Association of functional polymorphism rs2231142 (Q141K) in the ABCG2 gene with serum uric acid and gout in 4 US populations: the PAGE Study.

A loss-of-function mutation (Q141K, rs2231142) in the ATP-binding cassette, subfamily G, member 2 gene (ABCG2) has been shown to be associated with serum uric acid levels and gout in Asians, Europeans, and European and African Americans; however, less is known about these associations in other populations. Rs2231142 was genotyped in 22,734 European Americans, 9,720 African Americans, 3,849 Mexican Americans, and 3,550 American Indians in the Population Architecture using Genomics and Epidemiology (PAGE) Study (2008-2012). Rs2231142 was significantly associated with serum uric acid levels (P = 2.37 × 10(-67), P = 3.98 × 10(-5), P = 6.97 × 10(-9), and P = 5.33 × 10(-4) in European Americans, African Americans, Mexican Americans, and American Indians, respectively) and gout (P = 2.83 × 10(-10), P = 0.01, and P = 0.01 in European Americans, African Americans, and Mexican Americans, respectively). Overall, the T allele was associated with a 0.24-mg/dL increase in serum uric acid level (P = 1.37 × 10(-80)) and a 1.75-fold increase in the odds of gout (P = 1.09 × 10(-12)). The association between rs2231142 and serum uric acid was significantly stronger in men, postmenopausal women, and hormone therapy users compared with their counterparts. The association with gout was also significantly stronger in men than in women. These results highlight a possible role of sex hormones in the regulation of ABCG2 urate transporter and its potential implications for the prevention, diagnosis, and treatment of hyperuricemia and gout.

[1]  C. Carlson,et al.  The Next PAGE in Understanding Complex Traits: Design for the Analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study , 2011, American journal of epidemiology.

[2]  A. Köttgen,et al.  Reliability and Sensitivity of the Self-report of Physician-diagnosed Gout in the Campaign Against Cancer and Heart Disease and the Atherosclerosis Risk in the Community Cohorts , 2011, The Journal of Rheumatology.

[3]  M. Marcelli,et al.  Design and Methods , 2011 .

[4]  T. Merriman,et al.  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. , 2010, Human molecular genetics.

[5]  Y. Kokubo,et al.  Association of Four Genetic Loci with Uric Acid Levels and Reduced Renal Function: The J-SHIPP Suita Study , 2010, American Journal of Nephrology.

[6]  A. Folsom,et al.  The rs2231142 variant of the ABCG2 gene is associated with uric acid levels and gout among Japanese people. , 2010, Rheumatology.

[7]  F. Kronenberg,et al.  Sex and age interaction with genetic association of atherogenic uric acid concentrations. , 2010, Atherosclerosis.

[8]  David S. Miller,et al.  17-β-Estradiol: A Powerful Modulator of Blood–Brain Barrier BCRP Activity , 2010, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[9]  Hyon K. Choi,et al.  Hyperuricemia and coronary heart disease: A systematic review and meta‐analysis , 2010, Arthritis care & research.

[10]  J. Erdmann,et al.  Common Polymorphisms Influencing Serum Uric Acid Levels Contribute to Susceptibility to Gout, but Not to Coronary Artery Disease , 2009, PloS one.

[11]  N. Hamajima,et al.  Common Defects of ABCG2, a High-Capacity Urate Exporter, Cause Gout: A Function-Based Genetic Analysis in a Japanese Population , 2009, Science Translational Medicine.

[12]  L. Almasy,et al.  Genetic influence on variation in serum uric acid in American Indians: the strong heart family study , 2009, Human Genetics.

[13]  E. Boerwinkle,et al.  Identification of a urate transporter, ABCG2, with a common functional polymorphism causing gout , 2009, Proceedings of the National Academy of Sciences.

[14]  Yurii S. Aulchenko,et al.  Multiple loci associated with indices of renal function and chronic kidney disease , 2009, Nature Genetics.

[15]  Christian Gieger,et al.  Meta-Analysis of 28,141 Individuals Identifies Common Variants within Five New Loci That Influence Uric Acid Concentrations , 2009, PLoS genetics.

[16]  A. Hofman,et al.  Association of three genetic loci with uric acid concentration and risk of gout: a genome-wide association study , 2008, The Lancet.

[17]  Duk-Hee Kang,et al.  Uric acid and cardiovascular risk. , 2008, The New England journal of medicine.

[18]  M. Tobin,et al.  Coronary Artery Disease–Associated Locus on Chromosome 9p21 and Early Markers of Atherosclerosis , 2008, Arteriosclerosis, thrombosis, and vascular biology.

[19]  Florian Kronenberg,et al.  Association of genetic variation on chromosome 9p21 with susceptibility and progression of atherosclerosis: a population-based, prospective study. , 2008, Journal of the American College of Cardiology.

[20]  A. Weaver Epidemiology of gout. , 2008, Cleveland Clinic journal of medicine.

