Background: Alzheimer's disease (AD) and type 2 diabetes (T2D) are examples of polygenic diseases that are hard to study in medical genetics because they don't follow Mendelian inheritance patterns and involve multiple alleles and environmental factors. (Visscher et al., 2021). The number of people with AD is rising around the world, and diabetes is making the healthcare system even more strained (Dosh et al., 2023). Recently, it has been noted that cognitive dysfunction is a significant comorbidity of diabetes (Janoutová et al., 2022), suggesting a potential link between AD and T2D and providing a basis for further genetic investigations to understand better the pathogenesis of these diseases (Gudala et al., 2013). Bioinformatics analysis of genomic data provides valuable insights into the genetic causes of AD and T2D, which helps us develop a pipeline to discover targeted treatments. Here, we present an analysis of SNP variants' relationships with both diseases through GWAS and pleiotropic studies, as well as frameshift variants in patients with Alzheimer's disease and type 2 diabetes.