What is the downside of adding too many covariates? Such as PC1-20 instead of just PC1-10, or including age2 and age, instead of just age, etc.
This will also come back on day 4 - overcorrecting especially once you are using an LMM model results in deflated lambdas. If you have a single ancestry sample often PC1-4 is more than enough