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Association between gout and polymorphisms in GCKR in male Han Chinese

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A Publisher's Erratum to this article was published on 31 March 2012

Abstract

Several genome-wide association studies (GWASs) have reported associations between single nucleotide polymorphisms (SNPs) and uric acid concentrations or gout in a number of different ethnic populations. To clarify the global relevance of the previously identified SNPs in the development of the qualitative trait gout, in the present study, the associations between two SNPs in the glucokinase (hexokinase 4) regulator (GCKR) gene and gout were assessed in a male Chinese Han population. The study population comprised 476 male gout patients and 465 male controls. Multiple PCR was performed using time-of-flight mass spectrometry (MALDI-TOF MS) to identify genotypes. Two SNPs, rs780093 and rs780094, located in intronic regions of the GCKR gene were found to be significantly associated with the development of gout. Thus, the association between the two GCKR SNPs and gout was replicated in the male Han Chinese population investigated in the present study. Furthermore, GCKR was identified as a novel candidate gene associated with gout.

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References

  • Dehghan A, Kottgen A, Yang Q, Hwang SJ, Kao WL, Rivadeneira F, Boerwinkle E, Levy D, Hofman A, Astor BC, Benjamin EJ, van Duijn CM, Witteman JC, Coresh J, Fox CS (2008) Association of three genetic loci with uric acid concentration and risk of gout: a genome-wide association study. Lancet 372:1953–1961. doi:10.1016/S0140-6736(08)61343-4

    Article  PubMed  CAS  Google Scholar 

  • Doring A, Gieger C, Mehta D, Gohlke H, Prokisch H, Coassin S, Fischer G, Henke K, Klopp N, Kronenberg F, Paulweber B, Pfeufer A, Rosskopf D, Volzke H, Illig T, Meitinger T, Wichmann HE, Meisinger C (2008) SLC2A9 influences uric acid concentrations with pronounced sex-specific effects. Nat Genet 40:430–436. doi:10.1038/ng.107

    Article  PubMed  Google Scholar 

  • Kolz M, Johnson T, Sanna S, Teumer A, Vitart V, Perola M, Mangino M, Albrecht E, Wallace C, Farrall M, Johansson A, Nyholt DR, Aulchenko Y, Beckmann JS, Bergmann S, Bochud M, Brown M, Campbell H, Connell J, Dominiczak A, Homuth G, Lamina C, McCarthy MI, Meitinger T, Mooser V, Munroe P, Nauck M, Peden J, Prokisch H, Salo P, Salomaa V, Samani NJ, Schlessinger D, Uda M, Volker U, Waeber G, Waterworth D, Wang-Sattler R, Wright AF, Adamski J, Whitfield JB, Gyllensten U, Wilson JF, Rudan I, Pramstaller P, Watkins H, Doering A, Wichmann HE, Spector TD, Peltonen L, Volzke H, Nagaraja R, Vollenweider P, Caulfield M, Illig T, Gieger C (2009) Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations. PLoS Genet 5:e1000504. doi:10.1371/journal.pgen.1000504

    Article  PubMed  Google Scholar 

  • Lai HM, Chen CJ, Su BY, Chen YC, Yu SF, Yen JH, Hsieh MC, Cheng TT, Chang SJ (2011) Gout and Type 2 diabetes have a mutual inter-dependent effect on genetic risk factors and higher incidences. Rheumatology (Oxford). doi:10.1093/rheumatology/ker373

  • Li S, Sanna S, Maschio A, Busonero F, Usala G, Mulas A, Lai S, Dei M, Orru M, Albai G, Bandinelli S, Schlessinger D, Lakatta E, Scuteri A, Najjar SS, Guralnik J, Naitza S, Crisponi L, Cao A, Abecasis G, Ferrucci L, Uda M, Chen WM, Nagaraja R (2007) The GLUT9 gene is associated with serum uric acid levels in Sardinia and Chianti cohorts. PLoS Genet 3:e194. doi:10.1371/journal.pgen.0030194

    Article  PubMed  Google Scholar 

  • Lin KC, Lin HY, Chou P (2000) The interaction between uric acid level and other risk factors on the development of gout among asymptomatic hyperuricemic men in a prospective study. J Rheumatol 27:1501–1505

    PubMed  CAS  Google Scholar 

  • Ling Y, Li X, Gu Q, Chen H, Lu D, Gao X (2011) Associations of common polymorphisms in GCKR with type 2 diabetes and related traits in a Han Chinese population: a case-control study. BMC Med Genet 12:66. doi:10.1186/1471-2350-12-66

    Article  PubMed  CAS  Google Scholar 

  • Luk AJ, Simkin PA (2005) Epidemiology of hyperuricemia and gout. Am J Manag Care 11: S435–S442 (quiz S465–8). pii: 3040

    PubMed  Google Scholar 

  • McArdle PF, Parsa A, Chang YP, Weir MR, O’Connell JR, Mitchell BD, Shuldiner AR (2008) Association of a common nonsynonymous variant in GLUT9 with serum uric acid levels in old order amish. Arthritis Rheum 58:2874–2881. doi:10.1002/art.23752

    Article  PubMed  Google Scholar 

  • Sparso T, Andersen G, Nielsen T, Burgdorf KS, Gjesing AP, Nielsen AL, Albrechtsen A, Rasmussen SS, Jorgensen T, Borch-Johnsen K, Sandbaek A, Lauritzen T, Madsbad S, Hansen T, Pedersen O (2008) The GCKR rs780094 polymorphism is associated with elevated fasting serum triacylglycerol, reduced fasting and OGTT-related insulinaemia, and reduced risk of type 2 diabetes. Diabetologia 51:70–75. doi:10.1007/s00125-007-0865-z

