A comprehensive analysis comparing linear and generalized linear models in detecting adaptive SNPs.

Abstract excerpt

To understand how organisms adapt to their environment, a gene-environmental association (GEA) analysis is commonly conducted. GEA methods based on mixed models, such as linear latent factor mixed models (LFMM) and LFMM2, have grown in popularity for their robust performance in terms of power and computational speed. However, it is unclear how the assumption of a Gaussian distribution for the response variables...

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