“…Nosologies such as the DSM and ICD characterize mental health problems as a set of discrete, 'disease-like' entities. Although this approach has undoubtedly led to advancements in our understanding of mental illhealth, limitations such as arbitrary thresholds (Bebbington, 2015;Krueger & Eaton, 2015), heterogeneity within diagnostic categories (Fried, 2015;Olbert, Gala, & Tupler, 2014) and symptom overlap across diagnostic categories (Borsboom, Cramer, Schmittmann, Epskamp, & Waldorp, 2011), have likely contributed to the problems of high comorbidity and poor reliability. These issues in turn may have impeded our attempts to uncover and understand core physiological markers (Cross-Disorder Group of the Psychiatric Genomics Consortium, 2013; Kapur, Phillips, & Insel, 2012;Kendler, 2005;Sullivan, Daly, & O'donovan, 2012) and environmental risk factors for psychopathology (Green et al, 2010), and this has led to increasing calls to move towards data-driven models that may better capture the inherent complexity of psychopathological phenotypes (Kotov, Krueger, & Watson, 2018;Van Dam et al, 2017).…”