Literature DB >> 19033589

Interaction between poor glycemic control and 9p21 locus on risk of coronary artery disease in type 2 diabetes.

Alessandro Doria1, Joanna Wojcik, Rui Xu, Ernest V Gervino, Thomas H Hauser, Michael T Johnstone, David Nolan, Frank B Hu, James H Warram.   

Abstract

CONTEXT: A common allele on chromosome 9p21 has been repeatedly associated with increased risk of coronary artery disease (CAD) in the general population. However, the magnitude of this effect in the population with diabetes has not been well characterized.
OBJECTIVE: To examine the association of the 9p21 variant with CAD in individuals with type 2 diabetes and evaluate its interaction with poor glycemic control. DESIGN, SETTING, AND PARTICIPANTS: (1) Case-control study of 734 type 2 diabetes patients (322 with angiographically diagnosed CAD and 412 with no evidence of CAD) who were recruited between 2001 and 2006 at the Joslin Clinic, Beth Israel Deaconess Medical Center; and (2) independent cohort study of 475 type 2 diabetes patients from the Joslin Clinic whose survival status was monitored from their recruitment between 1993 and 1996 until December 31, 2004. Participants for both studies were genotyped for a representative single-nucleotide polymorphism at 9p21 (rs2383206) and characterized for their long-term glycemic control by averaging multiple hemoglobin A(1c) (HbA(1c)) measurements taken in the years before study entry. MAIN OUTCOME MEASURES: For the case-control study, association between single-nucleotide polymorphism rs2383206 and CAD defined as angiographically documented stenosis greater than 50% in a major coronary artery or a main branch thereof was assessed and for the cohort study, cumulative 10-year mortality was documented.
RESULTS: Individuals who were homozygous for the risk allele were significantly more frequent among case than control participants (42.3% vs 28.9P = .0002). This association was unaffected by adjustment for cardiovascular risk factors, but the effect of the risk genotype was significantly magnified (adjusted P for interaction = .048) in the presence of poor glycemic control (worst tertile of the distribution of HbA(1c) at examination). Relative to the CAD risk for patients with neither a 9p21 risk allele nor poor glycemic control, the CAD odds for participants having 2 risk alleles but not poor glycemic control were increased 2-fold (odds ratio [OR], 1.99; 95% confidence interval [CI], 1.17-3.41), whereas the odds for study participants with the same genotype and with poor glycemic control were increased 4-fold (OR, 4.27; 95% CI, 2.26-8.01). The interaction was stronger (adjusted P = .005) when a measure of long-term glycemic control (7-year average rather than most recent HbA(1c)) was used with ORs of 7.83 (95% CI, 3.49-17.6) for participants having 2 risk alleles and a history of poor glycemia and 1.54 (95% CI, 0.72-3.30) for participants with the same genotype but without this exposure. A similar interaction between 9p21 variant and poor glycemic control was observed with respect to cumulative 10-year mortality in the cohort study (43.6% in patients with 2 risk alleles and poor glycemic control, 23.1% in individuals with only the 2 risk alleles, 30.0% in individuals with only poor glycemic control, and 31.6% in individuals with neither factor, P for interaction, = .036).
CONCLUSION: In this study population, the CAD risk associated with the 9p21 variant was increased in the presence of poor glycemic control in type 2 diabetes.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19033589      PMCID: PMC2762126          DOI: 10.1001/jama.2008.649

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  40 in total

1.  ACC/AHA 2002 guideline update for exercise testing: summary article. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the 1997 Exercise Testing Guidelines).

Authors:  Raymond J Gibbons; Gary J Balady; J Timothy Bricker; Bernard R Chaitman; Gerald F Fletcher; Victor F Froelicher; Daniel B Mark; Ben D McCallister; Aryan N Mooss; Michael G O'Reilly; William L Winters; Raymond J Gibbons; Elliott M Antman; Joseph S Alpert; David P Faxon; Valentin Fuster; Gabriel Gregoratos; Loren F Hiratzka; Alice K Jacobs; Richard O Russell; Sidney C Smith
Journal:  J Am Coll Cardiol       Date:  2002-10-16       Impact factor: 24.094

2.  Tag polymorphisms at the A20 (TNFAIP3) locus are associated with lower gene expression and increased risk of coronary artery disease in type 2 diabetes.

Authors:  Watip Boonyasrisawat; Delphine Eberle; Simonetta Bacci; Yuan-Yuan Zhang; David Nolan; Ernest V Gervino; Michael T Johnstone; Vincenzo Trischitta; Steven E Shoelson; Alessandro Doria
Journal:  Diabetes       Date:  2007-02       Impact factor: 9.461

3.  The K121Q polymorphism of the ENPP1/PC-1 gene is associated with insulin resistance/atherogenic phenotypes, including earlier onset of type 2 diabetes and myocardial infarction.

