We used MASSIVE to conduct Latent Causal Variable (LCV)28 analyses on the same 251 phenotypes significant in our genetic correlation analyses (Supplemental Table 19). Post multiple corrections (p = .05/250 = 1.98e-4), the only significant causal processes were medication codes. Specifically, addiction-rf was estimated as a potential risk factor for “Medication for cholesterol, blood pressure or diabetes: Cholesterol lowering medication” (gcp = −.739(.078), p =4.51e21), “treatment/medication code: atorvastatin” (gcp = −.373(.050), p = 7.93e-14) and “Medication for cholesterol, blood pressure, diabetes, or take exogenous hormones: Cholesterol lowering medication” (gcp= −.315(.071), p = 8.3128e-06). The negative gcp estimates suggest a causal role of addiction on physical disease (addiction-rf is trait 2 in all instances).
