Abstract only We aimed to identify how genetic risk scores predicted patterns of cardiometabolic (CM) risk factors in women from the 2005 Cebu Longitudinal Health and Nutrition Survey ( n = 1,492, age =36–68 y). Previous work identified clusters of women with similar CM features: healthy, high blood pressure (BP), low HDL‐c, insulin resistant (IR), and high inflammation. Genetic risk scores for BP, LDL‐c, HDL‐c, triglycerides, glucose, and C‐reactive protein (CRP) summed the number of effect alleles known to relate to each trait. Using multinomial logistic regression, we predicted CM clusters with genetic risk scores, adjusting for population substructure, age, menopause, parity, waist circumference, BMI, and energy intake. Compared to the healthy cluster: a higher HDL‐c genetic risk score (OR 1.12, 95% CI= 1.03–1.02) increased odds of being in the elevated BP cluster; a lower LDL‐c score (0.90, 0.82–1.00) and higher HDL‐c score (1.15, 1.08–1.23) increased the odds of being in the low HDL‐c cluster; a higher CRP score (1.28, 1.05–1.55) and higher glucose score (1.23, 1.09–1.39) increased the odds of being in the IR cluster; a higher CRP score (1.32, 1.15–1.50) and higher BP score (1.11, 1.01–1.23) increased the odds of being in the high inflammation cluster. For most CM clusters, genetic risk across multiple traits predicted cluster membership, emphasizing the notion that many synergistic genetic effects likely influence CM risk. Grant Funding Source : The University of North Carolina at Chapel Hill and National Institutes of Health: DK078150 , HL0851445144