Authors:  Simonetta Bacci; Ornella Ludovico; Sabrina Prudente; Yuan-Yuan Zhang; Rosa Di Paola; Davide Mangiacotti; Anna Rauseo; David Nolan; Jill Duffy; Grazia Fini; Lucia Salvemini; Cesare Amico; Carlo Vigna; Fabio Pellegrini; Claudia Menzaghi; Alessandro Doria; Vincenzo Trischitta
Journal:  Diabetes       Date:  2005-10       Impact factor: 9.461

4.  Common haplotypes at the adiponectin receptor 1 (ADIPOR1) locus are associated with increased risk of coronary artery disease in type 2 diabetes.

Authors:  Teresa Soccio; Yuan-Yuan Zhang; Simonetta Bacci; Wojciech Mlynarski; Grzegorz Placha; Greer Raggio; Rosa Di Paola; Antonella Marucci; Michael T Johnstone; Ernest V Gervino; Nada A Abumrad; Samuel Klein; Vincenzo Trischitta; Alessandro Doria
Journal:  Diabetes       Date:  2006-10       Impact factor: 9.461

5.  The +276 polymorphism of the APM1 gene, plasma adiponectin concentration, and cardiovascular risk in diabetic men.

Authors:  Lu Qi; Tricia Li; Eric Rimm; Cuilin Zhang; Nader Rifai; David Hunter; Alessandro Doria; Frank B Hu
Journal:  Diabetes       Date:  2005-05       Impact factor: 9.461

Review 6.  Diabetes and atherosclerosis: epidemiology, pathophysiology, and management.

Authors:  Joshua A Beckman; Mark A Creager; Peter Libby
Journal:  JAMA       Date:  2002-05-15       Impact factor: 56.272

Review 7.  Epidemiology of non-insulin-dependent diabetes mellitus and its macrovascular complications. A basis for the development of cost-effective programs.

Authors:  J H Warram; J Kopczynski; H U Janka; A S Krolewski
Journal:  Endocrinol Metab Clin North Am       Date:  1997-03       Impact factor: 4.741

8.  Heritability of carotid artery intima-medial thickness in type 2 diabetes.

Authors:  Leslie A Lange; Donald W Bowden; Carl D Langefeld; Lynne E Wagenknecht; J Jeffrey Carr; Stephen S Rich; Ward A Riley; Barry I Freedman
Journal:  Stroke       Date:  2002-07       Impact factor: 7.914

9.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

Authors:  Richa Saxena; Benjamin F Voight; Valeriya Lyssenko; Noël P Burtt; Paul I W de Bakker; Hong Chen; Jeffrey J Roix; Sekar Kathiresan; Joel N Hirschhorn; Mark J Daly; Thomas E Hughes; Leif Groop; David Altshuler; Peter Almgren; Jose C Florez; Joanne Meyer; Kristin Ardlie; Kristina Bengtsson Boström; Bo Isomaa; Guillaume Lettre; Ulf Lindblad; Helen N Lyon; Olle Melander; Christopher Newton-Cheh; Peter Nilsson; Marju Orho-Melander; Lennart Råstam; Elizabeth K Speliotes; Marja-Riitta Taskinen; Tiinamaija Tuomi; Candace Guiducci; Anna Berglund; Joyce Carlson; Lauren Gianniny; Rachel Hackett; Liselotte Hall; Johan Holmkvist; Esa Laurila; Marketa Sjögren; Maria Sterner; Aarti Surti; Margareta Svensson; Malin Svensson; Ryan Tewhey; Brendan Blumenstiel; Melissa Parkin; Matthew Defelice; Rachel Barry; Wendy Brodeur; Jody Camarata; Nancy Chia; Mary Fava; John Gibbons; Bob Handsaker; Claire Healy; Kieu Nguyen; Casey Gates; Carrie Sougnez; Diane Gage; Marcia Nizzari; Stacey B Gabriel; Gung-Wei Chirn; Qicheng Ma; Hemang Parikh; Delwood Richardson; Darrell Ricke; Shaun Purcell
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

