al. 2011; 2012)2.2. Based on relevance to diseaseEndophenotype ranking value (ERV; Glahn et al. 2012), aims to rank biomarkers in terms of their promise as endophenotypes for any heritable illness.Balances the strength of the genetic signal for the endophenotype and the strength of its relation to the disorder of interest2.3. based on using multivariate statisticsUse multiple predictors in the genome or image or both (reviewed in Hibar et al. 2011a; Thompson et al. 2013; Meda et al. 2012);Sparse regression (Vounou et al. 2010, 2012; Ge et al. 2012; Silver et al. 2012), compressive sensing, parallel ICA, machine learning methodsCan search both the image and the genome simultaneouslyDifficult to apply to distributed remote datasets for meta-analysis and may be difficult to interpret the biological relevance of the signal3. Multimodality approachesExploit joint information in several imaging modalities or other biomarkers at the same timeMultimodal data fusion using ICA (Calhoun et al. 2009)Seemingly Unrelated Regression to pool information across simultaneous models (SUR; Jahanshad et al. 2013c)More work required to analyse mutliple data modalities at once (e.g., anatomical MRI and DTI)
