Evidence map›Paper›PMID 30645594›Full record

ArticlePLoS medicine2019

No causal effects of serum urate levels on the risk of chronic kidney disease: A Mendelian randomization study.

Daniel M Jordan, Hyon K Choi, Marie Verbanck, Ruth Topless, Hong-Hee Won, Girish Nadkarni, Tony R Merriman, Ron Do

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 3 pooled it
12.7field-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.

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

82 citing papers in PubMed, 3 syntheses or guidelines pooled it, 135 citations in OpenAlex.

  1. Pooled it
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  16. Mendelian Randomization Studies: A Metric for Quality Evaluation.Gout, urate, and crystal deposition disease · 2025
    Article
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  18. Article
  19. Review
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22 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 3 countries.

Daniel M JordanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID 0000-0002-5318-8225
Hyon K ChoiDivision of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Marie VerbanckDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID 0000-0002-1669-572X
Ruth ToplessDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-9343-8911
Hong-Hee WonSamsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, South Korea.ORCID 0000-0001-5719-0552
Girish NadkarniCharles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID 0000-0001-6319-4314
Tony R MerrimanDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Ron DoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID 0000-0002-3144-3627
Icahn School of Medicine at Mount Sinai · USUniversity of Otago · NZHarvard University · USSamsung (South Korea) · KR

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
The Effects of Urate Lowering Therapy on Inflammation, Endothelial function, andP50AR060772 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2012 to 2021
$12.8M
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
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
TRAINING PROGRAM IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007824 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GELB, BRUCE D · 1995 to 2022
$8.6M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
NOVEL METABOLITE AND MICROBIOTA PATHWAYS FOR HYPERURICEMIA AND GOUTR01AR065944 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, HYON K · 2013 to 2025
$4.2M
Towards an integrated map of causal connections for common, complex diseasesR35GM124836 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ron Do · 2017 to 2026
$3.9M
Genome-Wide Association for Loci Influencing CHD and Other Heart, Lung and BloodR01HL087641 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2006 to 2008
$3.7M
Genetics of GoutR01AR056291 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI CHOI, HYON K · 2008 to 2011
$2.9M
Resolving Causal Influences Among Correlated Risk Biomarkers for Coronary Artery DiseaseR01HL139865 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON · 2018 to 2021
$1.7M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCRR NIH HHS UL1 RR025005NHGRI NIH HHS U01 HG004402NHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS N01 HC048047NHLBI NIH HHS N01 HC048048NHLBI NIH HHS N01 HC048049NHLBI NIH HHS N01 HC048050NHLBI NIH HHS N01 HC055015NHLBI NIH HHS N01 HC055016NHLBI NIH HHS N01 HC055018NHLBI NIH HHS N01 HC055019NHLBI NIH HHS N01 HC055020NHLBI NIH HHS N01 HC055021NHLBI NIH HHS N01 HC055022NHLBI 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 HC095095NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01 HL139865NHLBI NIH HHS T32 HL007824NHLBI NIH HHS U01 HL080295NIAMS NIH HHS P50 AR060772NIAMS NIH HHS R01 AR056291NIAMS NIH HHS R01 AR065944NIA NIH HHS R01 AG023629NIDDK NIH HHS K23 DK107908NIGMS NIH HHS R35 GM124836
6 · The paper itself

Abstract

backgroundStudies have shown strong positive associations between serum urate (SU) levels and chronic kidney disease (CKD) risk; however, whether the relation is causal remains uncertain. We evaluate whether genetic data are consistent with a causal impact of SU level on the risk of CKD and estimated glomerular filtration rate (eGFR). METHODS AND

findingsWe used Mendelian randomization (MR) methods to evaluate the presence of a causal effect. We used aggregated genome-wide association data (N = 110,347 for SU, N = 69,374 for gout, N = 133,413 for eGFR, N = 117,165 for CKD), electronic-medical-record-linked UK Biobank data (N = 335,212), and population-based cohorts (N = 13,425), all in individuals of European ancestry, for SU levels and CKD. Our MR analysis showed that SU has a causal effect on neither eGFR level nor CKD risk across all MR analyses (all P > 0.05). These null associations contrasted with our epidemiological association findings from the 4 population-based cohorts (change in eGFR level per 1-mg/dl [59.48 μmol/l] increase in SU: -1.99 ml/min/1.73 m2; 95% CI -2.86 to -1.11; P = 8.08 × 10(-6); odds ratio [OR] for CKD: 1.48; 95% CI 1.32 to 1.65; P = 1.52 × 10(-11)). In contrast, the same MR approaches showed that SU has a causal effect on the risk of gout (OR estimates ranging from 3.41 to 6.04 per 1-mg/dl increase in SU, all P < 10-3), which served as a positive control of our approach. Overall, our MR analysis had >99% power to detect a causal effect of SU level on the risk of CKD of the same magnitude as the observed epidemiological association between SU and CKD. Limitations of this study include the lifelong effect of a genetic perturbation not being the same as an acute perturbation, the inability to study non-European populations, and some sample overlap between the datasets used in the study.

conclusionsEvidence from our series of causal inference approaches using genetics does not support a causal effect of SU level on eGFR level or CKD risk. Reducing SU levels is unlikely to reduce the risk of CKD development.

Indexed as

AdultAge FactorsFemaleGenome-Wide Association StudyGlomerular Filtration RateHumansMaleMendelian Randomization AnalysisRenal Insufficiency, ChronicSex FactorsUric AcidYoung AdultUric Acid

Identifiers

PMID30645594
PMCPMC6333326
OpenAlexW2909578528

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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.