I have this question from the recent analysis that I have been doing.
I am meta-analysing a continous trait (say TRAIT1), that is inverse normal transformed. And one particular locus that was GW significant in an earlier effort (using log-transformed values) completely loses its significance in the current analysis.
The sample size is more or less the same.
Here is a paper that suggests Inverse normal transformation can reduce power in few instances.
Is this possible!
Thanks in advance. M