borderline personality disorder (Lubke et al. 2014), language impairment (Jernigan et al. 2016), personality domains (five factor model; de Moor et al. 2012), post-traumatic stress disorder (L. E. Duncan et al. 2017), and reading disability (Eicher et al. 2013). We also ultimately excluded data from studies of ethanol, opiate, and cocaine dependence (Joel Gelernter et al. 2014; J Gelernter, Kranzler, et al. 2014; J Gelernter, Sherva, et al. 2014), as genetic correlations involving these phenotypes were frequently outside the boundaries tolerated by the LDSC software, making them difficult to interpret; this may have been related to the ordinal-ranked phenotypes used in the GWASs. Finally, while relationships between tobacco-smoking behavior and other psychiatric phenotypes have been examined previously (B. Bulik-Sullivan et al. 2015; Zheng et al. 2016), we chose to retain smoking data in order to assess relationships with a more complete set of immune-related phenotypes. The full list of phenotypes identified in the search and retained for analyses is shown in Supplementary Table 1, along with identification of the study cohorts and consortia that generated these data, full citations of the respective publications, and indications of sample size, information regarding genomic inflation, and estimated SNP heritability.
