BACKGROUND: Recent genome-wide association studies have identified several genetic variants as susceptibility loci for serum uric acid (UA) levels. We also identified a common nonsense mutation, W258X, responsible for renal hypouricemia. Here, we investigated clinical implications of these genetic variants by cross-sectional and longitudinal genetic epidemiological analysis. METHODS: The study enrolled 5,165 Japanese subjects aged 64 ± 12 years from the general population. Clinical parameters were obtained from the personal health records, evaluated at medical checkups. RESULTS: Serum UA levels were significantly different between the SLC22A12 rs11231825 (CC/CT/TT: 4.5 ± 1.6, 5.0 ± 1.4, 5.3 ± 1.4 mg/dl; p = 7.6 × 10(-20)), SLC2A9 rs1014290 (TT/TG/GG: 4.9 ± 1.4, 5.1 ± 1.4, 5.3 ± 1.4 mg/dl; p = 3.1 × 10(-11)) and ABCG2 rs2231142 (TT/TG/GG: 5.3 ± 1.5, 5.2 ± 1.4, 5.1 ± 1.4 mg/dl; p = 2.0 × 10(-5)) genotypes. During 9.4 years of follow-up, 87 new cases of hyperuricemia were diagnosed. Multiple logistic regression analysis identified the accumulation of risk alleles as a significant determinant of future development of hyperuricemia (OR = 7.94; 95% CI: 1.97-53.6). In contrast, subjects with nonsense mutation predominantly showed lower UA levels (XX/XW/WW: 1.3 ± 1.7, 3.6 ± 1.0, 5.2 ± 1.4 mg/dl; p = 9.3 × 10(-82)). However, these subjects showed significantly reduced renal function (β = -0.111; p < 0.001) independently of possible covariates. CONCLUSION: Accumulation of risk genotypes was an independent risk factor for future development of hyperuricemia. Genetically developed hypouricemia was an independent risk factor for decreased renal function.
BACKGROUND: Recent genome-wide association studies have identified several genetic variants as susceptibility loci for serum uric acid (UA) levels. We also identified a common nonsense mutation, W258X, responsible for renal hypouricemia. Here, we investigated clinical implications of these genetic variants by cross-sectional and longitudinal genetic epidemiological analysis. METHODS: The study enrolled 5,165 Japanese subjects aged 64 ± 12 years from the general population. Clinical parameters were obtained from the personal health records, evaluated at medical checkups. RESULTS: Serum UA levels were significantly different between the SLC22A12rs11231825 (CC/CT/TT: 4.5 ± 1.6, 5.0 ± 1.4, 5.3 ± 1.4 mg/dl; p = 7.6 × 10(-20)), SLC2A9rs1014290 (TT/TG/GG: 4.9 ± 1.4, 5.1 ± 1.4, 5.3 ± 1.4 mg/dl; p = 3.1 × 10(-11)) and ABCG2rs2231142 (TT/TG/GG: 5.3 ± 1.5, 5.2 ± 1.4, 5.1 ± 1.4 mg/dl; p = 2.0 × 10(-5)) genotypes. During 9.4 years of follow-up, 87 new cases of hyperuricemia were diagnosed. Multiple logistic regression analysis identified the accumulation of risk alleles as a significant determinant of future development of hyperuricemia (OR = 7.94; 95% CI: 1.97-53.6). In contrast, subjects with nonsense mutation predominantly showed lower UA levels (XX/XW/WW: 1.3 ± 1.7, 3.6 ± 1.0, 5.2 ± 1.4 mg/dl; p = 9.3 × 10(-82)). However, these subjects showed significantly reduced renal function (β = -0.111; p < 0.001) independently of possible covariates. CONCLUSION: Accumulation of risk genotypes was an independent risk factor for future development of hyperuricemia. Genetically developed hypouricemia was an independent risk factor for decreased renal function.
Authors: Daniele Campa; Katja Butterbach; Susan L Slager; Christine F Skibola; Silvia de Sanjosé; Yolanda Benavente; Nikolaus Becker; Lenka Foretova; Marc Maynadie; Pierluigi Cocco; Anthony Staines; Rudolf Kaaks; Paolo Boffetta; Paul Brennan; Lucia Conde; Paige M Bracci; Neil E Caporaso; Sara S Strom; Nicola J Camp; James R Cerhan; Federico Canzian; Alexandra Nieters Journal: Int J Cancer Date: 2011-11-28 Impact factor: 7.396
Authors: R Kawamoto; D Ninomiya; Y Kasai; K Senzaki; T Kusunoki; N Ohtsuka; T Kumagi Journal: J Endocrinol Invest Date: 2017-09-25 Impact factor: 4.256
Authors: Lili Zhang; Kylee L Spencer; V Saroja Voruganti; Neal W Jorgensen; Myriam Fornage; Lyle G Best; Kristin D Brown-Gentry; Shelley A Cole; Dana C Crawford; Ewa Deelman; Nora Franceschini; Angelo L Gaffo; Kimberly R Glenn; Gerardo Heiss; Nancy S Jenny; Anna Kottgen; Qiong Li; Kiang Liu; Tara C Matise; Kari E North; Jason G Umans; W H Linda Kao Journal: Am J Epidemiol Date: 2013-04-03 Impact factor: 4.897