Use of polygenic risk scores of nicotine metabolism in predicting smoking behaviors.

ABSTRACT:

Aim

This study tests whether polygenic risk scores (PRSs) for nicotine metabolism predict smoking behaviors in independent data.

Materials & methods

Linear regression, logistic regression and survival analyses were used to analyze nicotine metabolism PRSs and nicotine metabolism, smoking quantity and smoking cessation.

Results

Nicotine metabolism PRSs based on two genome wide association studies (GWAS) meta-analyses significantly predicted nicotine metabolism biomarkers (R² range: 9.2-16%; minimum p = 7.6 × 10^-8). The GWAS top hit variant rs56113850 significantly predicted nicotine metabolism biomarkers (R² range: 14-17%; minimum p = 4.4 × 10^-8). There was insufficient evidence for these PRSs predicting smoking quantity and

SUBMITTER: Chen LS 

PROVIDER: S-EPMC6562697 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature