joseph A Quintana, Matthew J O'Neill, Richard A Sims, Lili Sun, Andrew M Glazer, Giovanni Davogustto, Majd El-Harasis and 12 more

Open access · hybridAbstract read
In one paragraph

Article in JAMA cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  9. Genomic medicine for heart failure prediction in patients with atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
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  16. Atrial cardiomyopathy revisited-evolution of a concept: a clinical consensus statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), the Asian Pacific Heart Rhythm Society (APHRS), and the Latin American Heart Rhythm Society (LAHRS).Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Article
  17. Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 5 institutions in 1 country.

Zachary T YonedaDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Katherine C AndersonDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Fei YeDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Joseph A QuintanaDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Matthew J O'NeillVanderbilt University School of Medicine, Nashville, Tennessee.
Richard A SimsDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Lili SunDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Andrew M GlazerDepartment of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee.
Giovanni DavogusttoDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Majd El-HarasisDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
James L LawsDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Brittany N SaldivarDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Diane M CrawfordDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Thomas StrickerDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee.
Quinn WellsDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Dawood DarbarDepartment of Medicine, Division of Cardiology, University of Illinois at Chicago.
Gregory F MichaudDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Lynne W StevensonDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Steven A LubitzCardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Patrick T EllinorCardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Dan M RodenDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
M Benjamin ShoemakerDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Vanderbilt University Medical Center · USBroad Institute · USMassachusetts General Hospital · USUniversity of Illinois Chicago · USVanderbilt University · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
Probing Phenotype-Genotype Relations After Whole Genome Sequencing in Patients with Atrial FibrillationR01HL155197 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHOEMAKER, MOORE BENJAMIN · 2021 to 2025
$4.1M
A pipeline for identifying disease-causing variants in transmembrane proteinsR00HG010904 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, ANDREW M. · 2022 to 2024
$737k
NCATS NIH HHS UL1 TR002243NHGRI NIH HHS R00 HG010904NHLBI NIH HHS R01 HL155197NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM152284
6 · The paper itself

Abstract

Importance: Patients with early-onset atrial fibrillation (AF) are enriched for rare variants in cardiomyopathy and arrhythmia genes. The clinical significance of these rare variants in patients with early-onset AF is unknown. Objective: To assess the association between rare variants in cardiomyopathy and arrhythmia genes detected in patients with early-onset AF and time to death. Design, Setting, and Participants: This prospective cohort study included participants with AF diagnosed before 66 years of age who underwent whole-genome sequencing through the National Heart, Lung and Blood Institute's Trans-Omics for Precision Medicine program. Participants were enrolled from November 23, 1999, to June 2, 2015. Data were analyzed from February 26 to September 19, 2021. Exposures: Rare variants identified in a panel of 145 genes that are included in cardiomyopathy and arrhythmia panels used by commercial clinical genetic testing laboratories. Main Outcomes and Measures: The primary study outcome was time to death and was adjudicated from medical records and the National Death Index. Multivariable Cox proportional hazards regression was used to evaluate the association of disease-associated variants with risk of death after adjustment for age at AF diagnosis, sex, race, body mass index, left ventricular ejection fraction, and an interaction term of age at AF diagnosis and disease-associated variant status. Results: Among 1293 participants (934 [72%] male; median age at enrollment, 56.0 years; IQR, 48.0-61.0 years), disease-associated (pathogenic or likely pathogenic) rare variants were found in 131 (10%). During a median follow-up of 9.9 years (IQR, 6.9-13.2 years), 219 participants (17%) died. In univariable analysis, disease-associated variants were associated with an increased risk of mortality (hazard ratio, [HR], 1.5; 95% CI, 1.0-2.1; P = .05); the association remained significant in multivariable modeling when adjusted for age at AF diagnosis, sex, race, body mass index, left ventricular ejection fraction, and an interaction term between disease-associated variant status and age at AF diagnosis. The interaction demonstrated that disease-associated variants were associated with a significantly higher risk of mortality compared with no disease-associated variant when AF was diagnosed at a younger age (P = .008 for interaction). Higher body mass index (per IQR: HR, 1.4; 95% CI, 1.2-1.6; P < .001) and lower left ventricular ejection fraction (per IQR: HR, 0.8; 95% CI, 0.7-0.8; P < .001) were associated with higher mortality risk. There were 73 cardiomyopathy-related deaths, 40 sudden deaths, and 10 stroke-related deaths. Mortality among patients with the most prevalent genes with disease-associated variants was 26% (10 of 38 patients) for TTN, 33% (6 of 18) for MYH7, 22% (2 of 9) for LMNA, 0% (0 of 10) for MYH6, and 0% (0 of 8) for KCNQ1. Conclusions and Relevance: The findings suggest that rare variants in cardiomyopathy and arrhythmia genes may be associated with increased risk of mortality among patients with early-onset AF, especially those diagnosed at a younger age. Genetic testing may provide important prognostic information for patients with early-onset AF.

Indexed as

Atrial FibrillationCardiomyopathiesFemaleHumansMaleProspective StudiesStroke VolumeVentricular Function, Left

Identifiers

PMID35544069
PMCPMC9096694
OpenAlexW4280624727

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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.