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Chunk #45 — MATERIALS AND METHODS — Statistical analysis — Single nucleotide polymorphism-specific association

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Nicotinic acetylcholine receptor beta2 subunit gene implicated in a systems-based candidate gene study of smoking cessation.
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Here, g(μY) is a link function defining the specific generalized linear model. We used a logistic link for relapse outcomes at both EOT and 6-month follow-up. Thus, the corresponding effect estimates (e.g. β, γ, and δ) represent the log OR and the estimated parameter values are used to calculate the OR for the treatment of the WT genotype and the ORs for an additional risk allele. A Cox proportional hazards model was used for the time to relapse analysis. XG defined the genetic model as either additive or dominant and was mean-centered after determination of the genetic model. For all SNPs, the more common genotype was chosen as the referent. Because of the potential for small data bias, we did not examine the recessive model. For a given SNP, individuals with missing genotypes were excluded from the analysis. XTx was mean-centered and indicated if an individual received Bupropion for treatment. W defined the covariates used in the analysis with all covariates mean-centered. For our basic analysis, covariates included gender, age, and FTND. All analyses were performed among smokers who initiated