Sex-specific effect of serum urate levels on coronary heart disease and myocardial infarction prevention: A Mendelian randomization study
Tài liệu tham khảo
Case, 2020, Coronary heart disease: have we reached a plateau in primary prevention?, J Am Heart Assoc, 9, 10.1161/JAHA.120.016034
Gupta, 2019, Cardiovascular disease in gout and the protective effect of treatments including urate-lowering therapy, Drugs, 79, 531, 10.1007/s40265-019-01081-5
Gill, 2021, Urate, blood pressure, and cardiovascular disease: evidence from mendelian randomization and meta-analysis of clinical trials, Hypertension, 77, 383, 10.1161/HYPERTENSIONAHA.120.16547
Masi, 2019, The difficult relationship between uric acid and cardiovascular disease, Eur Heart J, 40, 3055, 10.1093/eurheartj/ehz166
Braga, 2016, Hyperuricemia as risk factor for coronary heart disease incidence and mortality in the general population: a systematic review and meta-analysis, Clin Chem Lab Med, 54, 7, 10.1515/cclm-2015-0523
Singh, 2016, Allopurinol reduces the risk of myocardial infarction (MI) in the elderly: a study of Medicare claims, Arthritis Res Ther, 18, 209, 10.1186/s13075-016-1111-1
Culleton, 1999, Serum uric acid and risk for cardiovascular disease and death: the Framingham Heart Study, Ann Intern Med, 131, 7, 10.7326/0003-4819-131-1-199907060-00003
Zalawadiya, 2015, Uric acid and cardiovascular disease risk reclassification: findings from NHANES III, Eur J Prev Cardiol, 22, 513, 10.1177/2047487313519346
Tanaka, 2020, Febuxostat does not delay progression of carotid atherosclerosis in patients with asymptomatic hyperuricemia: a randomized, controlled trial, PLoS Med, 17, 10.1371/journal.pmed.1003095
Virdis, 2020, Identification of the uric acid thresholds predicting an increased total and cardiovascular mortality over 20 years, Hypertension, 75, 302, 10.1161/HYPERTENSIONAHA.119.13643
Casiglia, 2020, Serum uric acid and fatal myocardial infarction: detection of prognostic cut-off values: the URRAH (Uric Acid Right for Heart Health) study, J Hypertens, 38, 412, 10.1097/HJH.0000000000002287
Muiesan, 2021, Serum uric acid, predicts heart failure in a large Italian cohort: search for a cut-off value the URic acid Right for heArt Health study, J Hypertens, 39, 62, 10.1097/HJH.0000000000002589
Emdin, 2017, Mendelian randomization, JAMA, 318, 1925, 10.1001/jama.2017.17219
Holmes, 2017, Mendelian randomization in cardiometabolic disease: challenges in evaluating causality, Nat Rev Cardiol, 14, 577, 10.1038/nrcardio.2017.78
Burgess, 2019, Guidelines for performing Mendelian randomization investigations, Wellcome Open Res, 4, 186, 10.12688/wellcomeopenres.15555.1
Sekula, 2016, Mendelian randomization as an approach to assess causality using observational data, J Am Soc Nephrol, 27, 3253, 10.1681/ASN.2016010098
Keenan, 2016, Causal assessment of serum urate levels in cardiometabolic diseases through a Mendelian randomization study, J Am Coll Cardiol, 67, 407, 10.1016/j.jacc.2015.10.086
Chen, 2021, Genetically predicted serum uric acid levels and the risk of coronary artery disease in patients with diabetes: a Mendelian randomization study, Nutr Metabol Cardiovasc Dis, 31, 1832, 10.1016/j.numecd.2021.03.007
Tin, 2019, Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels, Nat Genet, 51, 1459, 10.1038/s41588-019-0504-x
Major, 2018, An update on the genetics of hyperuricaemia and gout, Nat Rev Rheumatol, 14, 341, 10.1038/s41584-018-0004-x
Clarke, 2012, The 1000 Genomes Project: data management and community access, Nat Methods, 9, 459, 10.1038/nmeth.1974
Nikpay, 2015, A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease, Nat Genet, 47, 1121, 10.1038/ng.3396
Sudlow, 2015, UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age, PLoS Med, 12, 10.1371/journal.pmed.1001779
