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. 2010 May;42(5):373-5.
doi: 10.1038/ng.566. Epub 2010 Apr 11.

Genetic loci influencing kidney function and chronic kidney disease

John C Chambers  1 Weihua ZhangGraham M LordPim van der HarstDebbie A LawlorJoban S SehmiDaniel P GaleMark N WassKourosh R AhmadiStephan J L BakkerJacqui BeckmannHenk J G BiloMurielle BochudMorris J BrownMark J CaulfieldJohn M C ConnellH Terence CookIoana CotlarciucGeorge Davey SmithRanil de SilvaGuohong DengOlivier DevuystLambert D DikkescheiNada DimkovicMark DockrellAnna DominiczakShah EbrahimThomas EggermannMartin FarrallLuigi FerrucciJurgen FloegeNita G ForouhiRon T GansevoortXijin HanBo HedbladJaap J Homan van der HeideBouke G HepkemaMaria Hernandez-FuentesElina HypponenToby JohnsonPaul E de JongNanne KleefstraVasiliki LagouMarta LapsleyYun LiRuth J F LoosJian'an LuanKarin LuttroppCéline MaréchalOlle MelanderPatricia B MunroeLouise NordforsAfshin ParsaLeena PeltonenBrenda W PenninxEsperanza PeruchaAnneli PoutaInga ProkopenkoPaul J RoderickAimo RuokonenNilesh J SamaniSerena SannaMartin SchallingDavid SchlessingerGeorg SchlieperMarc A J SeelenAlan R ShuldinerMarketa SjögrenJohannes H SmitHarold SniederNicole SoranzoTimothy D SpectorPeter StenvinkelMichael J E SternbergRamasamyiyer SwaminathanToshiko TanakaLielith J Ubink-VeltmaatManuela UdaPeter VollenweiderChris WallaceDawn WaterworthKlaus ZerresGerard WaeberNicholas J WarehamPatrick H MaxwellMark I McCarthyMarjo-Riitta JarvelinVincent MooserGoncalo R AbecasisLiz LightstoneJames ScottGerjan NavisPaul ElliottJaspal S Kooner
Affiliations

Genetic loci influencing kidney function and chronic kidney disease

John C Chambers et al. Nat Genet. 2010 May.

Abstract

Using genome-wide association, we identify common variants at 2p12-p13, 6q26, 17q23 and 19q13 associated with serum creatinine, a marker of kidney function (P = 10(-10) to 10(-15)). Of these, rs10206899 (near NAT8, 2p12-p13) and rs4805834 (near SLC7A9, 19q13) were also associated with chronic kidney disease (P = 5.0 x 10(-5) and P = 3.6 x 10(-4), respectively). Our findings provide insight into metabolic, solute and drug-transport pathways underlying susceptibility to chronic kidney disease.

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Figures

Figure 1
Figure 1
Architecture of the loci associated with creatinine in the genome-wide association study. The most significant SNP in each region is plotted in blue. LD is based on the HapMap CEU sample and is colour-coded: red (r2 to top SNP 0.8–1.0), orange (0.5–0.8), yellow (0.2–0.5) and white (<0.2).

Comment in

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