FUMA is an integrative web-based platform designed to facilitate the functional annotation of genetic associations identified through genome-wide association studies (GWAS). It integrates multiple biological resources to help identify the most likely causal variants and genes, and provides interactive visualizations for data interpretation. FUMA incorporates positional, expression quantitative trait loci (eQTL), and chromatin interaction mappings to prioritize genes and SNPs. The platform outputs tables and figures containing detailed information on SNP functionality, gene expression, and chromatin interactions. FUMA is particularly useful for interpreting GWAS results, as it can identify novel causal genes and variants that are often missed by conventional methods. The authors validated FUMA's utility by applying it to GWAS data for body mass index (BMI), Crohn's disease, and schizophrenia, demonstrating its ability to identify both known and novel candidate genes. FUMA is available at http://fuma.ctglab.nl and can be customized to suit specific user needs.FUMA is an integrative web-based platform designed to facilitate the functional annotation of genetic associations identified through genome-wide association studies (GWAS). It integrates multiple biological resources to help identify the most likely causal variants and genes, and provides interactive visualizations for data interpretation. FUMA incorporates positional, expression quantitative trait loci (eQTL), and chromatin interaction mappings to prioritize genes and SNPs. The platform outputs tables and figures containing detailed information on SNP functionality, gene expression, and chromatin interactions. FUMA is particularly useful for interpreting GWAS results, as it can identify novel causal genes and variants that are often missed by conventional methods. The authors validated FUMA's utility by applying it to GWAS data for body mass index (BMI), Crohn's disease, and schizophrenia, demonstrating its ability to identify both known and novel candidate genes. FUMA is available at http://fuma.ctglab.nl and can be customized to suit specific user needs.