Identifying genetic risk factors involves a combination of genetic testing, family history analysis, and genome-wide association studies (GWAS). GWAS are particularly valuable as they compare the DNA of individuals with a specific disease to those without it, identifying genetic variations that may contribute to disease risk. Bioinformatics tools are often used to analyze and interpret the vast amounts of data generated from these studies.
