Genetically determined serum urate levels and cardiovascular and other diseases in UK Biobank cohort: A phenome-wide mendelian randomization study.


Journal

PLoS medicine
ISSN: 1549-1676
Titre abrégé: PLoS Med
Pays: United States
ID NLM: 101231360

Informations de publication

Date de publication:
10 2019
Historique:
received: 21 05 2019
accepted: 17 09 2019
entrez: 19 10 2019
pubmed: 19 10 2019
medline: 6 2 2020
Statut: epublish

Résumé

The role of urate in cardiovascular diseases (CVDs) has been extensively investigated in observational studies; however, the extent of any causal effect remains unclear, making it difficult to evaluate its clinical relevance. A phenome-wide association study (PheWAS) together with a Bayesian analysis of tree-structured phenotypic model (TreeWAS) was performed to examine disease outcomes related to genetically determined serum urate levels in 339,256 unrelated White British individuals (54% female) in the UK Biobank who were aged 40-69 years (mean age, 56.87; SD, 7.99) when recruited from 2006 to 2010. Mendelian randomization (MR) analyses were performed to replicate significant findings using various genome-wide association study (GWAS) consortia data. Sensitivity analyses were conducted to examine possible pleiotropic effects on metabolic traits of the genetic variants used as instruments for urate. PheWAS analysis, examining the association with 1,431 disease outcomes, identified 13 distinct phecodes representing 4 disease groups (inflammatory polyarthropathies, hypertensive disease, circulatory disease, and metabolic disorders) and 9 disease outcomes (gout, gouty arthropathy, pyogenic arthritis, essential hypertension, coronary atherosclerosis, ischemic heart disease, chronic ischemic heart disease, myocardial infarction, and hypercholesterolemia) that were associated with genetically determined serum urate levels after multiple testing correction (p < 3.35 × 10-4). TreeWAS analysis, examining 10,750 ICD-10 diagnostic terms, identified more sub-phenotypes of cardiovascular and cerebrovascular diseases (e.g., angina pectoris, heart failure, cerebral infarction). MR analysis successfully replicated the association with gout, hypertension, heart diseases, and blood lipid levels but indicated the existence of genetic pleiotropy. Sensitivity analyses support an inference that pleiotropic effects of genetic variants on urate and metabolic traits contribute to the observational associations with CVDs. The main limitations of this study relate to possible bias from pleiotropic effects of the considered genetic variants and possible misclassification of cases for mild disease that did not require hospitalization. In this study, high serum urate levels were found to be associated with increased risk of different types of cardiac events. The finding of genetic pleiotropy indicates the existence of common upstream pathological elements influencing both urate and metabolic traits, and this may suggest new opportunities and challenges for developing drugs targeting a common mediator that would be beneficial for both the treatment of gout and the prevention of cardiovascular comorbidities.

Sections du résumé

BACKGROUND
The role of urate in cardiovascular diseases (CVDs) has been extensively investigated in observational studies; however, the extent of any causal effect remains unclear, making it difficult to evaluate its clinical relevance.
METHODS AND FINDINGS
A phenome-wide association study (PheWAS) together with a Bayesian analysis of tree-structured phenotypic model (TreeWAS) was performed to examine disease outcomes related to genetically determined serum urate levels in 339,256 unrelated White British individuals (54% female) in the UK Biobank who were aged 40-69 years (mean age, 56.87; SD, 7.99) when recruited from 2006 to 2010. Mendelian randomization (MR) analyses were performed to replicate significant findings using various genome-wide association study (GWAS) consortia data. Sensitivity analyses were conducted to examine possible pleiotropic effects on metabolic traits of the genetic variants used as instruments for urate. PheWAS analysis, examining the association with 1,431 disease outcomes, identified 13 distinct phecodes representing 4 disease groups (inflammatory polyarthropathies, hypertensive disease, circulatory disease, and metabolic disorders) and 9 disease outcomes (gout, gouty arthropathy, pyogenic arthritis, essential hypertension, coronary atherosclerosis, ischemic heart disease, chronic ischemic heart disease, myocardial infarction, and hypercholesterolemia) that were associated with genetically determined serum urate levels after multiple testing correction (p < 3.35 × 10-4). TreeWAS analysis, examining 10,750 ICD-10 diagnostic terms, identified more sub-phenotypes of cardiovascular and cerebrovascular diseases (e.g., angina pectoris, heart failure, cerebral infarction). MR analysis successfully replicated the association with gout, hypertension, heart diseases, and blood lipid levels but indicated the existence of genetic pleiotropy. Sensitivity analyses support an inference that pleiotropic effects of genetic variants on urate and metabolic traits contribute to the observational associations with CVDs. The main limitations of this study relate to possible bias from pleiotropic effects of the considered genetic variants and possible misclassification of cases for mild disease that did not require hospitalization.
CONCLUSION
In this study, high serum urate levels were found to be associated with increased risk of different types of cardiac events. The finding of genetic pleiotropy indicates the existence of common upstream pathological elements influencing both urate and metabolic traits, and this may suggest new opportunities and challenges for developing drugs targeting a common mediator that would be beneficial for both the treatment of gout and the prevention of cardiovascular comorbidities.

