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Published in: Rheumatology International 2/2016

01-02-2016 | Original Article - Genes and Disease

Association analysis of the beta-3 adrenergic receptor Trp64Arg (rs4994) polymorphism with urate and gout

Authors: Tahzeeb Fatima, Sara Altaf, Amanda Phipps-Green, Ruth Topless, Tanya J. Flynn, Lisa K. Stamp, Nicola Dalbeth, Tony R. Merriman

Published in: Rheumatology International | Issue 2/2016

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Abstract

The Arg64 allele of variant rs4994 (Trp64Arg) in the β3-adrenergic receptor gene has been associated with increased serum urate and risk of gout. Our objective was to investigate the relationship of rs4994 with serum urate and gout in New Zealand European, Māori and Pacific subjects. A total of 1730 clinically ascertained gout cases and 2145 controls were genotyped for rs4994 by Taqman®. Māori and Pacific subjects were subdivided into Eastern Polynesian (EP) and Western Polynesian (WP) sample sets. Publicly available genotype data from the Atherosclerosis Risk in Communities Study and the Framingham Heart Study were utilized for serum urate association analysis. Multivariate logistic and linear regression adjusted for potential confounders was carried out using R version 2.15.2. No significant association of the minor Arg64 (G) allele of rs4994 with gout was found in the combined Polynesian cohorts (OR = 0.98, P = 0.88), although there was evidence, after adjustment for renal disease, for association in both the WP (OR = 0.53, P = 0.03) and the lower Polynesian ancestry EP sample sets (OR = 1.86, P = 0.05). There was no evidence for association with gout in the European sample set (OR = 1.11, P = 0.57). However, the Arg64 allele was positively associated with urate in the WP data set (β = 0.036, P = 0.004, P Corrected = 0.032). Association of the Arg64 variant with increased urate in the WP sample set was consistent with the previous literature, although the protective effect of this variant with gout in WP was inconsistent. This association provides an etiological link between metabolic syndrome components and urate homeostasis.
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Literature
1.
go back to reference Dalbeth N, Merriman T (2009) Crystal ball gazing: new therapeutic targets for hyperuricaemia and gout. Rheumatology 48:222–226CrossRefPubMed Dalbeth N, Merriman T (2009) Crystal ball gazing: new therapeutic targets for hyperuricaemia and gout. Rheumatology 48:222–226CrossRefPubMed
2.
go back to reference Kottgen A, Albrecht E, Teumer A, Vitart V, Krumsiek J, Hundertmark C et al (2013) Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat Genet 45:145–154PubMedCentralCrossRefPubMed Kottgen A, Albrecht E, Teumer A, Vitart V, Krumsiek J, Hundertmark C et al (2013) Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat Genet 45:145–154PubMedCentralCrossRefPubMed
4.
go back to reference Choi HK, Ford ES (2007) Prevalence of the metabolic syndrome in individuals with hyperuricemia. Am J Med 120:442–447CrossRefPubMed Choi HK, Ford ES (2007) Prevalence of the metabolic syndrome in individuals with hyperuricemia. Am J Med 120:442–447CrossRefPubMed
5.
go back to reference Choi HK, Ford ES, Li C, Curhan G (2007) Prevalence of the metabolic syndrome in patients with gout: the Third National Health and Nutrition Examination Survey. Arthritis Care Res 57:109–115CrossRef Choi HK, Ford ES, Li C, Curhan G (2007) Prevalence of the metabolic syndrome in patients with gout: the Third National Health and Nutrition Examination Survey. Arthritis Care Res 57:109–115CrossRef
6.
go back to reference Facchini F, Chen Y-DI, Hollenbeck CB, Reaven GM (1991) Relationship between resistance to insulin-mediated glucose uptake, urinary uric acid clearance, and plasma uric acid concentration. JAMA 266:3008–3011CrossRefPubMed Facchini F, Chen Y-DI, Hollenbeck CB, Reaven GM (1991) Relationship between resistance to insulin-mediated glucose uptake, urinary uric acid clearance, and plasma uric acid concentration. JAMA 266:3008–3011CrossRefPubMed
