Smokescreen Translational (TL) Analysis Platform

Investigators are developing a predictive genomic test to personalize smoking cessation treatment.

Tobacco-attributable disease remains the largest potentially modifiable cause of mortality. Strategies to reduce smoking prevalence include developing more effective smoking cessation treatments. Using clinical and genomic data, investigators will develop prediction models of nicotine metabolism, nicotine dependence, and smoking cessation.

The investigators have previously designed Smokescreen®GTA, a genome-wide array that deeply captures variation in over 1,000 addiction genes, including the most important loci for nicotine metabolism and nicotine dependence. Prior research has identified multiple metabolic and regulatory genes, that with relatively few markers, can predict an individual’s nicotine metabolic activity.

In this study, researchers are developing a compact laboratory assay for genotyping DNA samples with specific markers and software to analyze clinical and genomic data (Smokescreen®TL).

Smokescreen®TL will be validated in smokers in clinical care. Ultimately, Smokescreen®TL will be available for use by health care providers interested in helping treatment seeking smokers quit.

This is a subaward with BioRealm from the National Institute on Alcohol Abuse and Alcoholism.


9/1/18 - 8/31/21


National Institute of Alcohol Abuse and Alcoholism (NIAAA)


Baurley JW, Bergen AW, Ervin CM, Park SL, Murphy SE, McMahan CS. Predicting nicotine metabolism across ancestries using genotypes. BMC Genomics. 2022 Sep;23(1):663.

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Bergen, AW, McMahan, CS, McGee, S, Ervin, CM, Tindle, HA, Le Marchand, L., Murphy, DO, Patel, YM, Park, SL, & Baurley, JW (2021) Multiethnic Prediction of Nicotine Biomarkers and Association with Nicotine Dependence. Nicotine Tob Res. 2021 Nov;23(12):2162-2169.

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Bergen AW, Do EK, Chen L-S, David SP. Tobacco genomics: Complexity and Translational Challenges. Nicotine Tob Res. 2019 Apr 21(6):705-706.

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Panagiotou OA, Schuit E, Munafò MR, Bennett DA, Bergen AW, David SP. Smoking cessation pharmacotherapy based on genetically-informed biomarkers: What is the evidence? Nicotine Tob Res. 2019 Aug;21(9):1289-1293.

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Baurley JW, McMahan CS, Ervin CM, Pardamean B, Bergen AW. Biosignature discovery for substance use disorders using statistical learning. Trends Mol Med. 2018 Feb;24(2):221-235.

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Baurley, JW, Edlund, CK, Pardamean, C,, Conti, DV, Krasnow, R, Javitz, HS, Hops H, Swan GE, Benowitz NL ... Bergen, AW. Genome-Wide Association of the Laboratory-Based Nicotine Metabolite Ratio in Three Ancestries. Nicotine Tob Res 2016 Sep;18(9):1837-44.

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