Measuring negative selection involves analyzing genetic data from populations to identify alleles that are being removed at a higher rate than expected under neutral evolution. Techniques such as genome-wide association studies (GWAS) and population genetics models are often employed to detect signals of negative selection. These methods can identify specific genes or loci that are under purifying selection, providing insights into the genetic basis of disease susceptibility.