10.  A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants.

Authors:  Laura J Scott; Karen L Mohlke; Lori L Bonnycastle; Cristen J Willer; Yun Li; William L Duren; Michael R Erdos; Heather M Stringham; Peter S Chines; Anne U Jackson; Ludmila Prokunina-Olsson; Chia-Jen Ding; Amy J Swift; Narisu Narisu; Tianle Hu; Randall Pruim; Rui Xiao; Xiao-Yi Li; Karen N Conneely; Nancy L Riebow; Andrew G Sprau; Maurine Tong; Peggy P White; Kurt N Hetrick; Michael W Barnhart; Craig W Bark; Janet L Goldstein; Lee Watkins; Fang Xiang; Jouko Saramies; Thomas A Buchanan; Richard M Watanabe; Timo T Valle; Leena Kinnunen; Gonçalo R Abecasis; Elizabeth W Pugh; Kimberly F Doheny; Richard N Bergman; Jaakko Tuomilehto; Francis S Collins; Michael Boehnke
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

View more
  64 in total

Review 1.  Progress in Defining the Genetic Basis of Diabetic Complications.

Authors:  Emma Dahlström; Niina Sandholm
Journal:  Curr Diab Rep       Date:  2017-09       Impact factor: 4.810

2.  Bivariate genetic association of KIAA1797 with heart rate in American Indians: the Strong Heart Family Study.

Authors:  Phillip E Melton; Sue Rutherford; Venkata Saroja Voruganti; Harald H H Göring; Sandra Laston; Karin Haack; Anthony G Comuzzie; Thomas D Dyer; Matthew P Johnson; Jack W Kent; Joanne E Curran; Eric K Moses; John Blangero; Ana Barac; Elisa T Lee; Lyle G Best; Richard R Fabsitz; Richard B Devereux; Peter M Okin; Jonathan N Bella; Uli Broeckel; Barbara V Howard; Jean W MacCluer; Shelley A Cole; Laura Almasy
Journal:  Hum Mol Genet       Date:  2010-07-03       Impact factor: 6.150

3.  Getting away from glucose: stop sugarcoating diabetes.

Authors:  Babak Razani; Clay F Semenkovich
Journal:  Nat Med       Date:  2009-04       Impact factor: 53.440

4.  Diabetes: Unravelling the enigma of T2DM and cardiovascular disease.

Authors:  Donald W Bowden; Amanda J Cox
Journal:  Nat Rev Endocrinol       Date:  2013-10-08       Impact factor: 43.330

5.  Common variants in and near IRS1 and subclinical cardiovascular disease in the Framingham Heart Study.

Authors:  Soo Lim; Jaeyoung Hong; Ching-Ti Liu; Marie-France Hivert; Charles C White; Joanne M Murabito; Christopher J O'Donnell; Josée Dupuis; Jose C Florez; James B Meigs
Journal:  Atherosclerosis       Date:  2013-04-22       Impact factor: 5.162

Review 6.  The genetics of vascular complications in diabetes mellitus.

Authors:  Dan Farbstein; Andrew P Levy
Journal:  Cardiol Clin       Date:  2010-08       Impact factor: 2.213

Review 7.  Hyperglycemia and vascular metabolic memory: truth or fiction?

Authors:  Cristina Bianchi; Roberto Miccoli; Stefano Del Prato
Journal:  Curr Diab Rep       Date:  2013-06       Impact factor: 4.810

8.  Common genetic variants on chromosome 9p21 are associated with myocardial infarction and type 2 diabetes in an Italian population.

Authors:  Francesca Gori; Claudia Specchia; Silvia Pietri; Luisa Crociati; Simona Barlera; Monica Franciosi; Antonio Nicolucci; Stefano Signorini; Paolo Brambilla; Maria Grazia Franzosi
Journal:  BMC Med Genet       Date:  2010-04-19       Impact factor: 2.103

9.  Chromosome 9p21.3 polymorphism in a Chinese Han population is associated with angiographic coronary plaque progression in non-diabetic but not in type 2 diabetic patients.

Authors:  Wei Wang; Wenhui Peng; Xianling Zhang; Lin Lu; Ruiyan Zhang; Qi Zhang; Lingjie Wang; Qiujing Chen; Weifeng Shen
Journal:  Cardiovasc Diabetol       Date:  2010-08-06       Impact factor: 9.951

10.  Plasma Taurine, Diabetes Genetic Predisposition, and Changes of Insulin Sensitivity in Response to Weight-Loss Diets.

Authors:  Yan Zheng; Uta Ceglarek; Tao Huang; Tiange Wang; Yoriko Heianza; Wenjie Ma; George A Bray; Joachim Thiery; Frank M Sacks; Lu Qi
Journal:  J Clin Endocrinol Metab       Date:  2016-07-28       Impact factor: 5.958

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.