GRONS: a comprehensive genetic resource of nicotine and smoking

Abstract Nicotine, the primary psychoactive component in tobacco, can exert a broad impact on both the central and peripheral nervous systems. During the past years, a tremendous amount of efforts has been put to exploring the molecular mechanisms underlying tobacco smoking related behaviors and diseases, and many susceptibility genes have been identified via various genomic approaches. For many human complex diseases, there is a trend towards collecting and integrating the data from genetic studies and the biological information related to them into a comprehensive resource for further investigation, but we have not found such an effort for nicotine addiction or smoking-related phenotypes yet. To collect, curate, and integrate cross-platform genetic data so as to make them interpretable and easily accessible, we developed Genetic Resources Of Nicotine and Smoking (GRONS), a comprehensive database for genes related to biological response to nicotine exposure, tobacco smoking related behaviors or diseases. GRONS deposits genes from nicotine addiction studies in the following four categories, i.e. association study, genome-wide linkage scan, expression analysis on genes/proteins via high-throughput technologies, as well as single gene/protein-based experimental studies via literature search. Moreover, GRONS not only provides tools for data browse, search and graphical presentation of gene prioritization, but also presents the results from comprehensive bioinformatics analyses for the prioritized genes associated with nicotine addiction. With more and more genetic data and analysis tools integrated, GRONS will become a useful resource for studies focusing on nicotine addiction or tobacco smoking. Database URL: http://bioinfo.tmu.edu.cn/GRONS/

[1]  Sally Murray A smouldering epidemic , 2006, Canadian Medical Association Journal.

[2]  Margit Burmeister,et al.  New insights into the genetics of addiction , 2009, Nature Reviews Genetics.

[3]  Caryn Lerman,et al.  Genetics and Drug Use as a Complex Phenotype , 2004, Substance use & misuse.

[4]  Ming D. Li,et al.  Genes and Pathways Co-associated with the Exposure to Multiple Drugs of Abuse, Including Alcohol, Amphetamine/Methamphetamine, Cocaine, Marijuana, Morphine, and/or Nicotine: a Review of Proteomics Analyses , 2011, Molecular Neurobiology.

[5]  R. Tyndale,et al.  Overview of the pharmacogenomics of cigarette smoking , 2007, The Pharmacogenomics Journal.

[6]  R. Peto,et al.  Global effects of smoking, of quitting, and of taxing tobacco. , 2014, The New England journal of medicine.

[7]  Ming D. Li,et al.  A meta-analysis of estimated genetic and environmental effects on smoking behavior in male and female adult twins. , 2003, Addiction.

[8]  Ming D. Li,et al.  Converging Findings from Linkage and Association Analyses on Susceptibility Genes for Smoking and Other Addictions , 2016, Molecular Psychiatry.

[9]  Caryn Lerman,et al.  Molecular genetics of successful smoking cessation: convergent genome-wide association study results. , 2008, Archives of general psychiatry.

[10]  M. Lynskey,et al.  The genetics of tobacco use: methods, findings and policy implications , 2002, Tobacco control.

[11]  Joel Gelernter,et al.  Meta-Analysis of 15 Genome-Wide Linkage Scans of Smoking Behavior , 2010, Biological Psychiatry.

[12]  A. Stromberg,et al.  Harnessing the power of gene microarrays for the study of brain aging and Alzheimer's disease: Statistical reliability and functional correlation , 2005, Ageing Research Reviews.

[13]  Feng Cheng,et al.  Pathways and Networks-Based Analysis of Candidate Genes Associated with Nicotine Addiction , 2015, PloS one.

[14]  R. Tyndale,et al.  Implications of CYP2A6 Genetic Variation for Smoking Behaviors and Nicotine Dependence , 2005, Clinical pharmacology and therapeutics.

[15]  Marcus R Munafò,et al.  Genetics and smoking cessation improving outcomes in smokers at risk. , 2007, American journal of preventive medicine.

[16]  Gail P Jarvik,et al.  Multiple genome-wide analyses of smoking behavior in the Framingham Heart Study , 2003, BMC Genetics.

[17]  Ming D. Li Identifying susceptibility loci for nicotine dependence: 2008 update based on recent genome-wide linkage analyses , 2008, Human Genetics.

[18]  Ming D. Li,et al.  Common and Unique Biological Pathways Associated with Smoking Initiation/Progression, Nicotine Dependence, and Smoking Cessation , 2010, Neuropsychopharmacology.

[19]  Scott F. Saccone,et al.  Novel genes identified in a high-density genome wide association study for nicotine dependence. , 2007, Human molecular genetics.

[20]  Lihua Zhang,et al.  Prioritizing Genes Related to Nicotine Addiction Via a Multi-source-Based Approach , 2014, Molecular Neurobiology.

[21]  Kari Clase,et al.  A Survey of Scholarly Literature Describing the Field of Bioinformatics Education and Bioinformatics Educational Research , 2014, CBE life sciences education.

[22]  G. Uhl,et al.  Molecular genetics of nicotine dependence and abstinence: whole genome association using 520,000 SNPs , 2007, BMC Genetics.

[23]  R. Tyndale,et al.  Genetics of alcohol and tobacco use in humans , 2003, Annals of medicine.

[24]  J R Hughes,et al.  Antidepressants for smoking cessation. , 2007, The Cochrane database of systematic reviews.

[25]  Ming D. Li,et al.  Time-dependent changes in transcriptional profiles within five rat brain regions in response to nicotine treatment. , 2004, Brain research. Molecular brain research.

[26]  Michael C Neale,et al.  Candidate genes for nicotine dependence via linkage, epistasis, and bioinformatics , 2004, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[27]  Prabhat Jha,et al.  Avoidable global cancer deaths and total deaths from smoking , 2009, Nature Reviews Cancer.

[28]  T. Manolio,et al.  How to Interpret a Genome-wide Association Study Topic Collections , 2022 .

[29]  Nicholas G Martin,et al.  Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs. , 2007, Human molecular genetics.

[30]  S S Smith,et al.  The epidemiology of tobacco use, dependence, and cessation in the United States. , 1999, Primary care.

[31]  Phoebe M. Roberts,et al.  Mining literature for systems biology , 2006, Briefings Bioinform..