SynthesisThe pharmacogenomics journal2020
Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry.
Abstract readMeta-Analysis
In one paragraph
Synthesis in The pharmacogenomics journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids.Translational psychiatry · 2025Pooled it
- Antihypertensives associated adverse events: a review of mechanisms and pharmacogenomic biomarkers available evidence in multi-ethnic populations.Frontiers in pharmacology · 2023Review
- Genome Wide Association Studies of Variant-by-Thiazide Interaction on Lipids Identifies a Novel Low-Density Lipoprotein Cholesterol Locus.Circulation research · 2022Article
- Continental-scale genomic analysis suggests shared post-admixture adaptation in the Americas.Human molecular genetics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
50 authors.
Lisa de las FuentesCardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, USA. lfuentes@wustl.edu.ORCID http://orcid.org/0000-0002-4689-325X
Y J SungDivision of Biostatistics, Washington University, St. Louis, MO, USA.
C M SitlaniCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
C L AveryGillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
T M BartzCardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA.
C de KeyserDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
D S EvansResearch Institute, California Pacific Medical Center, San Francisco, CA, USA.
X LiInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.ORCID http://orcid.org/0000-0002-5037-3572
S K MusaniJackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
R RuiterDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
A V SmithIcelandic Heart Association, Kopavogur, Iceland.ORCID http://orcid.org/0000-0003-1942-5845
F SunDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
S TrompetDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
H XuDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
D K ArnettDean's Office, University of Kentucky College of Public Health, Lexington, KY, USA.
J C BisCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
U BroeckelSection of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI, USA.
E L BuschChanning Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Y-D I ChenInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
A CorreaJackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.ORCID http://orcid.org/0000-0002-9501-600X
S R CummingsResearch Institute, California Pacific Medical Center, San Francisco, CA, USA.
J S FloydCardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA.
I FordRobertson Center for biostatistics, University of Glasgow, Glasgow, UK.
X GuoInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
T B HarrisLaboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA.
M A IkramDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
L LangeDepartment of Genetics, University of Colorado, Denver, Denver, CO, USA.
L J LaunerLaboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA.
A P ReinerPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
K SchwanderDivision of Biostatistics, Washington University, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-0193-4134
N L SmithCardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA.
N SotoodehniaCardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA.
J D StewartGillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
D J StottInstitute of cardiovascular and medical sciences, Faculty of Medicine, University of Glasgow, Glasgow, United Kingdom.
T StürmerGillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
K D TaylorInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
A UitterlindenDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0002-7276-3387
R S VasanThe Framingham Heart Study, Framingham, MA, USA.ORCID http://orcid.org/0000-0001-7357-5970
K L WigginsCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2749-1279
L A CupplesDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0273-7965
V GudnasonIcelandic Heart Association, Kopavogur, Iceland.ORCID http://orcid.org/0000-0001-5696-0084
S R HeckbertCardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA.
J W JukemaDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-3246-8359
Y LiuDivision of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest University, Winston-, Salem, NC, USA.
B M PsatyCardiovascular Health Research Unit, Departments of Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA, USA.
D C RaoDivision of Biostatistics, Washington University, St. Louis, MO, USA.
J I RotterInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
B StrickerDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
J G WilsonBiophysics and Physiology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
E A WhitselGillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Funding
Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8MInstitute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1MQAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7MWashington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Brian N Finck · 1999 to 2026
$30.2MClinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2MGenome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2MHYPERGEN: GENETICS OF LEFT VENTRICULAR HYPERTROPHYR01HL055673 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 1996 to 2016
$18.1MUCLA 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
$9.5MCHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5MRare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9MIntramural NIH HHS Z01 EY000401NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR003098NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1 RR033176NHGRI NIH HHS U01 HG004402NHLBI NIH HHS HHSN268200782096CNHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS K23 HL080025NHLBI NIH HHS K25 HL121091NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085084NHLBI NIH HHS N01 HC085085NHLBI 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 HL055673NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL068986NHLBI NIH HHS R01 HL073410NHLBI NIH HHS R01 HL080295NHLBI 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 HL120393NHLBI NIH HHS U01 HL054471NHLBI NIH HHS U01 HL054473NHLBI NIH HHS U01 HL120393NHLBI NIH HHS U10 HL054509NIA NIH HHS HHSN271201100004CNIA NIH HHS N01 AG012100NIA NIH HHS N01 AG062101NIA NIH HHS N01 AG062103NIA NIH HHS N01 AG062106NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027058NIA NIH HHS R01 AG032098NIDDK NIH HHS P30 DK056341WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
Abstract
Hypertension (HTN) is a significant risk factor for cardiovascular morbidity and mortality. Metabolic abnormalities, including adverse cholesterol and triglycerides (TG) profiles, are frequent comorbid findings with HTN and contribute to cardiovascular disease. Diuretics, which are used to treat HTN and heart failure, have been associated with worsening of fasting lipid concentrations. Genome-wide meta-analyses with 39,710 European-ancestry (EA) individuals and 9925 African-ancestry (AA) individuals were performed to identify genetic variants that modify the effect of loop or thiazide diuretic use on blood lipid concentrations. Both longitudinal and cross sectional data were used to compute cohort-specific interaction results, which were then combined through meta-analysis in each ancestry. These ancestry-specific results were further combined through trans-ancestry meta-analysis. Analysis of EA data identified two genome-wide significant (p < 5 × 10
Indexed as
Black or African AmericanDiureticsGenetic VariationGenome-Wide Association StudyHumansHypertensionLipidsWhite PeopleDiureticsLipids
Identifiers
What OpenQuestion holds
Textmetadata
LicenceTDM
Read underepoch 390
Registered trials
None linked
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.