In one paragraphArticle in Circulation. Genomic and precision medicine, 2025. 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
6 authors.
Zhanlin ChenFeinberg School of Medicine, Northwestern University, Chicago, IL (Z.C., P.G., A.S.G., G.W.).ORCID 0000-0002-5835-3840 Peter F AzizChildren's Institute Dept of Heart, Vascular and Thoracic Division of Cardiology and Cardiovascular Medicine, Cleveland Clinic Children's, OH (P.F.A.).ORCID 0000-0001-5971-5471 Philip GreenlandFeinberg School of Medicine, Northwestern University, Chicago, IL (Z.C., P.G., A.S.G., G.W.).ORCID 0000-0002-6327-2439 Rod PassmanDivision of Cardiology, Dept of Medicine (P.G., R.P.), Northwestern University, Evanston, IL.ORCID 0000-0001-8718-1534 Adam S GordonFeinberg School of Medicine, Northwestern University, Chicago, IL (Z.C., P.G., A.S.G., G.W.).ORCID 0000-0002-2058-7289 Gregory WebsterFeinberg School of Medicine, Northwestern University, Chicago, IL (Z.C., P.G., A.S.G., G.W.).ORCID 0000-0002-9107-8342 Funding
Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7MPrecision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5MEnhancing 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
$143.7MAdaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6MUniversity of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9MCalifornia Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4MAll of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1MNew York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3MSouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8MSouthern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5MIllinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5MThe New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8MNHLBI NIH HHS R01 HL164773NHLBI NIH HHS UH3 HL165065NIH 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 U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itselfAbstract
backgroundGenetic variation contributes to atrial fibrillation (AF), but its impact may vary with age. The
methodsWe assessed clinical, monogenic, and polygenic associations with AF in a cross-sectional analysis, stratified by age: <45 years (n=22 290), 45 to 60 years (n=26 805), and >60 years (n=51 659). AF was defined as ≥2 Systematized Nomenclature of Medicine-Clinical Terms codes on separate days. We identified pathogenic/likely pathogenic variants in 145 cardiac genes with dominant inheritance and calculated a previously established polygenic risk score. Adjusted for known clinical factors, multivariable analysis quantified associations between monogenic and polygenic factors and AF in each age group.
resultsAmong 100 574 participants (mean age 59±16 years), 7811 (7.8%) had AF, while 92 763 (92%) did not. Monogenic pathogenic/likely pathogenic variants were associated with AF across all age groups, most strongly in participants aged <45 years (odds ratio, 2.1 [95% CI, 1.2-3.2];
conclusionsIn this large cross-sectional study, monogenic variants were associated with AF throughout life, particularly in younger participants, whereas polygenic risk was associated with AF only in older participants. While genetic information added only marginal improvements to AF risk discrimination beyond existing clinical risk factors, monogenic variants were associated with an earlier age of onset in participants with AF.
Indexed as
Atrial FibrillationGenetic VariationAdultAgedAge FactorsCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedMultifactorial InheritanceRisk Factorsadultsatrial fibrillationgenetics, medicalhumanspopulation healthrisk factors
Identifiers
PMID40931808
PMCPMC12646633
What OpenQuestion holds
Textmetadata
LicenceTDM
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