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Association analysis, also known as linkage disequilibrium (LD) mapping or association mapping (AM), is a population-based survey used to identify the trait-marker relationships. Unlike linkage analysis where the familial relationships are used to predict correlations between phenotype and genotype, association analysis rely on previous, unrecorded sources of disequilibrium to create population-wide marker-phenotype associations (Boopathi, 2020). Association mapping is divided into two types: genome-wide association studies (GWAS) and candidate gene (CG) based association. Unlike CG based analysis where preliminary studies are performed and candidate genes are analyzed, GWAS scans the whole genome to determine if any relationship exists between phenotypes and genome-wide markers. In this video I have explained GWAS, including its meaning, pre-requisites, analysis, interpretations, case studies etc.