Literature DB >> 17978310

Genome scan for determinants of serum uric acid variability.

Subrata D Nath1, V Saroja Voruganti, Nedal H Arar, Farook Thameem, Juan C Lopez-Alvarenga, Richard Bauer, John Blangero, Jean W MacCluer, Anthony G Comuzzie, Hanna E Abboud.   

Abstract

Elevated serum uric acid level is associated with obesity, insulin resistance, diabetes, nephropathy, and hypertension. Epidemiologic studies suggest that serum uric acid levels are heritable. We sought to identify chromosomal regions harboring quantitative trait loci that influence serum uric acid in Mexican Americans using data from 644 participants in the San Antonio Family Heart Study. Serum uric acid was found to exhibit significant heritability (0.42) in this population (P = 2 x 10(-7)) after accounting for covariate effects. In addition, genetic correlations between serum uric acid and other cardiovascular risk factors, such as body mass index, waist circumference, systolic BP, and pulse pressure, were identified, suggesting that the genes associated with uric acid level are also associated with these phenotypes. Multipoint linkage analysis identified quantitative trait loci with measurable effects on serum uric acid variability. The highest multipoint logarithm of odds score of 3.3 was found at 133 cM on chromosome 6q22-23, a region that also contains genes that seem to influence familial IgA nephropathy, obesity, BP, insulin resistance, and type 2 diabetes. Given the relationship between uric acid level and these conditions, future studies should investigate potential candidate susceptibility genes found in this region.

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Year:  2007        PMID: 17978310     DOI: 10.1681/ASN.2007040426

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  44 in total

Review 1.  SLC2A9--a fructose transporter identified as a novel uric acid transporter.

Authors:  Myphuong T Le; Mohamed Shafiu; Wei Mu; Richard J Johnson
Journal:  Nephrol Dial Transplant       Date:  2008-07-07       Impact factor: 5.992

Review 2.  Global epidemiology of gout: prevalence, incidence and risk factors.

Authors:  Chang-Fu Kuo; Matthew J Grainge; Weiya Zhang; Michael Doherty
Journal:  Nat Rev Rheumatol       Date:  2015-07-07       Impact factor: 20.543

3.  Uric acid and chronic kidney disease: A time to act?

Authors:  Gianni Bellomo
Journal:  World J Nephrol       Date:  2013-05-06

4.  Serum uric acid levels are associated with polymorphisms in the SLC2A9, SF1, and GCKR genes in a Chinese population.

Authors:  Xue Sun; Feng Jiang; Rong Zhang; Shan-shan Tang; Miao Chen; Dan-feng Peng; Jing Yan; Tao Wang; Shi-yun Wang; Yu-qian Bao; Cheng Hu; Wei-ping Jia
Journal:  Acta Pharmacol Sin       Date:  2014-10-06       Impact factor: 6.150

5.  Uric Acid and Cardiovascular Events: A Mendelian Randomization Study.

Authors:  Marcus E Kleber; Graciela Delgado; Tanja B Grammer; Günther Silbernagel; Jie Huang; Bernhard K Krämer; Eberhard Ritz; Winfried März
Journal:  J Am Soc Nephrol       Date:  2015-03-18       Impact factor: 10.121

6.  Refining genome-wide associated loci for serum uric acid in individuals with African ancestry.

Authors:  Guanjie Chen; Daniel Shriner; Ayo P Doumatey; Jie Zhou; Amy R Bentley; Lin Lei; Adebowale Adeyemo; Charles N Rotimi
Journal:  Hum Mol Genet       Date:  2020-02-01       Impact factor: 6.150

7.  Association between serum uric acid and bone health in adolescents.

Authors:  F Karimi; M H Dabbaghmanesh; G R Omrani
Journal:  Osteoporos Int       Date:  2019-07-04       Impact factor: 4.507

8.  Genetic influences on type 2 diabetes and metabolic syndrome related quantitative traits in Mauritius.

Authors:  Jeremy B Jowett; Vincent P Diego; Navaratnam Kotea; Sudhir Kowlessur; Pierrot Chitson; Thomas D Dyer; Paul Zimmet; John Blangero
Journal:  Twin Res Hum Genet       Date:  2009-02       Impact factor: 1.587

9.  Use of penalized splines in extended Cox-type additive hazard regression to flexibly estimate the effect of time-varying serum uric acid on risk of cancer incidence: a prospective, population-based study in 78,850 men.

Authors:  Alexander M Strasak; Stefan Lang; Thomas Kneib; Larry J Brant; Jochen Klenk; Wolfgang Hilbe; Willi Oberaigner; Elfriede Ruttmann; Lalit Kaltenbach; Hans Concin; Günter Diem; Karl P Pfeiffer; Hanno Ulmer
Journal:  Ann Epidemiol       Date:  2008-10-04       Impact factor: 3.797

10.  Genome-wide linkage analysis for uric acid in families enriched for hypertension.

Authors:  Andrew D Rule; Brooke L Fridley; Steven C Hunt; Yan Asmann; Eric Boerwinkle; James S Pankow; Thomas H Mosley; Stephen T Turner
Journal:  Nephrol Dial Transplant       Date:  2009-03-03       Impact factor: 5.992

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