Editorial: Modern Statistical Learning Strategies in Imaging Genetics

Editorial on the Research Topic Modern Statistical Learning Strategies in Imaging Genetics With the rapid growth of modern technology, many biomedical studies, such as the Alzheimer's disease neuroimaging initiative (ADNI) study (Mueller et al., 2005), Human Connectome Project (HCP) (Van Essen et al., 2013), and UK BioBank (UKBB) study (Sudlow et al., 2015), are being conducted to collect massive datasets with volumes of multi-modality imaging, genetic, neurocognitive, and clinical information from increasingly large cohorts. [...]integration of imaging and genetic data through deep learning techniques recently gained considerable attention in AD prediction. Taken together, the studies in this special issue include several advanced statistical learning approaches in imaging genetics, and exemplify the potential impact of applying these methods to better understand the roles of brain imaging data and genetic information in mental health and disease.