Considering that the p-value of a chi statistic(df=1) is uniform, the expected genomic inflation factor is λ=1. I show its calculation in R with the next chunk of code:
chi = qchisq(df$pval,df=1,lower.tail=FALSE)
factor = median(chi)/qchisq(p=0.5,df=1)
My question comes here. Imagine that I compute λ on several (e.g. >30 independent GWAS) studies. My null hypothesis is that all of them lack true-polygenic signals (i.e. uniform p-value distribution). What test can I do to reject H0? What is the distribution that I can assume for the inflation factors?