which is the model i should use for GS using SNP effects
Hello everyone
I have a dataset of 300 eucalypts trees and 12K of bilallelic SNP where the Manhattan plot shows heterogeneous distribution for the marker effects. I fitted a BLUP model using GS3 program and r with phenotypes was higher than fitting a Bayesian model. How can I decide which model is the aproppiate? thanks for any help.
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Perform >3x cross validation on the models and check the CV error. The one with the smallest error is possibly the better model.
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