I have run some genome-wide survival analysis using genipe (which uses a Cox proportional hazards model). I have cleaned for all the normal QC measures (info>0.95, maf>0.05, missingness<0.1, hwe>5e-6, removed related individuals, removed principal component (PC) outliers) and have corrected for the first 8 PCs as well as the site that the samples were collected from. However, I am getting a really large genomic inflation factor of 1.2.
I am wondering - is this due to the nature of the survival model? Or am I missing something that I should be correcting for?