Please answer the following questions regarding your study population, genes, SNPs and Polygenic Risk Score of interest, and whether you have already genotyped your data. Based on your responses, we will suggest the most suitable genotyping array for your research needs.
Coronary Artery Disease (CAD) Study: Key genes like LDLR (Low-Density Lipoprotein Receptor) and APOE (Apolipoprotein E) play a crucial role in lipid metabolism and cholesterol regulation, both of which are important in the development of CAD. Studying SNPs such as rs10455872 and rs1122608 can help researchers understand the genetic underpinnings of CAD and improve strategies for prevention, early detection, and treatment. Although rare variant analysis is often critical in other diseases, it may not always be necessary for CAD studies, as common variants may play a more significant role.
Breast Cancer Study: Genetic factors, such as mutations in the BRCA1 and TP53 genes, are known to increase the risk of developing breast cancer. Understanding genetic variants and SNPs associated with breast cancer can provide insights into its susceptibility, diagnosis, and potential treatment options. Studies on rare variants can help identify novel genetic risk factors for more personalized medicine.