Literature DB >> 19861489

Replication of the five novel loci for uric acid concentrations and potential mediating mechanisms.

Pim van der Harst1, Stephan J L Bakker, Rudolf A de Boer, Bruce H R Wolffenbuttel, Toby Johnson, Mark J Caulfield, Gerjan Navis.   

Abstract

Uric acid (UA) is the final catabolic product of purine metabolism and elevated levels are associated with diabetes and cardiovascular disease. A recent meta-analysis of genome-wide association studies totalling 28,141 participants identified five novel loci associated with serum UA levels. In our population-based cohort of 7795 subjects, we replicated four of these five loci; PDZK1 (rs12129861, P = 1.07 x 10(-3)), glucokinase regulator protein (GCKR) (rs780094, P = 4.83 x 10(-4)), SLC16A9 (rs742132, P = 0.047) and SLC22A11 (rs17300741, P = 6.13 x 10(-3)), but not LRRC16A (rs742132, P = 0.645). Serum UA concentration is a complex trait, closely associated to renal UA handling (fractional UA excretion, P < 1 x 10(-300)), renal function (serum creatinine, P < 1 x 10(-300)) and the metabolic syndrome (including fasting insulin, P = 2.48 x 10(-232); insulin resistance, P = 2.51 x 10(-258); waist circumference, P < 1 x 10(-300)) and systolic blood pressure (P = 1.93 x 10(-219)). Together these factors explain 67% of the variance in UA levels. Therefore, we sought to determine the potential contribution of these factors to the association of these novel loci with UA levels, by including them as additional explanatory variables in our analyses, and by considering them as alternative response variables. The association with the GCKR locus is attenuated by serum triglycerides and fractional UA excretion. We also observed the GCKR locus to be associated with total cholesterol (P = 7.52 x 10(-6)), triglycerides (P = 2.65 x 10(-9)), fasting glucose (P = 0.011), fractional UA excretion (P = 3.36 x 10(-5)) and high-sensitive CRP (P = 1.18 x 10(-3)) also after adjusting for serum UA levels. We argue that GCKR locus affects serum UA levels through a factor that also affects triglycerides.

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Year:  2009        PMID: 19861489     DOI: 10.1093/hmg/ddp489

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  42 in total

1.  Effects of SLC2A9 variants on uric acid levels in a Korean population.

Authors:  Jae Woong Sull; Eun Jung Park; Myoungsook Lee; Sun Ha Jee
Journal:  Rheumatol Int       Date:  2012-01-03       Impact factor: 2.631

2.  Genetic polymorphisms in the PDZK1 gene and susceptibility to gout in male Han Chinese: a case-control study.

Authors:  Ming Li; Qiang Li; Chang-Gui Li; Min Guo; Jin-Mei Xu; Ying-Ying Tang; Qing-Song Zhao; Yu-Hua Hu; Zhi-Feng Cheng; Jin-Chao Zhang
Journal:  Int J Clin Exp Med       Date:  2015-08-15

3.  Predicting allopurinol response in patients with gout.

Authors:  Daniel F B Wright; Stephen B Duffull; Tony R Merriman; Nicola Dalbeth; Murray L Barclay; Lisa K Stamp
Journal:  Br J Clin Pharmacol       Date:  2015-12-29       Impact factor: 4.335

Review 4.  The organic anion transporter (OAT) family: a systems biology perspective.

Authors:  Sanjay K Nigam; Kevin T Bush; Gleb Martovetsky; Sun-Young Ahn; Henry C Liu; Erin Richard; Vibha Bhatnagar; Wei Wu
Journal:  Physiol Rev       Date:  2015-01       Impact factor: 37.312

Review 5.  Genetics of hyperuricemia and gout: implications for the present and future.

Authors:  Ronald L George; Robert T Keenan
Journal:  Curr Rheumatol Rep       Date:  2013-02       Impact factor: 4.592

Review 6.  [The etiology and management of gout].

Authors:  B Pazár Maldonado; A So
Journal:  Z Rheumatol       Date:  2012-02       Impact factor: 1.372

Review 7.  Recent advances in renal urate transport: characterization of candidate transporters indicated by genome-wide association studies.

Authors:  Naohiko Anzai; Promsuk Jutabha; Sirirat Amonpatumrat-Takahashi; Hiroyuki Sakurai
Journal:  Clin Exp Nephrol       Date:  2011-11-01       Impact factor: 2.801

8.  No evidence for a causal link between uric acid and type 2 diabetes: a Mendelian randomisation approach.

Authors:  R Pfister; D Barnes; R Luben; N G Forouhi; M Bochud; K-T Khaw; N J Wareham; C Langenberg
Journal:  Diabetologia       Date:  2011-06-30       Impact factor: 10.122

9.  Association of rs780094 in GCKR with metabolic traits and incident diabetes and cardiovascular disease: the ARIC Study.

Authors:  Mark Bi; Wen Hong Linda Kao; Eric Boerwinkle; Ron C Hoogeveen; Laura J Rasmussen-Torvik; Brad C Astor; Kari E North; Josef Coresh; Anna Köttgen
Journal:  PLoS One       Date:  2010-07-22       Impact factor: 3.240

10.  The population pharmacokinetics of allopurinol and oxypurinol in patients with gout.

Authors:  Daniel F B Wright; Lisa K Stamp; Tony R Merriman; Murray L Barclay; Stephen B Duffull; Nicholas H G Holford
Journal:  Eur J Clin Pharmacol       Date:  2013-03-10       Impact factor: 2.953

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