SynthesisThe pharmacogenomics journal2018
Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group.
Open access · greenAbstract readMeta-Analysis
In one paragraph
Synthesis in The pharmacogenomics journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 21% of its field
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.
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.
Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Genome-Wide Interaction Analyses of Serum Calcium on Ventricular Repolarization Time in 125 393 Participants.Journal of the American Heart Association · 2024Pooled it
- A large genome-wide association study of QT interval length utilizing electronic health records.Genetics · 2022Pooled it
- Pharmacogenomic markers associated with drug-induced QT prolongation: a systematic review.PharmacogenomicsPooled it
- Risk of Severe Hypoglycemia Associated With Concomitant Use of Sulfonylureas and Amiodarone.Diabetes, obesity & metabolism · 2026Article
- The evolving landscape of pharmacogenomics: Current achievements and future directions.Pharmacological reviews · 2026Review
- Prioritization of causal genes from genome-wide association studies by Bayesian data integration across loci.PLoS computational biology · 2025Article
- The genetics of drug-induced QT prolongation: evaluating the evidence for pharmacodynamic variants.Pharmacogenomics · 2022Review
- Observational
- Optimising Seniors' Metabolism of Medications and Avoiding Adverse Drug Events Using Data on How Metabolism by Their P450 Enzymes Varies with Ancestry and Drug-Drug and Drug-Drug-Gene Interactions.Journal of personalized medicine · 2020Article
- Objectives, design and main findings until 2020 from the Rotterdam Study.European journal of epidemiology · 2020Article
- Genome-wide association study identifies novel risk variants from RPS6KA1, CADPS, VARS, and DHX58 for fasting plasma glucose in Arab population.Scientific reports · 2020Article
- Genomic approaches for the elucidation of genes and gene networks underlying cardiovascular traits.Biophysical reviews · 2018Review
- The Rotterdam Study: 2018 update on objectives, design and main results.European journal of epidemiology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
59 authors at 18 institutions in 4 countries.
J S FloydDeparments of Epidemiology and Medicine, University of Washington, Seattle, WA, USA.
C M SitlaniDepartment of Medicine, University of Washington, Seattle, WA, USA.
C L AveryDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
R NoordamDepartment of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.
X LiInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.ORCID 0000-0002-5037-3572
A V SmithIcelandic Heart Association, Kopavogur, Iceland.
S M GogartenDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
J LiDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
L BroerDepartment of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.
D S EvansCalifornia Pacific Medical Center Research Institute, San Francisco, CA, USA.
S TrompetDepartment of Cardiology and Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
J A BrodyDepartment of Medicine, University of Washington, Seattle, WA, USA.
J D StewartDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
J D EicherPopulation Sciences Branch, National Heart Lung and Blood Institute, National Institutes of Health, Framingham, MA, USA.
A A SeyerleDepartment of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.
J RoachResearch Computing Center, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
L A LangeDepartment of Genetics, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
H J LinInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
J A KorsDepartment of Medical Informatics, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.
T B HarrisLaboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA.
R Li-GaoDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
N SattarBHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK.
S R CummingsCalifornia Pacific Medical Center Research Institute, San Francisco, CA, USA.
K L WigginsDepartment of Medicine, University of Washington, Seattle, WA, USA.
M D NapierDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
T StürmerDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
J C BisDepartment of Medicine, University of Washington, Seattle, WA, USA.
K F KerrDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
A G UitterlindenDepartment of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.
K D TaylorInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
D J StottInstitute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Scotland, UK.
R de MutsertDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
L J LaunerLaboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA.
E L BuschChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
R Méndez-GiráldezDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
N SotoodehniaDeparments of Epidemiology and Medicine, University of Washington, Seattle, WA, USA.
E Z SolimanEpidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC, USA.
Y LiDepartment of Biostatistics, Computer Science, and Genetics, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
Q DuanResearch Computing Center, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
F R RosendaalDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
P E SlagboomDepartment of Medical Statistics and Bioinformatics, Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
K C WilhelmsenResearch Computing Center, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
A P ReinerPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Y-Di ChenInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
S R HeckbertDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
R C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
K M RiceDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
J W JukemaDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
A D JohnsonPopulation Sciences Branch, National Heart Lung and Blood Institute, National Institutes of Health, Framingham, MA, USA.
Y LiuDepartment of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA.
D O Mook-KanamoriDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
V GudnasonIcelandic Heart Association, Kopavogur, Iceland.
J G WilsonDepartment of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA.
J I RotterInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
C C LaurieDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
B M PsatyDepartments of Epidemiology, Health Services, and Medicine, University of Washington, Seattle, WA, USA.
E A WhitselDepartments of Epidemiology and Medicine, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
L A CupplesThe Framingham Heart Study, Framingham, MA, USA.
B H StrickerDepartment of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.
University of Washington · USUniversity of North Carolina at Chapel Hill · USLeiden University Medical Center · NLThe Lundquist Institute · USErasmus MC · NLCalifornia Pacific Medical Center · USNational Institute on Aging · USNational Institutes of Health · USUniversity of Iceland · ISWake Forest University · USAlbert Einstein College of Medicine · USBoston University · USBrigham and Women's Hospital · USDutch Health Care Inspectorate · NLGroup Health Cooperative · USJackson Memorial Hospital · USUniversity of Glasgow · GBUniversity of Minnesota · US
Funding
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1MInstitute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8MUCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0MCTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0MTransgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4MTracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI COMPRETTA, CAROLINE E. · 2016 to 2025
$38.2MCardiovascular Genomics and Bioinformatics projectsZIAHL006170 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI JOHNSON, ANDREW · 2013 to 2025
$25.3MGenome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2MTraining Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3MUCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5MEpidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8MExceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5MNCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001881NCI NIH HHS T32 CA009001NCRR NIH HHS UL1 RR024156NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1 RR033176NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01 HG005152NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201300005CNHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS K08 HL116640NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI 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 N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL085251NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL103612NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL111089NHLBI NIH HHS R01 HL116747NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL080295NIA NIH HHS HHSN271201100004CNIA NIH HHS N01 AG062101NIA NIH HHS N01 AG062103NIA NIH HHS N01 AG062106NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG032098NIA NIH HHS U24 AG051129NIDDK NIH HHS P30 DK063491NIEHS NIH HHS R01 ES017794NIGMS NIH HHS U54 GM115428WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
Abstract
Sulfonylureas, a commonly used class of medication used to treat type 2 diabetes, have been associated with an increased risk of cardiovascular disease. Their effects on QT interval duration and related electrocardiographic phenotypes are potential mechanisms for this adverse effect. In 11 ethnically diverse cohorts that included 71 857 European, African-American and Hispanic/Latino ancestry individuals with repeated measures of medication use and electrocardiogram (ECG) measurements, we conducted a pharmacogenomic genome-wide association study of sulfonylurea use and three ECG phenotypes: QT, JT and QRS intervals. In ancestry-specific meta-analyses, eight novel pharmacogenomic loci met the threshold for genome-wide significance (P<5 × 10
Indexed as
AgedCardiovascular DiseasesCytochrome P-450 CYP2C9Diabetes Mellitus, Type 2Drug-Related Side Effects and Adverse ReactionsElectrocardiographyEthnicityFemaleGenetic VariationGenome-Wide Association StudyHumansMaleMiddle AgedPharmacogeneticsPharmacogenomic TestingSulfonylurea CompoundsCytochrome P-450 CYP2C9Sulfonylurea Compounds
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