Background
Heritability estimates from twin studies of the multi-faceted phenotype of nicotine dependence (ND) range from moderate to high (31–60%), but vary substantially based on the specific ND-related construct examined. The current study estimated the aggregate role of common genetic variants on key ND constructs.
Methods
Genomic Relatedness Restricted Maximum Likelihood (GREML) was used to decompose phenotypic variance across multiple ND indices using 796,125 polymorphisms from 2346 unrelated “lifetime ever smokers” of European ancestry. Measures included DSM-IV ND and FTND summary measures and constituent constructs (e.g. withdrawal severity, tolerance, heaviness of smoking, and time spent smoking). Exploratory (EFA) and confirmatory (CFA) factor models were used to describe the covariance structure across ND measures; resulting factor(s) were the subject(s) of GREML analyses.
Results
Factor models indicated highly correlated DSM-IV and FTND factors for ND (0.545 [95% CI: 0.50–0.60]) that could be represented as a higher-order factor (NIC DEP). Additive genetic influences on NIC DEP was 33% (S.E.= .14, p = .009). Post hoc analyses indicated moderate genetic effects on the DSM-IV (34% [S.E.= .14, p = .008]) and FTND factors (26% [SE .=.14, p = .032]), both of which were influenced by the same genetic effects, (rG-SNP = 1.00, S.E. = .09, p < .00001).
Conclusions
Overall, common SNPs accounted for a large proportion of the genetic influences on ND-related phenotypes that have been observed in twin studies. Genetic contributions across distinct ND scales were largely influenced by shared genetic factors.