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Items: 1 to 20 of 238

1.

Epigenome-wide association studies identify DNA methylation associated with kidney function.

Chu AY, Tin A, Schlosser P, Ko YA, Qiu C, Yao C, Joehanes R, Grams ME, Liang L, Gluck CA, Liu C, Coresh J, Hwang SJ, Levy D, Boerwinkle E, Pankow JS, Yang Q, Fornage M, Fox CS, Susztak K, Köttgen A.

Nat Commun. 2017 Nov 3;8(1):1286. doi: 10.1038/s41467-017-01297-7.

2.

PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies.

Hall MA, Wallace J, Lucas A, Kim D, Basile AO, Verma SS, McCarty CA, Brilliant MH, Peissig PL, Kitchner TE, Verma A, Pendergrass SA, Dudek SM, Moore JH, Ritchie MD.

Nat Commun. 2017 Oct 27;8(1):1167. doi: 10.1038/s41467-017-00802-2.

3.

Associations between genetic risk variants for kidney diseases and kidney disease etiology.

Wunnenburger S, Schultheiss UT, Walz G, Hausknecht B, Ekici AB, Kronenberg F, Eckardt KU, Köttgen A, Wuttke M.

Sci Rep. 2017 Oct 24;7(1):13944. doi: 10.1038/s41598-017-13356-6.

4.

Identification of polymorphisms in cancer patients that differentially affect survival with age.

Doherty A, Kernogitski Y, Kulminski AM, Pedro de Magalhães J.

Aging (Albany NY). 2017 Oct 20;9(10):2117-2136. doi: 10.18632/aging.101305.

5.

Association between kidney function and genetic polymorphisms in atherosclerotic and chronic kidney diseases: A cross-sectional study in Japanese male workers.

Kubo Y, Imaizumi T, Ando M, Nakatochi M, Yasuda Y, Honda H, Kuwatsuka Y, Kato S, Kikuchi K, Kondo T, Iwata M, Nakashima T, Yasui H, Takamatsu H, Okajima H, Yoshida Y, Maruyama S.

PLoS One. 2017 Oct 10;12(10):e0185476. doi: 10.1371/journal.pone.0185476. eCollection 2017.

6.

Haploinsufficiency of the Transcription Factor Ets-1 Is Renoprotective in Dahl Salt-Sensitive Rats.

Feng W, Chen B, Xing D, Li X, Fatima H, Jaimes EA, Sanders PW.

J Am Soc Nephrol. 2017 Nov;28(11):3239-3250. doi: 10.1681/ASN.2017010085. Epub 2017 Jul 10.

PMID:
28696249
7.

A genetic stochastic process model for genome-wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data.

He L, Zhbannikov I, Arbeev KG, Yashin AI, Kulminski AM.

Genet Epidemiol. 2017 Nov;41(7):620-635. doi: 10.1002/gepi.22058. Epub 2017 Jun 21.

PMID:
28636232
8.

Genetics of vesicoureteral reflux and congenital anomalies of the kidney and urinary tract.

Lee KH, Gee HY, Shin JI.

Investig Clin Urol. 2017 Jun;58(Suppl 1):S4-S13. doi: 10.4111/icu.2017.58.S1.S4. Epub 2017 Jun 7. Review.

9.

Urinary Tamm-Horsfall protein, albumin, vitamin D-binding protein, and retinol-binding protein as early biomarkers of chronic kidney disease in dogs.

Chacar F, Kogika M, Sanches TR, Caragelasco D, Martorelli C, Rodrigues C, Capcha JMC, Chew D, Andrade L.

Physiol Rep. 2017 Jun;5(11). pii: e13262. doi: 10.14814/phy2.13262.

10.

Genetic-Variation-Driven Gene-Expression Changes Highlight Genes with Important Functions for Kidney Disease.

Ko YA, Yi H, Qiu C, Huang S, Park J, Ledo N, Köttgen A, Li H, Rader DJ, Pack MA, Brown CD, Susztak K.

Am J Hum Genet. 2017 Jun 1;100(6):940-953. doi: 10.1016/j.ajhg.2017.05.004.

11.

1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.

