The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Identification of a urate transporter, ABCG2, with a common functional polymorphism causing gout
Open accessAbstract
Genome-wide association studies (GWAS) have successfully identified common single nucleotide polymorphisms (SNPs) associated with a wide variety of complex diseases, but do not address gene function or establish causality of disease-associated SNPs. We recently used GWAS to identify SNPs in a genomic region on chromosome 4 that associate with serum urate levels and gout, a consequence of elevated urate levels. Here we show using functional assays that human ATP-binding cassette, subfamily G, 2 (ABCG2), encoded by the ABCG2 gene contained in this region, is a hitherto unknown urate efflux transporter. We further show that native ABCG2 is located in the brush border membrane of kidney proximal tubule cells, where it mediates renal urate secretion. Introduction of the mutation Q141K encoded by the common SNP rs2231142 by site-directed mutagenesis resulted in 53% reduced urate transport rates compared to wild-type ABCG2 ( P < 0.001). Data from a population-based study of 14,783 individuals support rs2231142 as the causal variant in the region and show highly significant associations with urate levels [whites: P = 10 −30 , minor allele frequency (MAF) 0.11; blacks P = 10 −4 , MAF 0.03] and gout (adjusted odds ratio 1.68 per risk allele, both races). Our data indicate that at least 10% of all gout cases in whites are attributable to this causal variant. With approximately 3 million US individuals suffering from often insufficiently treated gout, ABCG2 represents an attractive drug target. Our study completes the chain of evidence from association to causation and supports the common disease-common variant hypothesis in the etiology of gout.
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PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Lawrence, R. C., Felson, D. T., Helmick, C. G., Arnold, L. M., Choi, H., Deyo, R. A., Gabriel, S., Hirsch, R., Hochberg, M. C., Hunder, G. G., et al. (2008) · Arthritis & Rheumatism · doi:10.1002/art.23176 · Cited by 5,499
(1989) · PubMed · Cited by 3,139
THE ATHEROSCLEROSIS RISK IN COMMUNIT (ARIC) STUDY: DESIGN AND OBJECTIVES
THE ARIC INVESTIGATORS (1989) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115184 · Cited by 2,924
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891
A multidrug resistance transporter from human MCF-7 breast cancer cells
Doyle, L. A., Yang, W., Abruzzo, L. V., Krogmann, T., Gao, Y., Rishi, A. K., & Ross, D. D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.26.15665 · Cited by 2,322
GenABEL: an R library for genome-wide association analysis
Aulchenko, Y. S., Ripke, S., Isaacs, A., & van Duijn, C. M. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm108 · Cited by 1,836
Molecular identification of a renal urate–anion exchanger that regulates blood urate levels
Enomoto, A., Kimura, H., Chairoungdua, A., Shigeta, Y., Jutabha, P., Ho Cha, S., Hosoyamada, M., Takeda, M., Sekine, T., Igarashi, T., et al. (2002) · Nature · doi:10.1038/nature742 · Cited by 1,535
Febuxostat Compared with Allopurinol in Patients with Hyperuricemia and Gout
Becker, M. A., Schumacher, H. R., Wortmann, R. L., MacDonald, P. A., Eustace, D., Palo, W. A., Streit, J., & Joseph-Ridge, N. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050373 · Cited by 1,357
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Study, L. C., Köttgen, A., CARDIoGRAM Consortium, DIAGRAM Consortium, ICBP Consortium, MAGIC Consortium, Albrecht, E., Teumer, A., Vitart, V., Krumsiek, J., et al. (2013) · Nature Genetics · doi:10.1038/ng.2500 · Cited by 836
Self-citationGenetics of 35 blood and urine biomarkers in the UK Biobank
Sinnott-Armstrong, N., Tanigawa, Y., Amar, D., Mars, N., Benner, C., Aguirre, M., Venkataraman, G. R., Wainberg, M., Ollila, H. M., Kiiskinen, T., et al. (2021) · Nature Genetics · doi:10.1038/s41588-020-00757-z · Cited by 744
Mechanisms of mammalian iron homeostasis
Pantopoulos, K., Porwal, S. K., Tartakoff, A., & Devireddy, L. (2012) · Biochemistry · doi:10.1021/bi300752r · Cited by 598
Burgess, S., Daniel, R. M., Butterworth, A. S., Thompson, S. G., & the EPIC-InterAct Consortium (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyu176 · Cited by 543
Matsuo, H., Takada, T., Ichida, K., Nakamura, T., Nakayama, A., Ikebuchi, Y., Ito, K., Kusanagi, Y., Chiba, T., Tadokoro, S., et al. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000237 · Cited by 437
Metadata
- Authors
- Woodward, O. M., Köttgen, A., Coresh, J., Boerwinkle, E., Guggino, W. B., & Köttgen, M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-06-23
- Volume
- 106
- Issue
- 25
- Pages
- 10338-10342
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2044444556
- Cited by
- 688
- References
- 30
- FWCI
- 25.97
- Type
- journal article
- Language
- en
- Open access
- green
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- Woodward, O. M., Köttgen, A., Coresh, J., Boerwinkle, E., Guggino, W. B., & Köttgen, M. (2009). Identification of a urate transporter, ABCG2, with a common functional polymorphism causing gout. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0901249106
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