Identifiants

pubmed: 31626644
doi: 10.1371/journal.pmed.1002937
pii: PMEDICINE-D-19-01817
pmc: PMC6799886
doi:

Substances chimiques

Uric Acid 268B43MJ25

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1002937

Subventions

Organisme : Cancer Research UK
ID : 22804
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C31250/A22804
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : R01 HL133786
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Ann Rheum Dis. 1992 Mar;51(3):375-7
pubmed: 1575585
PLoS Med. 2019 Jan 15;16(1):e1002725
pubmed: 30645594
Nat Biotechnol. 2013 Dec;31(12):1102-10
pubmed: 24270849
ISRN Rheumatol. 2014 Feb 16;2014:852954
pubmed: 24693449
Hum Genet. 2000 Mar;106(3):355-9
pubmed: 10798367
J Hypertens. 2015 Sep;33(9):1729-41; discussion 1741
pubmed: 26136207
N Engl J Med. 2008 Oct 23;359(17):1811-21
pubmed: 18946066
Nat Genet. 2008 Apr;40(4):437-42
pubmed: 18327257
Curr Rheumatol Rep. 2010 Apr;12(2):108-17
pubmed: 20425019
Ann Rheum Dis. 2017 Jun;76(6):948-959
pubmed: 27979873
BMJ. 2013 Jul 18;347:f4262
pubmed: 23869090
Curr Opin Rheumatol. 2013 Mar;25(2):210-6
pubmed: 23370374
PLoS Genet. 2009 Jun;5(6):e1000504
pubmed: 19503597
Lancet Diabetes Endocrinol. 2016 Apr;4(4):327-36
pubmed: 26781229
JAMA. 2008 Aug 27;300(8):924-32
pubmed: 18728266
Ann Rheum Dis. 2018 Jul;77(7):1039-1047
pubmed: 29437585
Curr Opin Lipidol. 2015 Apr;26(2):88-95
pubmed: 25692341
Biomed Res Int. 2015;2015:127596
pubmed: 25629033
J Am Soc Nephrol. 2015 Nov;26(11):2831-8
pubmed: 25788527
Blood. 2013 May 16;121(20):4205-20
pubmed: 23509158
Nat Genet. 2017 Sep;49(9):1311-1318
pubmed: 28759005
Lancet. 2008 Dec 6;372(9654):1953-61
pubmed: 18834626
PLoS One. 2014 Dec 01;9(12):e114259
pubmed: 25437867
PLoS One. 2010 Jul 22;5(7):e11690
pubmed: 20661421
BMJ. 2017 Jun 7;357:j2376
pubmed: 28592419
Nat Genet. 2013 Feb;45(2):145-54
pubmed: 23263486

Auteurs

Xue Li (X)

Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Xiangrui Meng (X)

Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Yazhou He (Y)

Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Athina Spiliopoulou (A)

Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Maria Timofeeva (M)

Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Medical Research Council, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.

Wei-Qi Wei (WQ)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.

Aliya Gifford (A)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.

Tian Yang (T)

Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Tim Varley (T)

Public Health and Intelligence, NHS National Services Scotland, Edinburgh, United Kingdom.

Ioanna Tzoulaki (I)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.

Peter Joshi (P)

Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Joshua C Denny (JC)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.

Paul Mckeigue (P)

Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Harry Campbell (H)

Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Evropi Theodoratou (E)

Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH