Evidence map›Paper›PMID 38258344›Full record

ArticleESC heart failure2024

A polygenic risk score of atrial fibrillation improves prediction of lifetime risk for heart failure.

Taryn Alkis, Xi Luo, Katherine Wall, Jennifer Brody, Traci Bartz, Patricia P Chang, Faye L Norby, Ron C Hoogeveen, Alanna C Morrison, Christie M Ballantyne and 5 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Clinical utility of polygenic risk scores in cardiovascular disorders.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 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

15 authors at 7 institutions in 2 countries.

Taryn AlkisDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Xi LuoDepartment of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Katherine WallDepartment of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Jennifer BrodyCardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
Traci BartzCardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA.
Patricia P ChangDivision of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Faye L NorbyDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.
Ron C HoogeveenDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA.
Alanna C MorrisonDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Christie M BallantyneDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Eric BoerwinkleDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Bruce M PsatyCardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
Amil M ShahDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA.
Bing YuDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID https://orcid.org/0000-0003-4818-1077
The University of Texas Health Science Center at Houston · USBaylor College of Medicine · USUniversity of Washington · USJohns Hopkins University · USSouthwestern Medical Center · USUniversity of Minnesota · USUniversity of North Carolina at Chapel Hill · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
Mapping the Progression to HFpEF in the Elderly through Longitudinal Changes in Cardiac FunctionR01HL135008 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Amil M Shah · 2017 to 2026
$11.5M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
CARDIOVASCULAR HEALTH STUDY (CHS) - TASK AREA C, STUDY CLOSEOUT75N92021D00006 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE · 2021 to 2024
$8.4M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
Prospective meta-analyses of drug-gene interactions: CHARGE GWAS consortiumR01HL103612 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2011 to 2014
$5.4M
WGA Study to Identify Genetic Variants Associated with CV Events in CHSR01HL087652 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2009
$5.1M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
NCRR NIH HHS UL1 RR025005NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01HG004402NHLBI NIH HHS 75N92021D00006NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS K01 HL164764NHLBI NIH HHS K24 HL152008NHLBI NIH HHS K24HL152008NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01HC55222NHLBI NIH HHS N01HC85079NHLBI NIH HHS N01HC85080NHLBI NIH HHS N01HC85081NHLBI NIH HHS N01HC85082NHLBI NIH HHS N01HC85083NHLBI NIH HHS N01HC85086NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01HL059367NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01HL087641NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01HL087652NHLBI NIH HHS R01 HL103612NHLBI NIH HHS R01HL103612NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01HL105756NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01HL120393NHLBI NIH HHS R01 HL134320NHLBI NIH HHS R01HL134320NHLBI NIH HHS R01 HL135008NHLBI NIH HHS R01HL135008NHLBI NIH HHS R01 HL141824NHLBI NIH HHS R01HL141824NHLBI NIH HHS R01 HL143224NHLBI NIH HHS R01HL143224NHLBI NIH HHS R01 HL148218NHLBI NIH HHS R01HL148218NHLBI NIH HHS R01 HL150342NHLBI NIH HHS R01HL150342NHLBI NIH HHS R01 HL160793NHLBI NIH HHS R01HL160793NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01HL080295NHLBI NIH HHS U01 HL130114NHLBI NIH HHS U01HL130114NIA NIH HHS R01 AG023629NIA NIH HHS R01AG023629NIH HHS HHSN268200625226CNIH HHS HHSN268201700001INIH HHS HHSN268201700002INIH HHS HHSN268201700003INIH HHS HHSN268201700004INIH HHS HHSN268201700005INIH HHS UL1RR025005
6 · The paper itself

Abstract

aimsHeart failure (HF) has shared genetic architecture with its risk factors: atrial fibrillation (AF), body mass index (BMI), coronary heart disease (CHD), systolic blood pressure (SBP), and type 2 diabetes (T2D). We aim to assess the association and risk prediction performance of risk-factor polygenic risk scores (PRSs) for incident HF and its subtypes in bi-racial populations. METHODS AND

resultsFive PRSs were constructed for AF, BMI, CHD, SBP, and T2D in White participants of the Atherosclerosis Risk in Communities (ARIC) study. The associations between PRSs and incident HF and its subtypes were assessed using Cox models, and the risk prediction performance of PRSs was assessed using C statistics. Replication was performed in the ARIC study Black and Cardiovascular Health Study (CHS) White participants. In 8624 ARIC study Whites, 1922 (31% cumulative incidence) HF cases developed over 30 years of follow-up. PRSs of AF, BMI, and CHD were associated with incident HF (P < 0.001), where PRS

conclusionsThe PRS

Indexed as

AtherosclerosisAtrial FibrillationCoronary DiseaseDiabetes Mellitus, Type 2Heart FailureGenetic Risk ScoreHumansRisk FactorsCohortHeart failurePolygenic risk scoreRisk prediction

Identifiers

PMID38258344
PMCPMC10966276
OpenAlexW4391143204

What OpenQuestion holds

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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.