Ishigaki, 2020, Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases, Nat Genet, 52, 669, 10.1038/s41588-020-0640-3
Pulit, 2019, Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry, Hum Mol Genet, 28, 166, 10.1093/hmg/ddy327
Evangelou, 2018, Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits, Nat Genet, 50, 1412, 10.1038/s41588-018-0205-x
Wheeler, 2017, Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: a transethnic genome-wide meta-analysis, PLoS Med, 14, 10.1371/journal.pmed.1002383
Willer, 2013, Discovery and refinement of loci associated with lipid levels, Nat Genet, 45, 1274, 10.1038/ng.2797
Liu, 2019, Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use, Nat Genet, 51, 237, 10.1038/s41588-018-0307-5
Wuttke, 2019, A catalog of genetic loci associated with kidney function from analyses of a million individuals, Nat Genet, 51, 957, 10.1038/s41588-019-0407-x
Burgess, 2013, Mendelian randomization analysis with multiple genetic variants using summarized data, Genet Epidemiol, 37, 658, 10.1002/gepi.21758
Bowden, 2016, Consistent estimation in mendelian randomization with some invalid instruments using a weighted median estimator, Genet Epidemiol, 40, 304, 10.1002/gepi.21965
Bowden, 2015, Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression, Int J Epidemiol, 44, 512, 10.1093/ije/dyv080
Verbanck, 2018, Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases, Nat Genet, 50, 693, 10.1038/s41588-018-0099-7
Burgess, 2015, Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects, Am J Epidemiol, 181, 251, 10.1093/aje/kwu283
Brion, 2013, Calculating statistical power in Mendelian randomization studies, Int J Epidemiol, 42, 1497, 10.1093/ije/dyt179
Hemani, 2018, The MR-Base platform supports systematic causal inference across the human phenome, Elife, 7, 10.7554/eLife.34408
Li, 2019, Genetically determined serum urate levels and cardiovascular and other diseases in UK Biobank cohort: a phenome-wide mendelian randomization study, PLoS Med, 16, 10.1371/journal.pmed.1002937
Yang, 2014, A genome-wide association study identifies common variants influencing serum uric acid concentrations in a Chinese population, BMC Med Genom, 7, 10, 10.1186/1755-8794-7-10
Reginato, 2012, The genetics of hyperuricaemia and gout, Nat Rev Rheumatol, 8, 610, 10.1038/nrrheum.2012.144
Battelli, 2014, Pathophysiology of circulating xanthine oxidoreductase: new emerging roles for a multi-tasking enzyme, Biochim Biophys Acta, 1842, 1502, 10.1016/j.bbadis.2014.05.022
Battelli, 2014, Xanthine oxidoreductase in atherosclerosis pathogenesis: not only oxidative stress, Atherosclerosis, 237, 562, 10.1016/j.atherosclerosis.2014.10.006
Inaba, 2013, What can asymptomatic hyperuricaemia and systemic inflammation in the absence of gout tell us?, Rheumatology, 52, 963, 10.1093/rheumatology/ket001
Papežíková, 2013, Uric acid modulates vascular endothelial function through the down regulation of nitric oxide production, Free Radic Res, 47, 82, 10.3109/10715762.2012.747677
Elsurer, 2014, Serum uric acid and arterial stiffness in hypertensive chronic kidney disease patients: sex-specific variations, Blood Pres Monit, 19, 271, 10.1097/MBP.0000000000000056
Kolz, 2009, Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations, PLoS Genet, 5, 10.1371/journal.pgen.1000504
Yu, 2015, Hyperuricemia is independently associated with left ventricular hypertrophy in post-menopausal women but not in pre-menopausal women in rural Northeast China, Gynecol Endocrinol, 31, 736, 10.3109/09513590.2015.1056730
Maloberti, 2021, Relationships between diuretic-related hyperuricemia and cardiovascular events: data from the URic acid Right for heArt Health study, J Hypertens, 39, 333, 10.1097/HJH.0000000000002600