    Article  PubMed  CAS  Google Scholar 

  • Stark K, Reinhard W, Grassl M, Erdmann J, Schunkert H, Illig T, Hengstenberg C (2009) Common polymorphisms influencing serum uric acid levels contribute to susceptibility to gout, but not to coronary artery disease. PLoS ONE 4:e7729. doi:10.1371/journal.pone.0007729

    Article  PubMed  Google Scholar 

  • Suhre K, Shin SY, Petersen AK, Mohney RP, Meredith D, Wagele B, Altmaier E, Deloukas P, Erdmann J, Grundberg E, Hammond CJ, de Angelis MH, Kastenmuller G, Kottgen A, Kronenberg F, Mangino M, Meisinger C, Meitinger T, Mewes HW, Milburn MV, Prehn C, Raffler J, Ried JS, Romisch-Margl W, Samani NJ, Small KS, Wichmann HE, Zhai G, Illig T, Spector TD, Adamski J, Soranzo N, Gieger C (2011) Human metabolic individuality in biomedical and pharmaceutical research. Nature 477:54–60. doi:10.1038/nature10354

    Article  PubMed  CAS  Google Scholar 

  • Tu HP, Chen CJ, Tovosia S, Ko AM, Lee CH, Ou TT, Lin GT, Chang SJ, Chiang SL, Chiang HC, Chen PH, Wang SJ, Lai HM, Ko YC (2010) Associations of a non-synonymous variant in SLC2A9 with gouty arthritis and uric acid levels in Han Chinese subjects and Solomon Islanders. Ann Rheum Dis 69:887–890. doi:10.1136/ard.2009.113357

    Article  PubMed  CAS  Google Scholar 

  • Urano W, Taniguchi A, Anzai N, Inoue E, Sekita C, Endou H, Kamatani N, Yamanaka H (2010) Association between GLUT9 and gout in Japanese men. Ann Rheum Dis 69:932–933. doi:10.1136/ard.2009.111096

    Article  PubMed  Google Scholar 

  • Vitart V, Rudan I, Hayward C, Gray NK, Floyd J, Palmer CN, Knott SA, Kolcic I, Polasek O, Graessler J, Wilson JF, Marinaki A, Riches PL, Shu X, Janicijevic B, Smolej-Narancic N, Gorgoni B, Morgan J, Campbell S, Biloglav Z, Barac-Lauc L, Pericic M, Klaric IM, Zgaga L, Skaric-Juric T, Wild SH, Richardson WA, Hohenstein P, Kimber CH, Tenesa A, Donnelly LA, Fairbanks LD, Aringer M, McKeigue PM, Ralston SH, Morris AD, Rudan P, Hastie ND, Campbell H, Wright AF (2008) SLC2A9 is a newly identified urate transporter influencing serum urate concentration, urate excretion and gout. Nat Genet 40:437–442. doi:10.1038/ng.106

    Article  PubMed  CAS  Google Scholar 

  • 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 20:895–900

    Article  PubMed  CAS  Google Scholar 

  • Wallace C, Newhouse SJ, Braund P, Zhang F, Tobin M, Falchi M, Ahmadi K, Dobson RJ, Marcano AC, Hajat C, Burton P, Deloukas P, Brown M, Connell JM, Dominiczak A, Lathrop GM, Webster J, Farrall M, Spector T, Samani NJ, Caulfield MJ, Munroe PB (2008) Genome-wide association study identifies genes for biomarkers of cardiovascular disease: serum urate and dyslipidemia. Am J Hum Genet 82:139–149. doi:10.1016/j.ajhg.2007.11.001

    Article  PubMed  CAS  Google Scholar 

  • Wang B, Miao Z, Liu S, Wang J, Zhou S, Han L, Meng D, Wang Y, Li C, Ma X (2010) Genetic analysis of ABCG2 gene C421A polymorphism with gout disease in Chinese Han male population. Hum Genet 127:245–246. doi:10.1007/s00439-009-0760-4

    Article  PubMed  Google Scholar 

  • Wang B, Meng D, Wang J, Jia Z, Zhoub S, Liu S, Chu N, Han L, Zhang K, Ma X, Li C (2011) Positive correlation between Beta-3-Adrenergic Receptor (ADRB3) gene and gout in a Chinese male population. J Rheumatol 38:738–740. doi:10.3899/jrheum.101037

    Article  PubMed  Google Scholar 

  • Yamagishi K, Tanigawa T, Kitamura A, Kottgen A, Folsom AR, Iso H (2010) The rs2231142 variant of the ABCG2 gene is associated with uric acid levels and gout among Japanese people. Rheumatology (Oxford). doi: 10.1093/rheumatology/keq096

  • Zeng QY, Chen R, Darmawan J, Xiao ZY, Chen SB, Wigley R, Le Chen S, Zhang NZ (2008) Rheumatic diseases in China. Arthritis Res Ther 10: R17. doi:10.1186/ar2368

    Article  PubMed  Google Scholar 

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Acknowledgments

This work was supported by the National Infrastructure Program of Chinese Genetic Resources (2006DKA21300), the National Basic Research Program of China (2010CB534902), the National Science & Technology Pillar Program of China (No.2008BAH24B05), and the National Natural Science and Foundation of China (30871192).

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Correspondence to Xu Ma.

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The authors J. Wang and S. Liu contributed equally to the work.

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Wang, J., Liu, S., Wang, B. et al. Association between gout and polymorphisms in GCKR in male Han Chinese. Hum Genet 131, 1261–1265 (2012). https://doi.org/10.1007/s00439-012-1151-9

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