Background: Cotton ( Gossypium hirsutum L.) production is adversely affected by many biotic and abiotic factors. Among the biotic factors, cotton leaf curl disease (CLCuD), caused by a begomovirus, is the most damaging. An association mapping approach was used to find out population structure and linkage disequilibrium in cotton germplasm; and simple sequence repeat (SSR) markers associated with CLCuD infestation and seed cotton yield per plant (SCY). Results: Data was recorded for percent disease index (PDI) and SCY of 30 diverse cotton cultivars. Out of one thousand SSR markers used for polymorphism screening of plant material, 125 were found polymorphic and used for genotyping of 30 cultivars. STRUCTURE 2.0 software identified three sub-populations in plant material. Linkage disequilibrium (LD) analysis showed that at P < 0.05, 270/7750 marker pairs (3.48%) displayed significant pair-wise LD and values for correlation between alleles at two loci ( r 2 ) and disequilibrium coefficient ( Dʹ ) were > 0.05 and > 0.33, respectively, which were stringent enough for identification of valid marker-trait associations. Three markers (BNL1421, BNL946, NAU2336) were associated with PDI and five markers (NAU3100, NAU3860, NAU2419, NAU3011, NAU4565) were associated with SCY under both GLM (general linear model) and MLM (mixed linear model) analyses. Conclusion: Marker BNL1421 (with phenotypic variance explained ( R 2 ) and heritability values of 26.45% and 0.90, respectively) would be a valuable candidate in marker-assisted selection (MAS) to screen CLCuD susceptible cotton genotypes. Findings of this study will help in understanding genetics of CLCuD infestation and designing future molecular breeding programmes to control this disease. Keywords: Cotton leaf curl virus, Disease, General linear model, Linkage disequilibrium, Population structure, Simple sequence repeats