Genome-Wide Association Studies (GWAS) scan the entire genome to pinpoint genetic variations linked to common diseases such as diabetes and hypertension. This overview introduces the key genetic concepts, study designs, and statistical methods that make GWAS possible, while highlighting safeguards against false results. It also explores how GWAS discoveries are being translated into tools like Polygenic Risk Scores, paving the way for more precise and personalized approaches to public health.
