Predicting Type 2 Diabetes Based on Polymorphisms From Genome-Wide Association Studies
暂无分享,去创建一个
A. Cecile J.W. Janssens | Albert Hofman | Cornelia M. van Duijn | André G. Uitterlinden | Ben A. Oostra | Abbas Dehghan | A. Hofman | A. Uitterlinden | A. Dehghan | J. Witteman | A. Janssens | C. V. van Duijn | B. Oostra | E. Sijbrands | M. van Hoek | Mandy van Hoek | Jacqueline C.M. Witteman | Eric J.G. Sijbrands | A. Uitterlinden | A. Hofman | B. Oostra | C. V. van Duijn
[1] Michael Stumvoll,et al. Type 2 diabetes: principles of pathogenesis and therapy , 2005, The Lancet.
[2] M. McCarthy,et al. Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes , 2007, Science.
[3] Muin J Khoury,et al. Improving the prediction of complex diseases by testing for multiple disease-susceptibility genes. , 2003, American journal of human genetics.
[4] Peter M Visscher,et al. Prediction of individual genetic risk to disease from genome-wide association studies. , 2007, Genome research.
[5] C. Dina,et al. Impact of Common Type 2 Diabetes Risk Polymorphisms in the DESIR Prospective Study , 2008, Diabetes.
[6] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[7] M. Permutt,et al. Post Genome-Wide Association Studies of Novel Genes Associated with Type 2 Diabetes Show Gene-Gene Interaction and High Predictive Value , 2008, PloS one.
[8] J. Hanley,et al. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.
[9] Mark Walker,et al. Combining Information from Common Type 2 Diabetes Risk Polymorphisms Improves Disease Prediction , 2006, PLoS medicine.
[10] Ewout W Steyerberg,et al. The impact of genotype frequencies on the clinical validity of genomic profiling for predicting common chronic diseases , 2007, Genetics in Medicine.
[11] G. Abecasis,et al. A Genome-Wide Association Study of Type 2 Diabetes in Finns Detects Multiple Susceptibility Variants , 2007, Science.
[12] Simon C. Potter,et al. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.
[13] P. Raskin,et al. Report of the expert committee on the diagnosis and classification of diabetes mellitus. , 1999, Diabetes care.
[14] Monique M. B. Breteler,et al. The Rotterdam Study: 2016 objectives and design update , 2015, European Journal of Epidemiology.
[15] M. McCarthy,et al. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes , 2008, Nature Genetics.
[16] Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus , 1997, Diabetes Care.
[17] P. Zimmet,et al. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of a WHO Consultation , 1998, Diabetic medicine : a journal of the British Diabetic Association.
[18] M. McCarthy,et al. Common variants in WFS1 confer risk of type 2 diabetes , 2007, Nature Genetics.
[19] L. Groop,et al. Genetic Prediction of Future Type 2 Diabetes , 2005, PLoS medicine.
[20] G. Block,et al. Will genetics revolutionize medicine? , 2000, The New England journal of medicine.
[21] Muin J Khoury,et al. Predictive genetic testing for type 2 diabetes , 2006, BMJ : British Medical Journal.
[22] T. Frayling,et al. A new era in finding Type 2 diabetes genes—the unusual suspects , 2007, Diabetic medicine : a journal of the British Diabetic Association.
[23] A. Hofman,et al. Promoter and 3'-untranslated-region haplotypes in the vitamin d receptor gene predispose to osteoporotic fracture: the rotterdam study. , 2005, American journal of human genetics.
[24] T. Hudson,et al. A genome-wide association study identifies novel risk loci for type 2 diabetes , 2007, Nature.
[25] N. Holtzman,et al. Will genetics revolutionize medicine? , 2000, The New England journal of medicine.
[26] D. Gudbjartsson,et al. Two variants on chromosome 17 confer prostate cancer risk, and the one in TCF2 protects against type 2 diabetes , 2007, Nature Genetics.
[27] Marcia M. Nizzari,et al. Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels , 2007, Science.
[28] Ewout W Steyerberg,et al. Predictive testing for complex diseases using multiple genes: Fact or fiction? , 2006, Genetics in Medicine.
[29] A. Hofman,et al. Apolipoprotein E gene is related to mortality only in normal weight individuals: The Rotterdam study , 2007, European Journal of Epidemiology.
[30] A. Hofman,et al. The Rotterdam Study: objectives and design update , 2007, European Journal of Epidemiology.
[31] M. Khoury,et al. Does Genetic Testing Really Improve the Prediction of Future Type 2 Diabetes? , 2006, PLoS medicine.