Multi-Polygenic Analysis of Nicotine Dependence in Individuals of European Ancestry.
Victoria A RisnerChelsie E Benca-BachmanLauren BertinAlicia K SmithJaakko KaprioJohn E McGearyElissa CheslerValerie S KnopikNaomi P FriedmanH C Palmer RohanPublished in: Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2022)
These findings enhance our understanding of inherited genetic factors for nicotine dependence. The data show that genome-wide association study (GWAS) findings across pre- and comorbid conditions of smoking are differentially associated with nicotine dependence and that when combined explain significantly more trait variance. These findings underscore the utility of multivariate approaches to understand the validity of polygenic scores for nicotine dependence, especially as the power of GWAS of broadly-defined smoking behaviors increases. Realizing the potential of GWAS to inform complex smoking behaviors will require similar theory-driven models that reflect the myriad of mechanisms that drive individual differences.