[21]  Jenny Chang-Claude,et al.  Gene–environment interactions for complex traits: definitions, methodological requirements and challenges , 2008, European Journal of Human Genetics.

[22]  C. Kwoh,et al.  Gout in ambulatory care settings in the United States. , 2008, The Journal of rheumatology.

[23]  Christopher B. Kendall,et al.  Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: a consensus statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force. Endorsed by the Society for Vascular Medicine. , 2008, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[24]  S. Gabriel,et al.  Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. , 2008, Arthritis and rheumatism.

[25]  Mario Falchi,et al.  Genome-wide Association Study Identifies Genes for Biomarkers of Cardiovascular Disease: Serum Urate and Dyslipidemia , 2022 .

[26]  C. Gieger,et al.  SLC2A9 influences uric acid concentrations with pronounced sex-specific effects , 2008, Nature Genetics.

[27]  William A. Richardson,et al.  SLC2A9 is a newly identified urate transporter influencing serum urate concentration, urate excretion and gout , 2008, Nature Genetics.

[28]  Atlanta,et al.  Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part I. , 2008, Arthritis and rheumatism.

[29]  J. Unadkat,et al.  Hormonal Regulation of BCRP Expression in Human Placental BeWo Cells , 2008, Pharmaceutical Research.

[30]  S. Bandinelli,et al.  The GLUT9 Gene Is Associated with Serum Uric Acid Levels in Sardinia and Chianti Cohorts , 2007, PLoS genetics.

[31]  M. Doherty,et al.  The changing epidemiology of gout , 2007, Nature Clinical Practice Rheumatology.

[32]  Matthias W. Lorenz,et al.  Prediction of Clinical Cardiovascular Events With Carotid Intima-Media Thickness: A Systematic Review and Meta-Analysis , 2007, Circulation.

[33]  L. Almasy,et al.  Linkage analysis of LDL cholesterol in American Indian populations: the Strong Heart Family Study s⃞s⃞ The online version of this article (available at http://www.jlr.org) contains additional figures. Published, JLR Papers in Press, November 1, 2005. , 2006, Journal of Lipid Research.

[34]  J. Blangero,et al.  BioMed Central , 2001 .

[35]  D. Levy,et al.  Genome-wide search for genes affecting serum uric acid levels: the Framingham Heart Study. , 2005, Metabolism: clinical and experimental.

[36]  A. V. van Herwaarden,et al.  Sex-Dependent Expression and Activity of the ATP-Binding Cassette Transporter Breast Cancer Resistance Protein (BCRP/ABCG2) in Liver , 2005, Molecular Pharmacology.

[37]  Y. Sugimoto,et al.  Estrogen-mediated post transcriptional down-regulation of breast cancer resistance protein/ABCG2. , 2005, Cancer research.

[38]  C. Klaassen,et al.  Tissue distribution and hormonal regulation of the breast cancer resistance protein (Bcrp/Abcg2) in rats and mice. , 2004, Biochemical and biophysical research communications.

[39]  K. Tuttle,et al.  Is there a pathogenetic role for uric acid in hypertension and cardiovascular and renal disease? , 2003, Hypertension.

[40]  B. Howard,et al.  Genetic and environmental contributions to cardiovascular disease risk in American Indians: the strong heart family study. , 2003, American journal of epidemiology.

[41]  T. Tsuruo,et al.  Estrone and 17β‐Estradiol Reverse Breast Cancer Resistance Protein‐mediated Multidrug Resistance , 2002, Japanese journal of cancer research : Gann.

[42]  P. F. Adams,et al.  Current estimates from the National Health Interview Survey, 1996. , 1999, Vital and health statistics. Series 10, Data from the National Health Survey.

[43]  L. Doyle,et al.  A multidrug resistance transporter from human MCF-7 breast cancer cells. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[44]  L. Almasy,et al.  Multipoint quantitative-trait linkage analysis in general pedigrees. , 1998, American journal of human genetics.

[45]  L. Almasy,et al.  Multipoint oligogenic linkage analysis of quantitative traits , 1997, Genetic epidemiology.

[46]  P. F. Adams,et al.  Current estimates from the National Health Interview Survey, 1994. , 1995, Vital and health statistics. Series 10, Data from the National Health Survey.

[47]  R. Kronmal,et al.  The Cardiovascular Health Study: design and rationale. , 1991, Annals of epidemiology.

[48]  P. Savage,et al.  The Strong Heart Study. A study of cardiovascular disease in American Indians: design and methods. , 1990, American journal of epidemiology.

[49]  A. Folsom,et al.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators. , 1989, American journal of epidemiology.

[50]  C. Schoenborn,et al.  Current estimates from the National Health Interview Survey. , 1988, Vital and health statistics. Series 10, Data from the National Health Survey.

[51]  S B Hulley,et al.  CARDIA: study design, recruitment, and some characteristics of the examined subjects. , 1988, Journal of clinical epidemiology.

[52]  E. Boerwinkle,et al.  The use of measured genotype information in the analysis of quantitative phenotypes in man , 1986, Annals of human genetics.