7.
go back to reference Lyngdoh T, Vuistiner P, Marques-Vidal P, Rousson V, Waeber G, Vollenweider P et al (2012) Serum uric acid and adiposity: deciphering causality using a bidirectional Mendelian randomization approach. PLoS One 7:e39321PubMedCentralCrossRefPubMed Lyngdoh T, Vuistiner P, Marques-Vidal P, Rousson V, Waeber G, Vollenweider P et al (2012) Serum uric acid and adiposity: deciphering causality using a bidirectional Mendelian randomization approach. PLoS One 7:e39321PubMedCentralCrossRefPubMed
8.
go back to reference Rasheed H, Hughes K, Flynn TJ, Merriman TR (2014) Mendelian randomisation provides no evidence for a causal role of serum urate in increasing serum triglyceride levels. Circ Cardiovasc Genet 7:830–837PubMedCentralCrossRefPubMed Rasheed H, Hughes K, Flynn TJ, Merriman TR (2014) Mendelian randomisation provides no evidence for a causal role of serum urate in increasing serum triglyceride levels. Circ Cardiovasc Genet 7:830–837PubMedCentralCrossRefPubMed
9.
go back to reference Krief S, Lönnqvist F, Raimbault S, Baude B, Van Spronsen A, Arner P et al (1993) Tissue distribution of beta 3-adrenergic receptor mRNA in man. J Clin Invest 91:344–349PubMedCentralCrossRefPubMed Krief S, Lönnqvist F, Raimbault S, Baude B, Van Spronsen A, Arner P et al (1993) Tissue distribution of beta 3-adrenergic receptor mRNA in man. J Clin Invest 91:344–349PubMedCentralCrossRefPubMed
10.
go back to reference Kurokawa N, Young EH, Oka Y, Satoh H, Wareham NJ, Sandhu M et al (2008) The ADRB3 Trp64Arg variant and BMI: a meta-analysis of 44,833 individuals. Int J Obes 32:1240–1249CrossRef Kurokawa N, Young EH, Oka Y, Satoh H, Wareham NJ, Sandhu M et al (2008) The ADRB3 Trp64Arg variant and BMI: a meta-analysis of 44,833 individuals. Int J Obes 32:1240–1249CrossRef
11.
go back to reference Gjesing A, Andersen G, Borch-Johnsen K, Jørgensen T, Hansen T, Pedersen O (2008) Association of the β3-adrenergic receptor Trp64Arg polymorphism with common metabolic traits: studies of 7605 middle-aged white people. Mol Genet Metab 94:90–97CrossRefPubMed Gjesing A, Andersen G, Borch-Johnsen K, Jørgensen T, Hansen T, Pedersen O (2008) Association of the β3-adrenergic receptor Trp64Arg polymorphism with common metabolic traits: studies of 7605 middle-aged white people. Mol Genet Metab 94:90–97CrossRefPubMed
12.
go back to reference Widen E, Lehto M, Kanninen T, Walston J, Shuldiner AR, Groop LC (1995) Association of a polymorphism in the β3-adrenergic–receptor gene with features of the insulin resistance syndrome in Finns. N Engl J Med 333:348–352CrossRefPubMed Widen E, Lehto M, Kanninen T, Walston J, Shuldiner AR, Groop LC (1995) Association of a polymorphism in the β3-adrenergic–receptor gene with features of the insulin resistance syndrome in Finns. N Engl J Med 333:348–352CrossRefPubMed
13.
go back to reference Strazzullo P, Iacone R, Siani A, Cappuccio FP, Russo O, Barba G et al (2001) Relationship of the Trp64Arg polymorphism of the beta3-adrenoceptor gene to central adiposity and high blood pressure: interaction with age. Cross-sectional and longitudinal findings of the Olivetti Prospective Heart Study. J Hypertens 19:399–406CrossRefPubMed Strazzullo P, Iacone R, Siani A, Cappuccio FP, Russo O, Barba G et al (2001) Relationship of the Trp64Arg polymorphism of the beta3-adrenoceptor gene to central adiposity and high blood pressure: interaction with age. Cross-sectional and longitudinal findings of the Olivetti Prospective Heart Study. J Hypertens 19:399–406CrossRefPubMed
14.
go back to reference Wang G, Li Q, Niu T, Chen C, Xu X (2002) Association of GYS1 and beta (3)-AR gene with postprandial hyperglycemia and serum uric acid in type 2 diabetes mellitus. Chin Med J 115:1308–1311PubMed Wang G, Li Q, Niu T, Chen C, Xu X (2002) Association of GYS1 and beta (3)-AR gene with postprandial hyperglycemia and serum uric acid in type 2 diabetes mellitus. Chin Med J 115:1308–1311PubMed
