A number of candidate gene polymorphisms have been shown to be associated with macrovascular disease risk factors in non-diabetic populations, however, the genetic contribution to vascular disease in diabetic patients has been less well studied. The program project will examine whether strategically selected candidate genes can be implicated in the development of macro- and micro-vascular disease complications in the DCCT/EDIC cohort of Type 1 diabetes patients and the VA Cooperative Trial of Type 2 Diabetes patients. Investigators will examine whether these polymorphisms are associated with quantitative and qualitative measures of vascular disease and/or with molecular biomarkers measured within the program project that represent proteins or protein activities encoded by these genes. The overall goal of the Molecular and Statistical Genetics Core is to facilitate studies assessing whether specific candidate gene polymorphisms are associated with the development of macrovascular and microvascular disease complications in diabetes. The Core?s specific aims I include: (1) make available technologies for DNA sequencing, genotyping, and polymorphism/mutation detection to the project investigators; (2) help project investigators in study design, statistical analysis, and power calculations for studying the genetic basis of vascular complications in diabetes. The core will provide the following services: (I) procurement, purification, and banking of DNA; (ii) rapid turnaround DAN sequencing; (iii) rapid and high throughput characterization of gene polymorphism/mutations in candidates selected by the various project investigators; (iv) screening of gene candidates for novel polymorphisms/mutations; (v) identification and use of single nucleotide polymorphisms (SNPs) as well as microsatellite markers for mapping chromosomal loci; (vi) statistical genetic analysis including power calculations, experiment planning, association analysis, haplotype analysis, analyses for publications, and segregation and linkage analyses is needed.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL055782-07
Application #
6658435
Study Section
Heart, Lung, and Blood Program Project Review Committee (HLBP)
Project Start
2002-09-01
Project End
2003-08-31
Budget Start
Budget End
Support Year
7
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Medical University of South Carolina
Department
Type
DUNS #
183710748
City
Charleston
State
SC
Country
United States
Zip Code
29425
Hunt, Kelly J; Jaffa, Miran A; Garrett, Sara M et al. (2018) Plasma Connective Tissue Growth Factor (CTGF/CCN2) Levels Predict Myocardial Infarction in the Veterans Affairs Diabetes Trial (VADT) Cohort. Diabetes Care 41:840-846
Jaffa, Miran A; Gebregziabher, Mulugeta; Garrett, Sara M et al. (2018) Analysis of longitudinal semicontinuous data using marginalized two-part model. J Transl Med 16:301
Hammad, Samar M; Baker, Nathaniel L; El Abiad, Jad M et al. (2017) Increased Plasma Levels of Select Deoxy-ceramide and Ceramide Species are Associated with Increased Odds of Diabetic Neuropathy in Type 1 Diabetes: A Pilot Study. Neuromolecular Med 19:46-56
Jaffa, Miran A; Luttrell, Deirdre; Schmaier, Alvin H et al. (2016) Plasma Prekallikrein Is Associated With Carotid Intima-Media Thickness in Type 1 Diabetes. Diabetes 65:498-502
Jaffa, Miran A; Gebregziabher, Mulugeta; Luttrell, Deirdre K et al. (2016) Multivariate Generalized Linear Mixed Models With Random Intercepts To Analyze Cardiovascular Risk Markers in Type-1 Diabetic Patients. J Appl Stat 43:1447-1464
Jaffa, Miran A; Lipsitz, Stuart; Woolson, Robert F (2015) Slope estimation for informatively right censored longitudinal data modelling the number of observations using geometric and Poisson distributions: application to renal transplant cohort. Stat Methods Med Res 24:819-35
Hunt, Kelly J; Baker, Nathaniel L; Cleary, Patricia A et al. (2015) Longitudinal Association Between Endothelial Dysfunction, Inflammation, and Clotting Biomarkers With Subclinical Atherosclerosis in Type 1 Diabetes: An Evaluation of the DCCT/EDIC Cohort. Diabetes Care 38:1281-9
Thalacker-Mercer, Anna E; Ingram, Katherine H; Guo, Fangjian et al. (2014) BMI, RQ, diabetes, and sex affect the relationships between amino acids and clamp measures of insulin action in humans. Diabetes 63:791-800
Klein, Richard L; Hammad, Samar M; Baker, Nathaniel L et al. (2014) Decreased plasma levels of select very long chain ceramide species are associated with the development of nephropathy in type 1 diabetes. Metabolism 63:1287-95
Basu, Arpita; Jenkins, Alicia J; Stoner, Julie A et al. (2014) Plasma total homocysteine and carotid intima-media thickness in type 1 diabetes: a prospective study. Atherosclerosis 236:188-195

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