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Chunk #6 — Measures — Genotypes and aggregate genetic risk score

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Predictors of relapse in a bupropion trial for smoking cessation in recently-abstinent alcoholics: preliminary results using an aggregate genetic risk score.
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The simple count method was utilized to calculate the AGRS as the meta-analyses typically used for determining relative weights (e.g.,23) are not available in the bupropion literature. Assumptions inherent to the count method include an additive genetic model and equivalent effects of each polymorphism on smoking cessation outcome. This AGRS model also does not allow for epistatic effects. For each identified polymorphism, a participant was given a risk allele score of 0, 1, or 2 corresponding to the number of putative risk alleles they possess. The risk allele scores across each of the four candidate genes were summed to create an AGRS following methods described in24 (ie, AGRS = [sum of risk allele scores/ number of non-missing genotypes × 2] × 8).