We propose to undertake analyses within the Million Veterans Program (MVP) database to Assess Associations between Diabetic Complications and Genetic Variants.
Aim 1 involves Database Development that will create a virtual baseline examination linking MVP data to VAMC outpatient visits, and, when appropriate, VAMC hospitalizations, using the electronic health record. We will conduct cutting edge Genome Wide Association Studies (GWAS) of common (CVAS) and rare (RVAS) variants. The outcomes investigated are diabetic eye, kidney, and cardiovascular complications, and hypoglycemia.
Aim 2 is Diabetes Complications Analyses concerning outcome risks using time-integrated longitudinal measures of risk factors (RFs) to include both genetic variants and traditional RFs considering both single and multiple assessments of outcomes with cross-sectional and period prevalence estimates. We will analyze organ-specific and metabolic complications according to type 1 and type 2 diabetes status using EHR data in VA records. Specific outcomes investigated: Ocular (retinal disease, glaucoma), Renal (micro- and macro-albuminuria, and decreased eGFR [CKD stages and ESRD), Cardiovascular (cardiac failure), and Hypoglycemia (emergency department visits and hospitalizations, adjusted for HbA1c and glucose levels, and use of glycemic medications [from the EHR]).
Aim 3 will develop Diabetic Complications Risk Scores. Both traditional RF and separate genetic prediction models will be compared using logistic regression for each outcome. Models will evaluate the role of RFs and pharmacologic therapy for abnormal blood pressure, lipids, and glucose. We will use an outcome-specific genetic score as a potential reclassification variable.

Public Health Relevance

We propose to undertake analyses to assess ?Diabetic Complications and Genetic Variants in the Million Veterans Program.? Aim 1 involves Database Development to create a virtual baseline within the Million Veterans Program (MVP) database, linking MVP data to the VAMC electronic health record (EHR). Aim 2 is Diabetes Complications Analyses concerning outcome risks according to diabetes status using VA EHR data: Ocular (retinal disease, glaucoma), Renal (micro- and macro- albuminuria, and decreased eGFR [CKD stages and ESRD), Cardiovascular (cardiac failure), and Hypoglycemia (emergency department visits and hospitalizations). Aim 3 will develop Diabetic Complications Risk Scores using traditional and genetic RF information.

Agency
National Institute of Health (NIH)
Institute
Veterans Affairs (VA)
Type
Non-HHS Research Projects (I01)
Project #
1I01CX001737-01
Application #
9483196
Study Section
Special Initiatives - MVP Projects (SPLM)
Project Start
2018-10-01
Project End
2020-09-30
Budget Start
2018-10-01
Budget End
2019-09-30
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Veterans Health Administration
Department
Type
DUNS #
824835805
City
Decatur
State
GA
Country
United States
Zip Code
30033