Lower serum uromodulin (umod) levels correlate with decreasing kidney function, but their relationship with coronary artery disease (CAD) is unknown. We examined the relationships between serum umod, and the development of albuminuria, chronic kidney disease (CKD) and progression of coronary artery calcium (CAC) in adults with type 1 diabetes (T1D), over 12-years. Participants with T1D (n=539, mean age of 40±9, HbA1c 7.7±1.2%, 53% women) in the Coronary Artery Calcification in Type 1 Diabetes study were assessed for CAC progression (128-slice spiral CT), urinary albumin to creatinine ratio (UACR) and estimated GFR (eGFR) calculated by CKD-EPI cre-atinine. CKD was defined as eGFR <60mL/min/1.73m 2 , albuminuria as UACR ≥30 mg/g, and CAC progression as a change in the square root transformed CAC volume ≥2.5. Serum umod was measured using immunoassay kits from Meso Scale Discovery. Logistic regression was used to examine the relationship between umod and incident albuminuria, CKD, or CAC progression, controlling for age, sex, diabetes duration, HbA1c, SBP and LDL-C. Integrated discrimination index (IDI) and net-reclassification improvement (NRI) were used to assess the added prediction performance of umod to a model with age, sex, diabetes duration and ABC risk factors. CAC progression was observed in 49%, incident albuminuria in 6% and incident CKD in 6% of the subjects. Serum umod at baseline was associated with CAC progression (OR: 0.66 95% CI [0.47-0.94] per one SD=138.7 mcg/mg), incident albumin-uria (0.27 [0.11-0.65]) and incident CKD (0.39 [0.20-0.76]) in adjusted models. Results were similar for CAC progression when adjusting for baseline eGFR and UACR, and when excluding participants with CKD or albuminuria. The addition of umod to the baseline model improved relative IDI for CAC progression by 6% (p=0.008) and correctly reclassified 22% cases of CAC progression (p=0.02). In conclusion, lower serum umod levels independently predict development of CAC in adults with T1D. Several genetic variants associated with CVD have been identified in the general population. Our goal was to investigate whether these variants predicted the incidence of major adverse cardiovascular events (MACE) among type 2 diabetes (T2D) subjects at high CVD risk from the ACCORD Study. We analyzed data from 5,360 self-reported white T2D subjects with a median follow-up of 4.7 years. A genetic risk score (GRS) was derived by adding the effect size-weighted number of risk alleles at 40 CVD loci identified in the general population. The association of the GRS with MACE was evaluated by logistic regression including age, gender, and study treatments as covariates. Clinical CVD risk classes were defined as "very high" (presence of CVD at baseline or AHA-ACC 10-year MACE risk score > 15%) or "mod-erately high" (10 y risk <= 15%). The GRS ranged from 27 to 62, with each unit increase being associated with a 3% additional risk of MACE (OR 1.03; 95% CI 1.01-1.06, p=0.002). Subjects in the highest GRS tertile had a 55% increase in MACE risk as co...