Hi all,
As GWAS provided lots of SNPs that are associated with phenotypes, researchers always applied meta-analysis with much more samples.
Generally, researchers applied regression analysis on the associated variants, and WGRS risk profiles will be used to define the relative risks regarding to baseline.
When I simulated 10,000 random samples based on the MAFs, my question is how to stratify samples into different risk level. If I cut the profile into three categories, I can define 40-60% quantiles as normal, while the other two ones are subjected to low and high risk.
My question is: 1. Are there really individuals with low risk according to risk variants, or "these people really carry protective alleles"? 2. If I need to cut them into 5 categories, is there any existed algorithm that I can apply to do such?
Reference: "Developing and evaluating polygenic risk prediction models for stratified disease prevention"
Thanks, Junfeng