15.
go back to reference Rho YH, Choi SJ, Lee YH, Ji JD, Song GG (2007) The association between hyperuricemia and the Trp64Arg polymorphism of the beta-3 adrenergic receptor. Rheumatol Int 27:835–839CrossRefPubMed Rho YH, Choi SJ, Lee YH, Ji JD, Song GG (2007) The association between hyperuricemia and the Trp64Arg polymorphism of the beta-3 adrenergic receptor. Rheumatol Int 27:835–839CrossRefPubMed
16.
go back to reference Huang Q, Zhang L-F, Cheng Y, Zhao Y-C, Si L, Gao Y et al (2013) Trp64Arg (rs4994) polymorphism of β3-adrenergic receptor gene is associated with hyperuricemia in a Chinese male population. Clin Chem Lab Med 51:1755–1760PubMed Huang Q, Zhang L-F, Cheng Y, Zhao Y-C, Si L, Gao Y et al (2013) Trp64Arg (rs4994) polymorphism of β3-adrenergic receptor gene is associated with hyperuricemia in a Chinese male population. Clin Chem Lab Med 51:1755–1760PubMed
17.
go back to reference Morcillo S, Rojo-Martínez G, Martín-Núñez GM, Gómez-Zumaquero JM, García-Fuentes E, de Adana MR et al (2010) Trp64Arg polymorphism of the ADRB3 gene predicts hyperuricemia risk in a population from southern Spain. J Rheumatol 37:417–421CrossRefPubMed Morcillo S, Rojo-Martínez G, Martín-Núñez GM, Gómez-Zumaquero JM, García-Fuentes E, de Adana MR et al (2010) Trp64Arg polymorphism of the ADRB3 gene predicts hyperuricemia risk in a population from southern Spain. J Rheumatol 37:417–421CrossRefPubMed
18.
go back to reference Wang B, Meng D, Wang J, Jia Z, Zhoub S, Liu S et al (2011) Positive correlation between Beta-3-Adrenergic Receptor (ADRB3) gene and gout in a Chinese male population. J Rheumatol 38:738–740CrossRefPubMed Wang B, Meng D, Wang J, Jia Z, Zhoub S, Liu S et al (2011) Positive correlation between Beta-3-Adrenergic Receptor (ADRB3) gene and gout in a Chinese male population. J Rheumatol 38:738–740CrossRefPubMed
19.
go back to reference Winnard D, Wright C, Jackson G, Gow P, Kerr A, McLachlan A et al (2013) Gout, diabetes and cardiovascular disease in the Aotearoa New Zealand adult population: co-prevalence and implications for clinical practice. NZ Med J. 126:53–64 Winnard D, Wright C, Jackson G, Gow P, Kerr A, McLachlan A et al (2013) Gout, diabetes and cardiovascular disease in the Aotearoa New Zealand adult population: co-prevalence and implications for clinical practice. NZ Med J. 126:53–64
20.
go back to reference Winnard D, Wright C, Taylor WJ, Jackson G, Te Karu L, Gow PJ et al (2012) National prevalence of gout derived from administrative health data in Aotearoa New Zealand. Rheumatol 51:901–909CrossRef Winnard D, Wright C, Taylor WJ, Jackson G, Te Karu L, Gow PJ et al (2012) National prevalence of gout derived from administrative health data in Aotearoa New Zealand. Rheumatol 51:901–909CrossRef
21.
go back to reference Wallace SL, Robinson H, Masi AT, Decker JL, McCarty DJ, Yu TF (1977) Preliminary criteria for the classification of the acute arthritis of primary gout. Arthritis Rheum 20:895–900CrossRefPubMed Wallace SL, Robinson H, Masi AT, Decker JL, McCarty DJ, Yu TF (1977) Preliminary criteria for the classification of the acute arthritis of primary gout. Arthritis Rheum 20:895–900CrossRefPubMed
22.
go back to reference Hollis-Moffatt JE, Phipps-Green AJ, Chapman B, Jones GT, van Rij A, Gow PJ et al (2012) The renal urate transporter SLC17A1 locus: confirmation of association with gout. Arthritis Res Ther 14:R92PubMedCentralCrossRefPubMed Hollis-Moffatt JE, Phipps-Green AJ, Chapman B, Jones GT, van Rij A, Gow PJ et al (2012) The renal urate transporter SLC17A1 locus: confirmation of association with gout. Arthritis Res Ther 14:R92PubMedCentralCrossRefPubMed
23.
