When using plink to perform a case-control logistic regression, should LD-pruning be performed beforehand? One of the assumptions with the logistic regression model is that the variables being tested are independent, and it seems like variants that are in LD would violate this assumption. If LD-pruning should be performed, what would be a good r^2 cut-off? If it shouldn't be performed, why not?