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Smoking quit success genotype score predicts quit success and distinct patterns of developmental involvement with common addictive substances
Genotype scores that predict relevant clinical outcomes may detect other disease features and help direct prevention efforts. We report data that validate a previously-established v1.0 smoking cessation quit success genotype score and describe striking differences in the score in individuals who dis...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922203/ https://www.ncbi.nlm.nih.gov/pubmed/23128154 http://dx.doi.org/10.1038/mp.2012.155 |
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author | Uhl, George R Walther, Donna Musci, Rashelle Fisher, Christian Anthony, James C Storr, Carla L Behm, Frederique M. Eaton, William W Ialongo, Nicholas Rose, Jed E. |
author_facet | Uhl, George R Walther, Donna Musci, Rashelle Fisher, Christian Anthony, James C Storr, Carla L Behm, Frederique M. Eaton, William W Ialongo, Nicholas Rose, Jed E. |
author_sort | Uhl, George R |
collection | PubMed |
description | Genotype scores that predict relevant clinical outcomes may detect other disease features and help direct prevention efforts. We report data that validate a previously-established v1.0 smoking cessation quit success genotype score and describe striking differences in the score in individuals who display differing developmental trajectories of use of common addictive substances. In a cessation study, v1.0 genotype scores predicted ability to quit with p = 0.00056 and area under ROC curve 0.66. About 43 vs 13% quit in the upper vs lower genotype score terciles. Latent class growth analyses of a developmentally-assessed sample identified three latent classes based on substance use. Higher v1.0 scores were associated with a) higher probabilities of participant membership in a latent class that displayed low use of common addictive substances during adolescence (p = 0.0004) and b) lower probabilities of membership in a class that reported escalating use (p = 0.001). These results suggest that: a) we have identified genetic predictors of smoking cessation success, b) genetic influences on quit success overlap with those that influence the rate at which addictive substance use is taken up during adolescence and c) individuals at genetic risk for both escalating use of addictive substances and poor abilities to quit may provide especially urgent focus for prevention efforts. |
format | Online Article Text |
id | pubmed-3922203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
record_format | MEDLINE/PubMed |
spelling | pubmed-39222032014-07-01 Smoking quit success genotype score predicts quit success and distinct patterns of developmental involvement with common addictive substances Uhl, George R Walther, Donna Musci, Rashelle Fisher, Christian Anthony, James C Storr, Carla L Behm, Frederique M. Eaton, William W Ialongo, Nicholas Rose, Jed E. Mol Psychiatry Article Genotype scores that predict relevant clinical outcomes may detect other disease features and help direct prevention efforts. We report data that validate a previously-established v1.0 smoking cessation quit success genotype score and describe striking differences in the score in individuals who display differing developmental trajectories of use of common addictive substances. In a cessation study, v1.0 genotype scores predicted ability to quit with p = 0.00056 and area under ROC curve 0.66. About 43 vs 13% quit in the upper vs lower genotype score terciles. Latent class growth analyses of a developmentally-assessed sample identified three latent classes based on substance use. Higher v1.0 scores were associated with a) higher probabilities of participant membership in a latent class that displayed low use of common addictive substances during adolescence (p = 0.0004) and b) lower probabilities of membership in a class that reported escalating use (p = 0.001). These results suggest that: a) we have identified genetic predictors of smoking cessation success, b) genetic influences on quit success overlap with those that influence the rate at which addictive substance use is taken up during adolescence and c) individuals at genetic risk for both escalating use of addictive substances and poor abilities to quit may provide especially urgent focus for prevention efforts. 2012-11-06 2014-01 /pmc/articles/PMC3922203/ /pubmed/23128154 http://dx.doi.org/10.1038/mp.2012.155 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Uhl, George R Walther, Donna Musci, Rashelle Fisher, Christian Anthony, James C Storr, Carla L Behm, Frederique M. Eaton, William W Ialongo, Nicholas Rose, Jed E. Smoking quit success genotype score predicts quit success and distinct patterns of developmental involvement with common addictive substances |
title | Smoking quit success genotype score predicts quit success and distinct patterns of developmental involvement with common addictive substances |
title_full | Smoking quit success genotype score predicts quit success and distinct patterns of developmental involvement with common addictive substances |
title_fullStr | Smoking quit success genotype score predicts quit success and distinct patterns of developmental involvement with common addictive substances |
title_full_unstemmed | Smoking quit success genotype score predicts quit success and distinct patterns of developmental involvement with common addictive substances |
title_short | Smoking quit success genotype score predicts quit success and distinct patterns of developmental involvement with common addictive substances |
title_sort | smoking quit success genotype score predicts quit success and distinct patterns of developmental involvement with common addictive substances |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922203/ https://www.ncbi.nlm.nih.gov/pubmed/23128154 http://dx.doi.org/10.1038/mp.2012.155 |
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