go back to reference Howie B, Marchini J, Stephens M (2011) Genotype imputation with thousands of genomes. G3: genes, genomes. Genetics 1:457–470 Howie B, Marchini J, Stephens M (2011) Genotype imputation with thousands of genomes. G3: genes, genomes. Genetics 1:457–470
24.
go back to reference Team RC (2012) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. ISBN 3-900051-07-0 Team RC (2012) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. ISBN 3-900051-07-0
25.
go back to reference Phipps-Green AJ, Hollis-Moffatt J, Dalbeth N, Merriman ME, Topless R, Gow PJ et al (2010) A strong role for the ABCG2 gene in susceptibility to gout in New Zealand Pacific Island and Caucasian, but not Māori, case and control sample sets. Hum Mol Genet 19:4813–4819CrossRefPubMed Phipps-Green AJ, Hollis-Moffatt J, Dalbeth N, Merriman ME, Topless R, Gow PJ et al (2010) A strong role for the ABCG2 gene in susceptibility to gout in New Zealand Pacific Island and Caucasian, but not Māori, case and control sample sets. Hum Mol Genet 19:4813–4819CrossRefPubMed
26.
go back to reference Savage DB, Petersen KF, Shulman GI (2005) Mechanisms of insulin resistance in humans and possible links with inflammation. Hypertension 45:828–833CrossRefPubMed Savage DB, Petersen KF, Shulman GI (2005) Mechanisms of insulin resistance in humans and possible links with inflammation. Hypertension 45:828–833CrossRefPubMed
27.
go back to reference Park HS, Shin ES, Lee JE (2008) Genotypes and haplotypes of β2-adrenergic receptor and parameters of the metabolic syndrome in Korean adolescents. Metabolism 57:1064–1070CrossRefPubMed Park HS, Shin ES, Lee JE (2008) Genotypes and haplotypes of β2-adrenergic receptor and parameters of the metabolic syndrome in Korean adolescents. Metabolism 57:1064–1070CrossRefPubMed
28.
go back to reference Zhan S, Ho SC (2005) Meta-analysis of the association of the Trp64Arg polymorphism in the β3 adrenergic receptor with insulin resistance. Obes Res 13:1709–1719CrossRefPubMed Zhan S, Ho SC (2005) Meta-analysis of the association of the Trp64Arg polymorphism in the β3 adrenergic receptor with insulin resistance. Obes Res 13:1709–1719CrossRefPubMed
29.
go back to reference Mark A, Rahmouni K, Correia M, Haynes W (2003) A leptin-sympathetic-leptin feedback loop: potential implications for regulation of arterial pressure and body fat. Acta Physiol Scand 177:345–349CrossRefPubMed Mark A, Rahmouni K, Correia M, Haynes W (2003) A leptin-sympathetic-leptin feedback loop: potential implications for regulation of arterial pressure and body fat. Acta Physiol Scand 177:345–349CrossRefPubMed
30.
go back to reference Bedir A, Topbas M, Tanyeri F, Alvur M, Arik N (2003) Leptin might be a regulator of serum uric acid concentrations in humans. Jpn Heart J 44:527–536CrossRefPubMed Bedir A, Topbas M, Tanyeri F, Alvur M, Arik N (2003) Leptin might be a regulator of serum uric acid concentrations in humans. Jpn Heart J 44:527–536CrossRefPubMed
31.
go back to reference Modan M, Halkin H, Karasik A, Lusky A (1987) Elevated serum uric acid—a facet of hyperinsulinaemia. Diabetologia 30:713–718CrossRefPubMed Modan M, Halkin H, Karasik A, Lusky A (1987) Elevated serum uric acid—a facet of hyperinsulinaemia. Diabetologia 30:713–718CrossRefPubMed
32.
go back to reference Quiñones-Galvan A, Ferrannini E (1996) Renal effects of insulin in man. J Nephrol 10:188–191 Quiñones-Galvan A, Ferrannini E (1996) Renal effects of insulin in man. J Nephrol 10:188–191
Metadata
Title
Association analysis of the beta-3 adrenergic receptor Trp64Arg (rs4994) polymorphism with urate and gout
Authors
Tahzeeb Fatima
Sara Altaf
Amanda Phipps-Green
Ruth Topless
Tanya J. Flynn
Lisa K. Stamp
Nicola Dalbeth
Tony R. Merriman
Publication date
01-02-2016
Publisher
Springer Berlin Heidelberg
Published in
Rheumatology International / Issue 2/2016
Print ISSN: 0172-8172
Electronic ISSN: 1437-160X
DOI
https://doi.org/10.1007/s00296-015-3370-6

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