Gorski M, van der Most PJ, Teumer A, Chu AY, Li M, Mijatovic V, Nolte IM, Cocca M, Taliun D, Gomez F, Li Y, Tayo B, Tin A, Feitosa MF, Aspelund T, Attia J, Biffar R, Bochud M, Boerwinkle E, Borecki I, Bottinger EP, Chen MH, Chouraki V, Ciullo M, Coresh J, Cornelis MC, Curhan GC, d'Adamo AP, Dehghan A, Dengler L, Ding J, Eiriksdottir G, Endlich K, Enroth S, Esko T, Franco OH, Gasparini P, Gieger C, Girotto G, Gottesman O, Gudnason V, Gyllensten U, Hancock SJ, Harris TB, Helmer C, Höllerer S, Hofer E, Hofman A, Holliday EG, Homuth G, Hu FB, Huth C, Hutri-Kähönen N, Hwang SJ, Imboden M, Johansson Å, Kähönen M, König W, Kramer H, Krämer BK, Kumar A, Kutalik Z, Lambert JC, Launer LJ, Lehtimäki T, de Borst M, Navis G, Swertz M, Liu Y, Lohman K, Loos RJF, Lu Y, Lyytikäinen LP, McEvoy MA, Meisinger C, Meitinger T, Metspalu A, Metzger M, Mihailov E, Mitchell P, Nauck M, Oldehinkel AJ, Olden M, Wjh Penninx B, Pistis G, Pramstaller PP, Probst-Hensch N, Raitakari OT, Rettig R, Ridker PM, Rivadeneira F, Robino A, Rosas SE, Ruderfer D, Ruggiero D, Saba Y, Sala C, Schmidt H, Schmidt R, Scott RJ, Sedaghat S, Smith AV, Sorice R, Stengel B, Stracke S, Strauch K, Toniolo D, Uitterlinden AG, Ulivi S, Viikari JS, Völker U, Vollenweider P, Völzke H, Vuckovic D, Waldenberger M, Jin Wang J, Yang Q, Chasman DI, Tromp G, Snieder H, Heid IM, Fox CS, Köttgen A, Pattaro C, Böger CA, Fuchsberger C.

Sci Rep. 2017 Apr 28;7:45040. doi: 10.1038/srep45040. Erratum in: Sci Rep. 2017 May 26;7:46835. de Borst, Martin H [corrected to de Borst, Martin].

12.

Identification of C21orf59 and ATG2A as novel determinants of renal function-related traits in Japanese by exome-wide association studies.

Yamada Y, Sakuma J, Takeuchi I, Yasukochi Y, Kato K, Oguri M, Fujimaki T, Horibe H, Muramatsu M, Sawabe M, Fujiwara Y, Taniguchi Y, Obuchi S, Kawai H, Shinkai S, Mori S, Arai T, Tanaka M.

Oncotarget. 2017 Jul 11;8(28):45259-45273. doi: 10.18632/oncotarget.16696.

13.

Association Study of Reported Significant Loci at 5q35.3, 7p14.3, 13q14.1 and 16p12.3 with Urolithiasis in Chinese Han Ethnicity.

Wang L, Feng C, Ding G, Lin X, Gao P, Jiang H, Xu J, Ding Q, Wu Z.

Sci Rep. 2017 Mar 31;7:45766. doi: 10.1038/srep45766.

14.

Genetic pleiotropy between age-related macular degeneration and 16 complex diseases and traits.

Grassmann F, Kiel C, Zimmermann ME, Gorski M, Grassmann V, Stark K; International AMD Genomics Consortium (IAMDGC), Heid IM, Weber BH.

Genome Med. 2017 Mar 27;9(1):29. doi: 10.1186/s13073-017-0418-0.

15.

Sav1 Loss Induces Senescence and Stat3 Activation Coinciding with Tubulointerstitial Fibrosis.

Leung JY, Wilson HL, Voltzke KJ, Williams LA, Lee HJ, Wobker SE, Kim WY.

Mol Cell Biol. 2017 May 31;37(12). pii: e00565-16. doi: 10.1128/MCB.00565-16. Print 2017 Jun 15.

16.

Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study.

