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Page 1
A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.
van Zuydam NR, Ahlqvist E, Sandholm N, Deshmukh H, Rayner NW, Abdalla M, Ladenvall C, Ziemek D, Fauman E, Robertson NR, McKeigue PM, Valo E, Forsblom C, Harjutsalo V; Finnish Diabetic Nephropathy Study (FinnDiane); Perna A, Rurali E, Marcovecchio ML, Igo RP Jr, Salem RM, Perico N, Lajer M, Käräjämäki A, Imamura M, Kubo M, Takahashi A, Sim X, Liu J, van Dam RM, Jiang G, Tam CHT, Luk AOY, Lee HM, Lim CKP, Szeto CC, So WY, Chan JCN; Hong Kong Diabetes Registry Theme-based Research Scheme Project Group; Ang SF, Dorajoo R, Wang L, Clara TSH, McKnight AJ, Duffy S; Warren 3 and Genetics of Kidneys in Diabetes (GoKinD) Study Group; Pezzolesi MG; GENIE (GEnetics of Nephropathy an International Effort) Consortium; Marre M, Gyorgy B, Hadjadj S, Hiraki LT; Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Research Group; Ahluwalia TS, Almgren P, Schulz CA, Orho-Melander M, Linneberg A, Christensen C, Witte DR, Grarup N, Brandslund I, Melander O, Paterson AD, Tregouet D, Maxwell AP, Lim SC, Ma RCW, Tai ES, Maeda S, Lyssenko V, Tuomi T, Krolewski AS, Rich SS, Hirschhorn JN, Florez JC, Dunger D, Pedersen O, Hansen T, Rossing P, Remuzz… See abstract for full author list ➔ van Zuydam NR, et al. Diabetes. 2018 Jul;67(7):1414-1427. doi: 10.2337/db17-0914. Epub 2018 Apr 27. Diabetes. 2018. PMID: 29703844 Free PMC article.
Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases.
Perry JR, Voight BF, Yengo L, Amin N, Dupuis J, Ganser M, Grallert H, Navarro P, Li M, Qi L, Steinthorsdottir V, Scott RA, Almgren P, Arking DE, Aulchenko Y, Balkau B, Benediktsson R, Bergman RN, Boerwinkle E, Bonnycastle L, Burtt NP, Campbell H, Charpentier G, Collins FS, Gieger C, Green T, Hadjadj S, Hattersley AT, Herder C, Hofman A, Johnson AD, Kottgen A, Kraft P, Labrune Y, Langenberg C, Manning AK, Mohlke KL, Morris AP, Oostra B, Pankow J, Petersen AK, Pramstaller PP, Prokopenko I, Rathmann W, Rayner W, Roden M, Rudan I, Rybin D, Scott LJ, Sigurdsson G, Sladek R, Thorleifsson G, Thorsteinsdottir U, Tuomilehto J, Uitterlinden AG, Vivequin S, Weedon MN, Wright AF; MAGIC; DIAGRAM Consortium; GIANT Consortium; Hu FB, Illig T, Kao L, Meigs JB, Wilson JF, Stefansson K, van Duijn C, Altschuler D, Morris AD, Boehnke M, McCarthy MI, Froguel P, Palmer CN, Wareham NJ, Groop L, Frayling TM, Cauchi S. Perry JR, et al. Among authors: rayner w. PLoS Genet. 2012 May;8(5):e1002741. doi: 10.1371/journal.pgen.1002741. Epub 2012 May 31. PLoS Genet. 2012. PMID: 22693455 Free PMC article.
Rare variants in PPARG with decreased activity in adipocyte differentiation are associated with increased risk of type 2 diabetes.
Majithia AR, Flannick J, Shahinian P, Guo M, Bray MA, Fontanillas P, Gabriel SB; GoT2D Consortium; NHGRI JHS/FHS Allelic Spectrum Project; SIGMA T2D Consortium; T2D-GENES Consortium; Rosen ED, Altshuler D. Majithia AR, et al. Proc Natl Acad Sci U S A. 2014 Sep 9;111(36):13127-32. doi: 10.1073/pnas.1410428111. Epub 2014 Aug 25. Proc Natl Acad Sci U S A. 2014. PMID: 25157153 Free PMC article.
Gimpute: an efficient genetic data imputation pipeline.
Chen J, Lippold D, Frank J, Rayner W, Meyer-Lindenberg A, Schwarz E. Chen J, et al. Among authors: rayner w. Bioinformatics. 2019 Apr 15;35(8):1433-1435. doi: 10.1093/bioinformatics/bty814. Bioinformatics. 2019. PMID: 30239591
Identification of potential stroke targets by lentiviral vector mediated overexpression of HIF-1 alpha and HIF-2 alpha in a primary neuronal model of hypoxia.
Ralph GS, Parham S, Lee SR, Beard GL, Craigon MH, Ward N, White JR, Barber RD, Rayner W, Kingsman SM, Mundy CR, Mazarakis ND, Krige D. Ralph GS, et al. Among authors: rayner w. J Cereb Blood Flow Metab. 2004 Feb;24(2):245-58. doi: 10.1097/01.WCB.0000110532.48786.46. J Cereb Blood Flow Metab. 2004. PMID: 14747751
eQTL Catalogue 2023: New datasets, X chromosome QTLs, and improved detection and visualisation of transcript-level QTLs.
Kerimov N, Tambets R, Hayhurst JD, Rahu I, Kolberg P, Raudvere U, Kuzmin I, Chowdhary A, Vija A, Teras HJ, Kanai M, Ulirsch J, Ryten M, Hardy J, Guelfi S, Trabzuni D, Kim-Hellmuth S, Rayner W, Finucane H, Peterson H, Mosaku A, Parkinson H, Alasoo K. Kerimov N, et al. Among authors: rayner w. PLoS Genet. 2023 Sep 18;19(9):e1010932. doi: 10.1371/journal.pgen.1010932. eCollection 2023 Sep. PLoS Genet. 2023. PMID: 37721944 Free PMC article.
Systematic visualisation of molecular QTLs reveals variant mechanisms at GWAS loci.
Kerimov N, Tambets R, Hayhurst JD, Rahu I, Kolberg P, Raudvere U, Kuzmin I, Chowdhary A, Vija A, Teras HJ, Kanai M, Ulirsch J, Ryten M, Hardy J, Guelfi S, Trabzuni D, Kim-Hellmuth S, Rayner W, Finucane H, Peterson H, Mosaku A, Parkinson H, Alasoo K. Kerimov N, et al. Among authors: rayner w. bioRxiv [Preprint]. 2023 Apr 7:2023.04.06.535816. doi: 10.1101/2023.04.06.535816. bioRxiv. 2023. Update in: PLoS Genet. 2023 Sep 18;19(9):e1010932. doi: 10.1371/journal.pgen.1010932. PMID: 37066341 Free PMC article. Updated. Preprint.
16 results