The NHGRI-EBI Catalog of Published Genome-Wide Association Studies (GWAS Catalog) has been redesigned and relocated to EMBL-EBI, enhancing its functionality and scalability. The new infrastructure includes a user-friendly interface, ontology-supported search capabilities, and improved curation tools. These improvements have increased data release frequency and expanded the range of available data, now including structured ancestry and recruitment information for all studies. The catalog supports larger arrays, exomes, and sequencing studies, adapting to evolving study designs and user needs. The catalog's data are used by researchers for identifying causal variants, understanding disease mechanisms, and developing new therapies. The new website offers enhanced documentation, improved data visualization, and better user support, with plans for further enhancements, including a REST API and advanced search features. The catalog aims to remain relevant by including all large-scale association studies and SNP-trait associations, regardless of P-value, and by developing scalable methods for data acquisition.The NHGRI-EBI Catalog of Published Genome-Wide Association Studies (GWAS Catalog) has been redesigned and relocated to EMBL-EBI, enhancing its functionality and scalability. The new infrastructure includes a user-friendly interface, ontology-supported search capabilities, and improved curation tools. These improvements have increased data release frequency and expanded the range of available data, now including structured ancestry and recruitment information for all studies. The catalog supports larger arrays, exomes, and sequencing studies, adapting to evolving study designs and user needs. The catalog's data are used by researchers for identifying causal variants, understanding disease mechanisms, and developing new therapies. The new website offers enhanced documentation, improved data visualization, and better user support, with plans for further enhancements, including a REST API and advanced search features. The catalog aims to remain relevant by including all large-scale association studies and SNP-trait associations, regardless of P-value, and by developing scalable methods for data acquisition.