Traditional risk factors do not adequately identify individuals at risk for CKD. We related a multi-marker panel consisting of the following seven circulating biomarkers to the incidence of CKD and microalbuminuria (MA) in 2345 participants who attended the sixth Framingham Offspring Study examination (1995 to 1998): C-reactive protein, aldosterone, renin, B-type natriuretic peptide (BNP), plasminogen-activator inhibitor type 1, fibrinogen, and homocysteine. We defined CKD at follow-up (2005 to 2008) as estimated GFR (eGFR) Ͻ60 ml/min per 1.73 m 2 ; we defined MA as urine albumin-to-creatinine ratio Ն25 (women) or 17 (men) mg/g on spot urine samples. We identified a parsimonious set of markers related to outcomes adjusting for standard risk factors and baseline renal function, and we assessed their incremental predictive utility. During a mean 9.5-year follow-up, 213 participants developed CKD and 186 developed MA. In multivariable logistic regression models, the multi-marker panel was associated with incident CKD (P Ͻ 0.001) and MA (P ϭ 0.003). Serum homocysteine and aldosterone both were significantly associated with CKD incidence, and log-transformed aldosterone, BNP, and homocysteine were significantly associated with incident MA. Biomarkers improved risk prediction as measured by improvements in the c-statistics for both CKD and MA and by a 7% increase in net risk reclassification. In conclusion, circulating homocysteine, aldosterone, and BNP provide incremental information regarding risk for incident CKD and MA beyond traditional risk factors. Chronic kidney disease (CKD) affects nearly 26 million adults in the United States, which is nearly 13% of the adult population. 1 CKD is associated with metabolic abnormalities 2 and bone disease 3 and is also an important risk factor for peripheral vascular disease, 4,5 cardiovascular disease (CVD), 6 -8 stroke, 4 and allcause mortality. 9,10 Hypertension and diabetes are key risk factors for CKD 11 but do not fully identify individuals at risk for developing CKD. A recently developed algorithm for predicting incident CKD risk showed suboptimal discrimination, 12 underscoring the need to identify novel markers and use newer approaches for identifying high-risk individuals to prevent CKD in the community.Serum creatinine, as used in most GFR estimat-