Clinical and genetic determinants of progression of type 2 diabetes: A direct study

Diabetes Care

Volumn 37, Issue 3, 2014, Pages 718-724

  Zhou, Kaixin ^a   Donnelly, Louise A ^a   Morris, Andrew D ^a   Franks, Paul W ^b,c,d   Jennison, Chris ^e   Palmer, Colin N A ^a   Pearson, Ewan R ^a  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

^b LUND UNIVERSITY   (Sweden)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d UMEÅ UNIVERSITY   (Sweden)

^e University of Bath   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALANINE AMINOTRANSFERASE; GLYCOSYLATED HEMOGLOBIN; HIGH DENSITY LIPOPROTEIN; INSULIN; LOW DENSITY LIPOPROTEIN; TRIACYLGLYCEROL; ANTIDIABETIC AGENT; LOW DENSITY LIPOPROTEIN CHOLESTEROL;

ADULT; AGE; ARTICLE; BLOOD LEVEL; BODY MASS; CONTROLLED STUDY; DISEASE ASSOCIATION; DISEASE COURSE; DISEASE PREDISPOSITION; FEMALE; FOLLOW UP; GENETIC ASSOCIATION; GENETIC VARIABILITY; HEREDITY; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; OUTCOME ASSESSMENT; PHENOTYPE; PREDICTION; RISK ASSESSMENT; RISK FACTOR; SCORING SYSTEM; SENSITIVITY ANALYSIS; DIABETES MELLITUS, TYPE 2; GENETICS; METABOLISM; SINGLE NUCLEOTIDE POLYMORPHISM; UNITED KINGDOM;

BODY MASS INDEX; CHOLESTEROL, LDL; DIABETES MELLITUS, TYPE 2; DISEASE PROGRESSION; FEMALE; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; MALE; MIDDLE AGED; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; RISK FACTORS; SCOTLAND; TRIGLYCERIDES;

EID: 84896728658     PISSN: 01495992     EISSN: 19355548     Source Type: Journal    
DOI: 10.2337/dc13-1995     Document Type: Article

References (23)

1. Weyer C, Bogardus C, Mott DM, Pratley RE. The natural history of insulin secretory dysfunction and insulin resistance in the pathogenesis of type 2 diabetes mellitus. J Clin Invest 1999;104:787-794
2. U.K. prospective diabetes study 16. Overview of 6 years' therapy of type II diabetes: a progressive disease. U.K. Prospective Diabetes Study Group. Diabetes 1995;44:1249-1258
3. Levy J, Atkinson AB, Bell PM, McCance DR, Hadden DR. Beta-cell deterioration determines the onset and rate of progression of secondary dietary failure in type 2 diabetes mellitus: the 10-year follow-up of the Belfast Diet Study. Diabet Med 1998;15:290-296
4. Noble D, Mathur R, Dent T, Meads C, Greenhalgh T. Risk models and scores for type 2 diabetes: systematic review. BMJ 2011;343:d7163
5. Freeman DJ, Norrie J, Caslake MJ, et al.; West of Scotland Coronary Prevention Study. C-reactive protein is an independent predictor of risk for the development of diabetes in the West of Scotland Coronary Prevention Study. Diabetes 2002;51:1596-1600
6. Herder C, Haastert B, Muller-Scholze S, et al. Association of systemic chemokine concentrations with impaired glucose tolerance and type 2 diabetes: results from the Cooperative Health Research in the Region of Augsburg Survey S4 (KORA S4). Diabetes 2005;54(Suppl. 2):S11-S17
7. Morris AP, Voight BF, Teslovich TM, et al.; Wellcome Trust Case Control Consortium; Meta-Analyses of Glucose and Insulinrelated traits Consortium (MAGIC) Investigators; Genetic Investigation of ANthropometric Traits (GIANT) Consortium; Asian Genetic Epidemiology Network-Type 2 Diabetes (AGEN-T2D) Consortium; South Asian Type 2 Diabetes (SAT2D) Consortium; DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat Genet 2012;44:981-990
8. Meigs JB, Shrader P, Sullivan LM, et al. Genotype score in addition to common risk factors for prediction of type 2 diabetes. N Engl J Med 2008;359:2208-2219
9. Lyssenko V, Jonsson A, Almgren P, et al. Clinical risk factors, DNA variants, and the development of type 2 diabetes. N Engl J Med 2008;359:2220-2232
10. Bagust A, Beale S. Deteriorating beta-cell function in type 2 diabetes: a long-term model. QJM 2003;96:281-288
11. Turner R, Stratton I, Horton V, et al.; UK Prospective Diabetes Study Group. UKPDS 25: autoantibodies to islet-cell cytoplasm and glutamic acid decarboxylase for prediction of insulin requirement in type 2 diabetes. Lancet 1997;350:1288-1293
12. Matthews DR, Cull CA, Stratton IM, Holman RR, Turner RC; UK Prospective Diabetes Study (UKPDS) Group. UKPDS 26: Sulphonylurea failure in non-insulindependent diabetic patients over six years. Diabet Med 1998;15:297-303
13. Donnan PT, MacDonald TM, Morris AD. Adherence to prescribed oral hypoglycaemic medication in a population of patients with Type 2 diabetes: a retrospective cohort study. Diabet Med 2002;19:279-284
14. Ringborg A, Lindgren P, Yin DD,Martinell M, Stalhammar J. Time to insulin treatment and factors associated with insulin prescription in Swedish patients with type 2 diabetes. Diabetes Metab 2010;36:198-203
15. Cook MN, Girman CJ, Stein PP, Alexander CM, Holman RR. Glycemic control continues to deteriorate after sulfonylureas are added to metformin among patients with type 2 diabetes. Diabetes Care 2005; 28:995-1000
16. Doney AS, Lee S, Leese GP, Morris AD, Palmer CN. Increased cardiovascular morbidity and mortality in type 2 diabetes is associated with the glutathione S transferase theta-null genotype: a Go-DARTS study. Circulation 2005;111: 2927-2934
17. Doney AS, Fischer B, Leese G, Morris AD, Palmer CN. Cardiovascular risk in type 2 diabetes is associated with variation at the PPARG locus: a Go-DARTS study. Arterioscler Thromb Vasc Biol 2004;24: 2403-2407
18. Brown JB, Nichols GA. Slow response to loss of glycemic control in type 2 diabetes mellitus. Am J Manag Care 2003;9:213-217
19. Cornelis MC, Qi L, Zhang C, et al. Joint effects of common genetic variants on the risk for type 2 diabetes in U.S. men and women of European ancestry. Ann Intern Med 2009;150:541-550
20. Scott RA, Lagou V, Welch RP, et al.; DIAbetes Genetics Replication and Metaanalysis (DIAGRAM) Consortium. Largescale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nat Genet 2012;44:991-1005
21. Robertson RP. Beta-cell deterioration during diabetes: what's in the gun? Trends Endocrinol Metab 2009;20:388-393
22. Iwata M, Maeda S, Kamura Y, et al. Genetic risk score constructed using 14 susceptibility alleles for type 2 diabetes is associated with the early onset of diabetes and may predict the future requirement of insulin injections among Japanese individuals. Diabetes Care 2012;35:1763-1770
23. Kimber CH, Doney AS, Pearson ER, et al. TCF7L2 in the Go-DARTS study: evidence for a gene dose effect on both diabetes susceptibility and control of glucose levels. Diabetologia 2007;50:1186-1191