Hello, I've ran a genome scan with the software LFMM (frichot et al. 2013) and under all reasonable number of latent factors (k), I get a very high genome inflation factor (2.8-3.3). I'm not sure what could be causing this. If I'm dividing by this high GIF (2.8) and get the expected historgram adjusted p values (http://membres-timc.imag.fr/Olivier.Francois/LEA/files/LEA_1.html), can I trust the results of the genome scan?
1 answer
The point is we don't know how large GIFs could be in genome scans for selection. I suggest that you increase the number of factors and see if this reduces the GIF. You could also use the newest version of the lfmm program from github https://bcm-uga.github.io/lfmm/index.html. It is much faster that the LEA version, and sometimes better (missing data must be imputed). This could be helpful for checking that your previous discoveries were correct.
Log in to answer this question.