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Review
. 2018 Mar 6;20(4):414-424.
doi: 10.1093/ntr/ntx097.

Leveraging Genomic Data in Smoking Cessation Trials in the Era of Precision Medicine: Why and How

Li-Shiun Chen  1 , Laurie Zawertailo  2 , Thomas M Piasecki  3 , Jaakko Kaprio  4 , Marilyn Foreman  5 , Hannah R Elliott  6 , Sean P David  7 , Andrew W Bergen  8 , James W Baurley  8 , Rachel F Tyndale  9 , Timothy B Baker  10 , Laura J Bierut  1 , Nancy L Saccone  11 ; Genetics and Treatment Workgroup of the Society for Research on Nicotine and Tobacco (SRNT)
Affiliations
Review

Leveraging Genomic Data in Smoking Cessation Trials in the Era of Precision Medicine: Why and How

Li-Shiun Chen et al. Nicotine Tob Res. .

Abstract

This article outlines a framework for the consistent integration of biological data/samples into smoking cessation pharmacotherapy trials, aligned with the objectives of the recently unveiled Precision Medicine Initiative. Our goal is to encourage and provide support for treatment researchers to consider biosample collection and genotyping their existing samples as well as integrating genetic analyses into their study design in order to realize precision medicine in treatment of nicotine dependence.

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Figures

Figure 1.
Figure 1.
Biological systems multi-omics from the genome, epigenome, transcriptome, proteome and metabolome to the phenome. SNP, single-nucleotide polymorphism; CNV, copy number variation; miRNA, micro RNA.
Figure 2.
Figure 2.
Example: Benefits of nicotine replacement therapy may vary by genetic marker. Blue: patients who benefit; Clear: patients who fail to benefit,, both studies of European Ancestry.
Figure 3.
Figure 3.
Pharmacogenomic trial designs, including retrospective, prospective stratified, and prospective screened. Source: Adapted from Lerman, IOM workshop presentation on November 17, 2010.
See this image and copyright information in PMC

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