Evidence map›Paper›PMID 29622589›Full record

ArticleJournal of the American Heart Association2018

Genome-Wide Associations of Global Electrical Heterogeneity ECG Phenotype: The ARIC (Atherosclerosis Risk in Communities) Study and CHS (Cardiovascular Health Study).

Larisa G Tereshchenko, Nona Sotoodehnia, Colleen M Sitlani, Foram N Ashar, Muammar Kabir, Mary L Biggs, Michael P Morley, Jonathan W Waks, Elsayed Z Soliman, Alfred E Buxton and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Shared genetic associations between CHAInternational journal of cardiology. Cardiovascular risk and prevention · 2025
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  8. Digitizing ECG image: A new method and open-source software code.Computer methods and programs in biomedicine · 2022
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  10. Exome sequencing in patient-parent trios suggests new candidate genes for early-onset primary sclerosing cholangitis.Liver international : official journal of the International Association for the Study of the Liver · 2021
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  15. Going Deep With ECG and Aortic Stenosis: Touchdown or Incomplete Pass?Journal of the American Heart Association · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Vectorcardiogram in athletes: The Sun Valley Ski Study.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2019
    Article
  20. Review
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

16 authors at 9 institutions in 1 country.

Larisa G TereshchenkoKnight Cardiovascular Institute, Oregon Health & Science University, Portland, OR tereshch@ohsu.edu arking@jhmi.edu.
Nona SotoodehniaCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.
Colleen M SitlaniCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.
Foram N AsharMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Muammar KabirKnight Cardiovascular Institute, Oregon Health & Science University, Portland, OR.
Mary L BiggsCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.
Michael P MorleyPenn Cardiovascular Institute and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Jonathan W WaksDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center Harvard Medical School, Boston, MA.
Elsayed Z SolimanCardiology Section, Division of Public Health Sciences and Department of Medicine, Epidemiological Cardiology Research Center, Wake Forest School of Medicine, Winston Salem, NC.
Alfred E BuxtonDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center Harvard Medical School, Boston, MA.
Tor Biering-SørensenBrigham and Women's Hospital, Harvard Medical School, Boston, MA.
Scott D SolomonBrigham and Women's Hospital, Harvard Medical School, Boston, MA.
Wendy S PostDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Thomas P CappolaPenn Cardiovascular Institute and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
David S SiscovickThe New York Academy of Medicine, New York, NY.
Dan E ArkingMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD tereshch@ohsu.edu arking@jhmi.edu.
University of Washington · USBeth Israel Deaconess Medical Center · USHarvard University · USJohns Hopkins Medicine · USJohns Hopkins University · USUniversity of Pennsylvania · USNew York Academy of Medicine · USOregon Health & Science University · USWake Forest University · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
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
Genome-wide case-only study of antihypertensive drug-gene interactionsR01HL085251 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2010
$7.2M
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
Genomics of Cardiac Electrical Activity and ArrhythmiaR01HL116747 · NHLBI · UNIVERSITY OF WASHINGTON · PI ARKING, DAN E, SOTOODEHNIA, NONA · 2013 to 2016
$2.8M
NCATS NIH HHS UL1 TR000124NCRR NIH HHS UL1 RR025005NHGRI NIH HHS U01 HG004402NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201000021CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS HHSN268201700021CNHLBI 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 HL085251NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL103612NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL111089NHLBI NIH HHS R01 HL116747NHLBI NIH HHS R01 HL118277NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NIA NIH HHS R01 AG023629NIDDK NIH HHS P30 DK063491
6 · The paper itself

Abstract

backgroundECG global electrical heterogeneity (GEH) is associated with sudden cardiac death. We hypothesized that a genome-wide association study would identify genetic loci related to GEH. METHODS AND

resultsWe tested genotyped and imputed variants in black (N=3057) and white (N=10 769) participants in the ARIC (Atherosclerosis Risk in Communities) study and CHS (Cardiovascular Health Study). GEH (QRS-T angle, sum absolute QRST integral, spatial ventricular gradient magnitude, elevation, azimuth) was measured on 12-lead ECGs. Linear regression models were constructed with each GEH variable as an outcome, adjusted for age, sex, height, body mass index, study site, and principal components to account for ancestry. GWAS identified 10 loci that showed genome-wide significant association with GEH in whites or joint ancestry. The strongest signal (rs7301677, near

conclusionsWe identified 10 genetic loci associated with ECG GEH. Replication of GEH GWAS findings in independent cohorts is warranted. Further studies of GEH-loci may uncover mechanisms of arrhythmogenic remodeling in response to cardiovascular risk factors.

Indexed as

AtherosclerosisDeath, Sudden, CardiacElectrocardiographyFemaleFollow-Up StudiesGenetic LociGenome-Wide Association StudyHumansIncidenceMaleMiddle AgedPhenotypeProspective StudiesRisk AssessmentRisk FactorsSurvival RateECGelectrocardiographygenome wide association studyglobal electrical heterogeneityspatial ventricular gradientsum absolute QRST integral

Identifiers

PMID29622589
PMCPMC6015433
OpenAlexW2796205392

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.