Evidence map›Paper›PMID 23463857›Full record

Trial reportCirculation2013

Genome- and phenome-wide analyses of cardiac conduction identifies markers of arrhythmia risk.

Marylyn D Ritchie, Joshua C Denny, Rebecca L Zuvich, Dana C Crawford, Jonathan S Schildcrout, Lisa Bastarache, Andrea H Ramirez, Jonathan D Mosley, Jill M Pulley, Melissa A Basford and 18 more

Registry-linked trialOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Circulation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05277116 (The Electronic Medical Records and GEnomics), which is not on this map. Cited by 123 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 2 pooled it
12.6field-weighted citation impact, top 1% 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.

NCT05277116 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

The Electronic Medical Records and GEnomics (eMERGE) Network Genomic Risk Assessment

TypeinterventionalSponsorVanderbilt University Medical CenterRan2022 to 2030Enrolled26,877ConditionsGenetic DiseaseArmsGenome Informed Risk Assessment (GIRA) report
3 · Its place in the literature

Who cites it

123 citing papers in PubMed, 2 syntheses or guidelines pooled it, 182 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Genetics of Sudden Cardiac Death.Diseases (Basel, Switzerland) · 2025
    Review
  8. Article
  9. NaInternational journal of molecular sciences · 2024
    Article
  10. Article
  11. Article
  12. Heterologous expression of the human wild-type and variant NaNeurogastroenterology and motility · 2024
    Article
  13. Article
  14. Review
  15. Molecular and Functional Relevance of NaInternational journal of molecular sciences · 2023
    Article
  16. Article
  17. Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  18. Article
  19. Article
  20. Article

63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 7 institutions in 1 country.

Marylyn D RitchieDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA.
Joshua C Denny
Rebecca L Zuvich
Dana C Crawford
Jonathan S Schildcrout
Lisa Bastarache
Andrea H Ramirez
Jonathan D Mosley
Jill M Pulley
Melissa A Basford
Yuki Bradford
Luke V Rasmussen
Jyotishman Pathak
Christopher G Chute
Iftikhar J Kullo
Catherine A McCarty
Rex L Chisholm
Abel N Kho
Christopher S Carlson
Eric B Larson
Gail P Jarvik
Nona Sotoodehnia
Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) QRS Group
Teri A Manolio
Rongling Li
Daniel R Masys
Jonathan L Haines
Dan M Roden
Fred Hutch Cancer Center · USKaiser Permanente Washington Health Research Institute · USUniversity of Washington · USEssentia Health · USMayo Clinic · USPennsylvania State University · USNorthwestern University · US

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
CLINICAL PHARMACOLOGY TRAINING PROGRAMT32GM007569 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Bjorn C Knollmann · 1985 to 2026
$12.4M
Multidisciplinary Clinical and Translational Science (MCTS) Program (UL1)UL1TR000150 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LLOYD-JONES, DONALD M · 2012 to 2013
$10.1M
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
Vanderbilt Genome-Electronic Records ProjectU01HG004603 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2007 to 2011
$7.3M
From GWAS to PheWAS: Scanning the EMR Phenome for Gene-disease AssociationsR01LM010685 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BASTARACHE, LISA · 2011 to 2022
$6.3M
Development and Use of Network Infrastructure for High-Throughput GWA StudiesU01HG004610 · NHGRI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI LARSON, ERIC B · 2007 to 2010
$4.2M
A Personalized Genomic Medicine Pilot Program Using the NJgene eMERGE ExperienceU01HG006388 · NHGRI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CHISHOLM, REX L, SMITH, MAUREEN E · 2011 to 2014
$4.1M
Genetic Discovery and Application in a Clinical Setting Continuing a PartnershipU01HG006375 · NHGRI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI JARVIK, GAIL PAIRITZ, LARSON, ERIC B · 2011 to 2014
$4.1M
Vanderbilt Genome Electronic Records ProjectU01HG006378 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2011 to 2014
$4.0M
EMR Phenotypes and Community Engaged Genomic AssociationsU01HG004599 · NHGRI · MAYO CLINIC ROCHESTER · PI CHUTE, CHRISTOPHER G · 2007 to 2010
$3.7M
American Heart Association-American Stroke Association 16FTF30130005NCATS NIH HHS 2 UL1 TR000445NCATS NIH HHS UL1 TR000150NCATS NIH HHS UL1 TR000445NCRR NIH HHS UL1 RR024975NHGRI NIH HHS U01 HG004599NHGRI NIH HHS U01 HG004603NHGRI NIH HHS U01 HG004608NHGRI NIH HHS U01-HG-004608NHGRI NIH HHS U01 HG004609NHGRI NIH HHS U01-HG-004609NHGRI NIH HHS U01 HG004610NHGRI NIH HHS U01-HG-004610NHGRI NIH HHS U01 HG006375NHGRI NIH HHS U01 HG006378NHGRI NIH HHS U01 HG006388NHGRI NIH HHS U01-HG-04599NHGRI NIH HHS U01-HG-04603NHLBI NIH HHS R01 HL088456NHLBI NIH HHS R01-HL088456NHLBI NIH HHS R01 HL105756NIGMS NIH HHS T32 GM007569NLM NIH HHS R01 LM010685NLM NIH HHS R01-LM-010685
6 · The paper itself

Abstract

backgroundECG QRS duration, a measure of cardiac intraventricular conduction, varies ≈2-fold in individuals without cardiac disease. Slow conduction may promote re-entrant arrhythmias. METHODS AND

resultsWe performed a genome-wide association study to identify genomic markers of QRS duration in 5272 individuals without cardiac disease selected from electronic medical record algorithms at 5 sites in the Electronic Medical Records and Genomics (eMERGE) network. The most significant loci were evaluated within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium QRS genome-wide association study meta-analysis. Twenty-three single-nucleotide polymorphisms in 5 loci, previously described by CHARGE, were replicated in the eMERGE samples; 18 single-nucleotide polymorphisms were in the chromosome 3 SCN5A and SCN10A loci, where the most significant single-nucleotide polymorphisms were rs1805126 in SCN5A with P=1.2×10(-8) (eMERGE) and P=2.5×10(-20) (CHARGE) and rs6795970 in SCN10A with P=6×10(-6) (eMERGE) and P=5×10(-27) (CHARGE). The other loci were in NFIA, near CDKN1A, and near C6orf204. We then performed phenome-wide association studies on variants in these 5 loci in 13859 European Americans to search for diagnoses associated with these markers. Phenome-wide association study identified atrial fibrillation and cardiac arrhythmias as the most common associated diagnoses with SCN10A and SCN5A variants. SCN10A variants were also associated with subsequent development of atrial fibrillation and arrhythmia in the original 5272 "heart-healthy" study population.

conclusionsWe conclude that DNA biobanks coupled to electronic medical records not only provide a platform for genome-wide association study but also may allow broad interrogation of the longitudinal incidence of disease associated with genetic variants. The phenome-wide association study approach implicated sodium channel variants modulating QRS duration in subjects without cardiac disease as predictors of subsequent arrhythmias.

Indexed as

AdultAgedAged, 80 and overArrhythmias, CardiacFemaleGenetic MarkersGenome-Wide Association StudyHeart Conduction SystemHeart RateHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideRisk FactorsGenetic Markers

Identifiers

PMID23463857
PMCPMC3713791
OpenAlexW2029119894

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Registered trials

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.