Telomeres Mendelian Randomization Collaboration, Haycock PC, Burgess S, Nounu A, Zheng J, Okoli GN, Bowden J, Wade KH, Timpson NJ, Evans DM, Willeit P, Aviv A, Gaunt TR, Hemani G, Mangino M, Ellis HP, Kurian KM, Pooley KA, Eeles RA, Lee JE, Fang S, Chen WV, Law MH, Bowdler LM, Iles MM, Yang Q, Worrall BB, Markus HS, Hung RJ, Amos CI, Spurdle AB, Thompson DJ, O'Mara TA, Wolpin B, Amundadottir L, Stolzenberg-Solomon R, Trichopoulou A, Onland-Moret NC, Lund E, Duell EJ, Canzian F, Severi G, Overvad K, Gunter MJ, Tumino R, Svenson U, van Rij A, Baas AF, Bown MJ, Samani NJ, van t'Hof FNG, Tromp G, Jones GT, Kuivaniemi H, Elmore JR, Johansson M, Mckay J, Scelo G, Carreras-Torres R, Gaborieau V, Brennan P, Bracci PM, Neale RE, Olson SH, Gallinger S, Li D, Petersen GM, Risch HA, Klein AP, Han J, Abnet CC, Freedman ND, Taylor PR, Maris JM, Aben KK, Kiemeney LA, Vermeulen SH, Wiencke JK, Walsh KM, Wrensch M, Rice T, Turnbull C, Litchfield K, Paternoster L, Standl M, Abecasis GR, SanGiovanni JP, Li Y, Mijatovic V, Sapkota Y, Low SK, Zondervan KT, Montgomery GW, Nyholt DR, van Heel DA, Hunt K, Arking DE, Ashar FN, Sotoodehnia N, Woo D, Rosand J, Comeau ME, Brown WM, Silverman EK, Hokanson JE, Cho MH, Hui J, Ferreira MA, Thompson PJ, Morrison AC, Felix JF, Smith NL, Christiano AM, Petukhova L, Betz RC, Fan X, Zhang X, Zhu C, Langefeld CD, Thompson SD, Wang F, Lin X, Schwartz DA, Fingerlin T, Rotter JI, Cotch MF, Jensen RA, Munz M, Dommisch H, Schaefer AS, Han F, Ollila HM, Hillary RP, Albagha O, Ralston SH, Zeng C, Zheng W, Shu XO, Reis A, Uebe S, Hüffmeier U, Kawamura Y, Otowa T, Sasaki T, Hibberd ML, Davila S, Xie G, Siminovitch K, Bei JX, Zeng YX, Försti A, Chen B, Landi S, Franke A, Fischer A, Ellinghaus D, Flores C, Noth I, Ma SF, Foo JN, Liu J, Kim JW, Cox DG, Delattre O, Mirabeau O, Skibola CF, Tang CS, Garcia-Barcelo M, Chang KP, Su WH, Chang YS, Martin NG, Gordon S, Wade TD, Lee C, Kubo M, Cha PC, Nakamura Y, Levy D, Kimura M, Hwang SJ, Hunt S, Spector T, Soranzo N, Manichaikul AW, Barr RG, Kahali B, Speliotes E, Yerges-Armstrong LM, Cheng CY, Jonas JB, Wong TY, Fogh I, Lin K, Powell JF, Rice K, Relton CL, Martin RM, Davey Smith G.

JAMA Oncol. 2017 May 1;3(5):636-651. doi: 10.1001/jamaoncol.2016.5945.

17.

Ecto-5' -Nucleotidase CD73 (NT5E), vitamin D receptor and FGF23 gene polymorphisms may play a role in the development of calcific uremic arteriolopathy in dialysis patients - Data from the German Calciphylaxis Registry.

Rothe H, Brandenburg V, Haun M, Kollerits B, Kronenberg F, Ketteler M, Wanner C.

PLoS One. 2017 Feb 17;12(2):e0172407. doi: 10.1371/journal.pone.0172407. eCollection 2017.

18.

Genome-Wide Association of Copy Number Polymorphisms and Kidney Function.

Li M, Carey J, Cristiano S, Susztak K, Coresh J, Boerwinkle E, Kao WH, Beaty TH, Köttgen A, Scharpf RB.

PLoS One. 2017 Jan 30;12(1):e0170815. doi: 10.1371/journal.pone.0170815. eCollection 2017.

19.

Chronic kidney disease in children and the role of epigenetics: Future therapeutic trajectories.

Uwaezuoke SN, Okafor HU, Muoneke VN, Odetunde OI, Odimegwu CL.

Biomed Rep. 2016 Dec;5(6):660-664. doi: 10.3892/br.2016.781. Epub 2016 Oct 18.

20.

Genetic risk score and risk of stage 3 chronic kidney disease.

Ma J, Yang Q, Hwang SJ, Fox CS, Chu AY.

BMC Nephrol. 2017 Jan 19;18(1):32. doi: 10.1186/s12882-017-0439-3.

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