@article{5d260b6de5ee4c42ac146897311e83ce,
title = "Are genetic variants for tobacco smoking associated with cannabis involvement?",
abstract = "Background: Cannabis users are highly likely to also be tobacco cigarette smokers and a proportion of this comorbidity is attributable to shared genetic influences. Three large meta-analyses of genomewide association studies (GWAS) of tobacco smoking have identified multiple genomewide significant (p<5×10-8) single nucleotide polymorphisms (SNPs). We examine whether these SNPs are associated with tobacco smoking and with cannabis involvement in an independent sample. Method: Eleven SNPs associated with cigarettes per day (CPD), ever versus never smoking and current smoking/smoking cessation at p<5×10-8 were selected from three published meta-analyses. Association analyses were conducted with similar tobacco smoking measures in 2716 European-American subjects from the Study of Addictions Genes and Environment (SAGE) and with lifetime and current cannabis use and DSM-IV cannabis abuse/dependence. Results: Cannabis use and tobacco smoking correlated at 0.54. Rs16969968 in CHRNA5 (and its proxy, rs1051730 in CHRNA3) and rs1451240, a proxy for rs13280604 in CHRNB3, were associated with CPD after Bonferroni correction (p<. 0.006). rs1451240 was also associated with DSM-IV cannabis abuse/dependence. Rs6265 in BDNF was associated with smoking initiation, as in the original meta-analysis and also with lifetime cannabis use. Associations with cannabis involvement were no longer significant upon adjustment for the tobacco smoking measures. Conclusions: The modest associations between cannabis involvement and SNPs for tobacco smoking were not independent of the comorbidity between tobacco and cannabis involvement. Larger samples of individuals might be required to articulate the specific genetic architecture of cannabis involvement.",
keywords = "Cannabis, Chrna5, Tobacco",
author = "Arpana Agrawal and Lynskey, {Michael T.} and Manav Kapoor and Bucholz, {Kathleen K.} and Edenberg, {Howard J.} and Marc Schuckit and Andrew Brooks and Victor Hesselbrock and John Kramer and Nancy Saccone and Jay Tischfield and Bierut, {Laura J.}",
note = "Funding Information: Funding sources did not participate in the preparation or writing of this study. R01DA23668 and K02DA32573 (AA); K02DA021237 (LJB); R01DA026911 (NLS); funding support for the Study of Addiction: Genetics and Environment (SAGE) was provided through the NIH Genes, Environment and Health Initiative [GEI] ( U01 HG004422 ). SAGE is one of the genome-wide association studies funded as part of the Gene Environment Association Studies (GENEVA) under GEI. Assistance with phenotype harmonization and genotype cleaning, as well as with general study coordination, was provided by the GENEVA Coordinating Center ( U01 HG004446 ). Assistance with data cleaning was provided by the National Center for Biotechnology Information. Support for collection of datasets and samples was provided by the Collaborative Study on the Genetics of Alcoholism (COGA; U10 AA008401 ), the Collaborative Genetic Study of Nicotine Dependence (COGEND; P01 CA089392 ), and the Family Study of Cocaine Dependence (FSCD; R01 DA013423, R01 DA019963 ). Funding support for genotyping, which was performed at the Johns Hopkins University Center for Inherited Disease Research, was provided by the NIH GEI ( U01HG004438 ), the National Institute on Alcohol Abuse and Alcoholism , the National Institute on Drug Abuse , and the NIH contract “ High throughput genotyping for studying the genetic contributions to human disease ” ( HHSN268200782096C ). Publisher Copyright: {\textcopyright} 2015 Elsevier Ireland Ltd.",
year = "2015",
month = may,
day = "1",
doi = "10.1016/j.drugalcdep.2015.02.029",
language = "English",
volume = "150",
pages = "183--187",
journal = "Drug and Alcohol Dependence",
issn = "0376-8716",
}