Post by federico on Sept 9, 2021 8:49:06 GMT
Hello, I would like to calculate the genetic correlation and different heritabilities of the same trait measured in two different populations -- while at the same time using covariates.
The phenotype is binary (dead or alive) and my current strategy is to have the same data in two columns, and then replace the values for Pop2 with "missing value" in column one, and the values for Pop1 with "missing value" in column two, so that the same phenotype looks like two different phenotypes, one only measured in Pop1 and the other only measured in Pop2.
This approach works, well, but it fails when I try to use covariates (it is a split plot experiment, which causes collinearity because some levels of the 'plot' covariate are present in only one or the other populations).
Is there a way of running the analysis so that I can get the genetic correlation for the same trait in the two populations while including covariates in the analysis?