We applied confirmatory factor analysis to the covariance matrix generated by LDSC using genomic SEM (Grotzinger et al., 2019) with weighted least squares estimation. As presented in Hatoum et al. (2022)), the indicators were allowed to load freely on a single latent factor (Addiction-Risk-Factor), but we updated the OUD (Deak et al., 2022), PAU (Zhou et al., 2023), and CanUD (Levey et al., 2023) GWASs. We compared Addiction-Risk-Factor models with DSM-NicDep, PTU (a combination of FTND and CPD [Hatoum, Colbert, et al., 2023), or ICD-TUD as the tobacco-related indicator. The variance of the common latent factor was scaled to 1.0.
