GenomicSEM (v0.0.5) 35 was employed using diagonally weighted least squares estimation and unit variance identification to conduct a correlated three‐factor confirmatory analysis modelling genetic associations among sensation seeking, alcohol consumption, and AUD. Notably, GenomicSEM adjusts for sample overlap by estimating a sampling covariance matrix that indexes the extent to which sampling errors of the estimates are associated. 35 AUD was modelled as a dummy latent factor by specifying a loading of 1 and 0 residual variance to allow for its inclusion in this model. Model fit was assessed using χ 2, comparative fit index (CFI), standardised root mean square residual (SRMR), and Akaike information criterion (AIC) values.
