This lecture covers the statistical analysis of Genome-wide Association Studies (GWAS). It explains how SNPs are tested for association with protein expression using p-values and statistical tests. The lecture also discusses the importance of adjusting for multiple testing to avoid false positives and the concept of sparse effects in genetic studies.