The LDSC approach featured here attempts to quantitate similarities and differences in association signals across the entire genome. Some of our phenotype-pairs have been examined previously using genome-wide assessment methods, yielding apparently contradictory findings (Anttila et al. 2016; B. K. Bulik-Sullivan et al. 2015; Zheng et al. 2016). For example, a previous study implementing a REML-based approach did not find significant SNP-based co-heritabilities between CD and the major psychiatric phenotypes (Lee et al. 2013). Additionally, the first study implementing the LDSC method found no significant correlation (rg = 0.08 ± 0.08, uncorrected p = 0.33) between BD and UC;(B. Bulik-Sullivan et al. 2015) this study used a smaller dataset for BD (Sklar et al., 2011; N = 16,731) and a different version of the UC dataset (reported as Jostins et al., 2012; N = 27,432). A similar non-correlation is also reported in LD-Hub (http://ldsc.broadinstitute.org/), using what appears to be the same datasets, although referencing a related article (Liu et al., 2015; = 27,432). The analyses portrayed in our main text utilized a larger BD dataset (Hou et al., N =
