Novel genetic susceptibility loci for diabetic end-stage renal disease identified through robust naive Bayes classification

[1]  P. Donnelly,et al.  A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies , 2009, PLoS genetics.

[2]  Stephen S. Rich,et al.  Genome-Wide Association Scan for Diabetic Nephropathy Susceptibility Genes in Type 1 Diabetes , 2009, Diabetes.

[3]  Scott M. Williams,et al.  challenges for genome-wide association studies , 2010 .

[4]  R. Levy,et al.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. , 1972, Clinical chemistry.

[5]  Claudio Cobelli,et al.  Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data , 2012, BMC Bioinformatics.

[6]  Anbupalam Thalamuthu,et al.  Association tests using kernel‐based measures of multi‐locus genotype similarity between individuals , 2009, Genetic epidemiology.

[7]  Anne E Sumner,et al.  A Better Index of Body Adiposity , 2011, Obesity.

[8]  T. Zhou,et al.  Implication of dysregulation of the canonical wingless-type MMTV integration site (WNT) pathway in diabetic nephropathy , 2011, Diabetologia.

[9]  M. Rieder,et al.  Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies. , 2012, American journal of human genetics.

[10]  L. Stevens,et al.  Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions. , 2010, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[11]  Merlin C. Thomas,et al.  Competing-risk analysis of ESRD and death among patients with type 1 diabetes and macroalbuminuria. , 2011, Journal of the American Society of Nephrology : JASN.

[12]  Claudio Cobelli,et al.  ABACUS: an entropy-based cumulative bivariate statistic robust to rare variants and different direction of genotype effect , 2014, Bioinform..

[13]  K. Kaski,et al.  Estimation of VLDL, IDL, LDL, HDL2, apoA-I, and apoB from the Friedewald inputs—apoB and IDL, but not LDL, are associated with mortality in type 1 diabetes , 2009, Annals of medicine.

[14]  Y. Terada,et al.  Expression and function of the developmental gene Wnt-4 during experimental acute renal failure in rats. , 2003, Journal of the American Society of Nephrology : JASN.

[15]  A. McMahon,et al.  Wnt-4 is a mesenchymal signal for epithelial transformation of metanephric mesenchyme in the developing kidney. , 1998, Development.

[16]  D. Craig,et al.  Genome‐wide SNP genotyping study using pooled DNA to identify candidate markers mediating susceptibility to end‐stage renal disease attributed to Type 1 diabetes , 2009, Diabetic medicine : a journal of the British Diabetic Association.

[17]  Paola Sebastiani,et al.  Genome-Wide Association Studies (GWAS) , 2019, Definitions.

[18]  Cesare Furlanello,et al.  Effect of Size and Heterogeneity of Samples on Biomarker Discovery: Synthetic and Real Data Assessment , 2012, PloS one.

[19]  Riccardo Bellazzi,et al.  Hierarchical Naive Bayes for genetic association studies , 2012, BMC Bioinformatics.

[20]  Pierre Baldi,et al.  Assessing the accuracy of prediction algorithms for classification: an overview , 2000, Bioinform..

[21]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[22]  Z. Ye,et al.  Semaphorin 6D regulates the late phase of CD4+ T cell primary immune responses , 2008, Proceedings of the National Academy of Sciences.

[23]  S. Kreiner,et al.  Diabetic nephropathy in type 1 (insulin-dependent) diabetes: An epidemiological study , 1983, Diabetologia.

[24]  Paola Sebastiani,et al.  Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia , 2005, Nature Genetics.

[25]  Merlin C. Thomas,et al.  The Presence and Severity of Chronic Kidney Disease Predicts All-Cause Mortality in Type 1 Diabetes , 2009, Diabetes.

[26]  Merlin C. Thomas,et al.  Metabolic syndrome in type 1 diabetes: association with diabetic nephropathy and glycemic control (the FinnDiane study). , 2005, Diabetes care.

[27]  Yun Li,et al.  METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..

[28]  Kenny Q. Ye,et al.  An integrated map of genetic variation from 1,092 human genomes , 2012, Nature.

[29]  V. Bansal,et al.  Statistical analysis strategies for association studies involving rare variants , 2010, Nature Reviews Genetics.

[30]  Jason H. Moore,et al.  BIOINFORMATICS REVIEW , 2005 .

[31]  E. Seaquist,et al.  Familial clustering of diabetic kidney disease. Evidence for genetic susceptibility to diabetic nephropathy. , 1989, The New England journal of medicine.

[32]  J. Tuomilehto,et al.  Population-based assessment of familial clustering of diabetic nephropathy in type 1 diabetes. , 2004, Diabetes.

[33]  H. Parving.  Initiation and progression of diabetic nephropathy. , 1996, The New England journal of medicine.

[34]  Yu-Ting Huang,et al.  Wnt/beta-catenin signaling modulates survival of high glucose-stressed mesangial cells. , 2006, Journal of the American Society of Nephrology : JASN.

[35]  H. Parving,et al.  Risk factors for development of incipient and overt diabetic nephropathy in type 1 diabetic patients: a 10-year prospective observational study. , 2002, Diabetes care.

[36]  A. McMahon,et al.  Epithelial transformation of metanephric mesenchyme in the developing kidney regulated by Wnt-4 , 1994, Nature.

[37]  K. Kaski,et al.  Metabolic Phenotypes, Vascular Complications, and Premature Deaths in a Population of 4,197 Patients With Type 1 Diabetes , 2008, Diabetes.

[38]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[39]  K. Surendran,et al.  A role for Wnt-4 in renal fibrosis. , 2002, American journal of physiology. Renal physiology.

[40]  Benjamin J. Keller,et al.  New Susceptibility Loci Associated with Kidney Disease in Type 1 Diabetes , 2012, PLoS genetics.

[41]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[42]  Greg Gibson,et al.  Rare and common variants: twenty arguments , 2012, Nature Reviews Genetics.

[43]  M. Farrall,et al.  European rational approach for the genetics of diabetic complications--EURAGEDIC: patient populations and strategy. , 2007, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.