Molecular Genetics of Successful Smoking Cessation

Uhl, George R.; Liu, Qingrong; Drgon, Tomás; Johnson, Catherine; Walther, Donna; Rose, Jed E.; David, Sean P.; Niaura, Ray; Lerman, Caryn

doi:10.1001/archpsyc.65.6.683

Cited by 222 publications

(113 citation statements)

References 66 publications

Supporting

Mentioning

103

Contrasting

Unclassified

Order By: Relevance

“…Kaprio, Koskenvuo, & Sarna, 1981; Madden et al, 1999; Medlund, Cederlof, Floderus-Myrhed, Friberg, & Sorensen, 1976; True et al, 1997). Moreover, several genetic polymorphisms have also been found to impact therapeutic effectiveness for nicotine use disorders (Colilla et al, 2005; Johnstone et al, 2007; Uhl et al, 2008). Genetic screening may identify individuals who will best respond to naltrexone for the reduction of problem drinking (Anton et al, 2008; Oslin et al, 2003).…”

Section: Discussionmentioning

confidence: 99%

The genetic epidemiology of substance use disorder: A review

Prom‐Wormley

Ebejer

Dick

et al. 2017

Drug and Alcohol Dependence

123

View full text Add to dashboard Cite

Background Substance use disorder (SUD) remains a significant public health issue. A greater understanding of how genes and environment interact to regulate phenotypes comprising SUD will facilitate directed treatments and prevention. Methods The literature studying the neurobiological correlates of SUD with a focus on the genetic and environmental influences underlying these mechanisms was reviewed. Results from twin/family, human genetic association, gene-environment interaction, epigenetic literature, phenome-wide association studies are summarized for alcohol, nicotine, cannabinoids, cocaine, and opioids. Results There are substantial genetic influences on SUD that are expected to influence multiple neurotransmission pathways, and these influences are particularly important within the dopaminergic system. Genetic influences involved in other aspects of SUD etiology including drug processing and metabolism are also identified. Studies of gene-environment interaction emphasize the importance of environmental context in SUD. Epigenetic studies indicate drug-specific changes in gene expression as well as differences in gene expression related to the use of multiple substances. Further, gene expression is expected to differ by stage of SUD such as substance initiation versus chronic substance use. While a substantial literature has developed for alcohol and nicotine use disorders, there is comparatively less information for other commonly abused substances. Conclusions A better understanding of genetically-mediated mechanisms involved in the neurobiology of SUD provides increased opportunity to develop behavioral and biologically based treatment and prevention of SUD.

show abstract

Section: Discussionmentioning

confidence: 99%

The genetic epidemiology of substance use disorder: A review

Prom‐Wormley

Ebejer

Dick

et al. 2017

Drug and Alcohol Dependence

123

View full text Add to dashboard Cite

show abstract

“…In none of the GWAS [57,58,59,60] a significant association was found (level of significance in GWAS is α = 5 × 10 -8 ). Also in 3 (non-GWAS) studies that included many different SNPs, no significant result was found after correction for multiple testing [61,62,63].…”

Section: Resultsmentioning

confidence: 99%

Environmental and Genomic Factors as well as Interventions Influencing Smoking Cessation: A Systematic Review of Reviews and a Proposed Working Model

Viron¹,

Malats²,

Heyden³

et al. 2013

Public Health Genomics

View full text Add to dashboard Cite

Background: Smoking behaviour is a major public health problem worldwide. Several sources have confirmed the implication of genomic factors in smoking behaviour. These factors interact both with environmental factors and interventions to develop a certain behaviour. Objectives: Describing the environmental and genomic factors as well as the interventions influencing smoking cessation (SC) and developing a working model incorporating the different factors influencing SC were our main objectives. Methods: Two systematic reviews were conducted using articles in English from the Cochrane library, PubMed and HuGENet from January 2000 to September 2012: (1) a systematic review of systematic reviews and meta-analyses and (2) a systematic review of original research for genomic factors. The proposed working model was developed by making use of previous models of SC and applying an iterative process of discussion and re-examination by the authors. Results: We confirmed the importance of the 4 main factors influencing SC: (1) environmental factors, (2) genomic factors, (3) gene-environment interactions, and (4) evidence-based interventions. The model demonstrates the complex network of factors influencing SC. Conclusion: The working model of SC proposed a global view of factors influencing SC, warranting future research in this area. Future testing of the model will consolidate the understanding of the different factors affecting SC and will help to improve interventions in this field.

show abstract

“…Association was detected between dialysis survival and polymorphisms in and near genes thought to predict successful smoking cessation: PDZRN3, PTPRM , neuregulin 1 (NRG1) , SH3-domain binding protein 4 (SH3BP4) , kelch-like 29 (KLHL29) , DEAH (Asp-Glu-Ala-His) box polypeptide 35 (DHX35) , ATP-binding cassette sub-family A member 4 (ABCA4), ephrins receptor A7 (EPHA7) , proprotein convertase subtilisin/kexin type 2 (PCSK2) , tet oncogene family member 3 (TET3) , G patch domain-containing 2 (GPATCH2) , estrogen-related receptor gamma (ESRRG) , Rap guanine nucleotide exchange factor 5 (RAPGEF5) , and Ras and Rab interactor 3 (RIN3) [20,21]. Unfortunately, our dataset lacks information pertaining to smoking history.…”

Section: Discussionmentioning

confidence: 99%

Genome-Wide Association Scan for Survival on Dialysis in African-Americans with Type 2 Diabetes

Murea¹,

Ma³

et al. 2011

Am J Nephrol

View full text Add to dashboard Cite

Background: African-Americans (AAs) with diabetes have high incidence rates of end-stage renal disease (ESRD) with associated high mortality. Genetic factors modulating the risk of mortality on dialysis are poorly understood. Methods: A genome-wide association study was performed in 610 AAs with type 2 diabetes (T2D) and ESRD on dialysis, using the Affymetrix 6.0 platform (868,155 SNPs). Time to death was assessed using Cox proportional hazards model adjusting for ancestry and other confounding variables. Cases were censored at kidney transplant or (if living) at study conclusion. Results: Mean follow-up was 5.4 ± 3.5 years; 434 deaths were recorded. Five SNPs were associated with time to death at p < 1.00 × 10^–6: rs2681019 (HR = 2.58, P_REC = 8.00 × 10^–8), rs815815 in CALM2 (HR = 1.51, P_ADD = 6.50 × 10^–7), rs926392 (HR = 2.37, P_REC = 4.80 × 10^–7), and rs926391 (HR = 2.30, P_REC = 7.30 × 10^–7) near DHX35, and rs11128347 in PDZRN3 (HR = 0.57, P_ADD = 6.00 × 10^–7). Other SNPs had nominal associations with time to death (p < 1.00 × 10^–5). Conclusion: Genetic variation may modify the risk of death on dialysis. SNPs in proximity to genes regulating vascular extracellular matrix, cardiac ventricular repolarization, and smoking cessation are associated with dialysis survival in AAs with T2D. These results warrant replication in other cohorts and races.

show abstract

Molecular Genetics of Successful Smoking Cessation

Cited by 222 publications

References 66 publications

The genetic epidemiology of substance use disorder: A review

The genetic epidemiology of substance use disorder: A review

Environmental and Genomic Factors as well as Interventions Influencing Smoking Cessation: A Systematic Review of Reviews and a Proposed Working Model

Genome-Wide Association Scan for Survival on Dialysis in African-Americans with Type 2 Diabetes

Contact Info

Product

Resources

About