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Introduction: African Americans have the highest prevalence of obesity in the U.S. Our prior work on HapMap imputed genome-wide association studies (GWAS) from the African Ancestry Anthropometry Genetics Consortium (AAAGC) revealed seven genome-wide significant loci for body mass index (BMI). Hypothesis: In this study, we extended to use genome-wide imputation to the cosmopolitan 1000 Genomes Phase 1 reference panel to examine individuals of African ancestry for association with BMI (N=53,493), waist-to-hip ratio adjusted for BMI (WHRadjBMI) (N=23,692) and height (N=53,362) in the discovery and replication stages. Methods: In each study, traits were stratified by gender and transformed to normality and adjusted for age, study specific covariates and principal components for single variant association test under an additive model. In the discovery stage, meta-analyses using fixed-effects inverse variance weighted method were performed to combine association results in all and sex-stratified samples. Variants with P Results: For BMI, we observed genome-wide significant associations (P Conclusions: We identified 12 novel loci associated with anthropometry traits in sex-combined and sex-stratified analyses of African ancestry populations and additional European populations. Our findings support that imputation to higher density reference panels such as 1000 Genomes improves the power to detect associations at low frequency variants, which is particularly useful for African ancestry populations with a low degree of linkage disequilibrium.