A new regression model controlling for effective dimensions and latent factors. We show how latent factors jeopardize traditional methods but not this new model. A kernel-based procedure is also proposed for efficient imaging genetic studies. We apply our method to ADNI dataset and CACNA1C to be the most significant gene. Our results show more significance and biological relevance than previous studies.