AI Article Synopsis

  • The study looked at how common genetic variations affect smoking behaviors in two large groups of participants, totaling over 4,600 individuals.
  • The research analyzed seven different smoking-related measures, including how many cigarettes smoked per day and the age at which individuals began smoking, but found no SNPs that were significantly linked to smoking behaviors on a genome-wide scale.
  • However, specific regions like chr15q25.1 were associated with smoking intensity, and several genes, including CHRNA3, CHRNA5, and MAOA, showed potential links to various smoking measures, suggesting that some genetic factors are worth investigating further.

Article Abstract

The contribution of common genetic variation to one or more established smoking behaviors was investigated in a joint analysis of two genome wide association studies (GWAS) performed as part of the Cancer Genetic Markers of Susceptibility (CGEMS) project in 2,329 men from the Prostate, Lung, Colon and Ovarian (PLCO) Trial, and 2,282 women from the Nurses' Health Study (NHS). We analyzed seven measures of smoking behavior, four continuous (cigarettes per day [CPD], age at initiation of smoking, duration of smoking, and pack years), and three binary (ever versus never smoking, < or = 10 versus > 10 cigarettes per day [CPDBI], and current versus former smoking). Association testing for each single nucleotide polymorphism (SNP) was conducted by study and adjusted for age, cohabitation/marital status, education, site, and principal components of population substructure. None of the SNPs achieved genome-wide significance (p<10(-7)) in any combined analysis pooling evidence for association across the two studies; we observed between two and seven SNPs with p<10(-5) for each of the seven measures. In the chr15q25.1 region spanning the nicotinic receptors CHRNA3 and CHRNA5, we identified multiple SNPs associated with CPD (p<10(-3)), including rs1051730, which has been associated with nicotine dependence, smoking intensity and lung cancer risk. In parallel, we selected 11,199 SNPs drawn from 359 a priori candidate genes and performed individual-gene and gene-group analyses. After adjusting for multiple tests conducted within each gene, we identified between two and five genes associated with each measure of smoking behavior. Besides CHRNA3 and CHRNA5, MAOA was associated with CPDBI (gene-level p<5.4x10(-5)), our analysis provides independent replication of the association between the chr15q25.1 region and smoking intensity and data for multiple other loci associated with smoking behavior that merit further follow-up.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2644817PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0004653PLOS

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