Dataset Information

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 smoking cessation.

Conclusion

Results suggest that nicotine metabolism PRSs based on GWAS meta-analyses predict an individual's nicotine metabolism, so does use of the top hit variant. We anticipate that PRSs will enter clinical medicine, but additional research is needed to develop a more comprehensive genetic score to predict smoking behaviors.

SUBMITTER: Chen LS

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

REPOSITORIES: biostudies-literature

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Publications

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

Chen Li-Shiun LS Hartz Sarah M SM Baker Timothy B TB Ma Yinjiao Y L Saccone Nancy N Bierut Laura J LJ

Pharmacogenomics 20181116 18

<h4>Aim</h4>This study tests whether polygenic risk scores (PRSs) for nicotine metabolism predict smoking behaviors in independent data.<h4>Materials & methods</h4>Linear regression, logistic regression and survival analyses were used to analyze nicotine metabolism PRSs and nicotine metabolism, smoking quantity and smoking cessation.<h4>Results</h4>Nicotine metabolism PRSs based on two genome wide association studies (GWAS) meta-analyses significantly predicted nicotine metabolism biomarkers (R< ...[more]

PMID: 30442082

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Dataset Information

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

Aim

Materials & methods

Results

Conclusion

Publications

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

Similar Datasets

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