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Under a multiplicative model of disease causation, the GSRs for a locus are the genotypic risks in probands for that locus multiplied by λR/λjR, where λR is Risch's recurrence risk ratio and λjR is the contribution to λR from the locus of interest.
By means of logistic regression we also estimated the effect size for SNP rs28936, corresponding to an odds ratio of 2.07 (1.4 3.1 95% CI) for the A allele of this SNP, under a multiplicative model.
For the European study sample, genotype and allele frequencies were compared using logistic regression analysis under a multiplicative model (i.e. two alleles contribute twice the effect of one allele), with test statistic (Chi-squared, χ2), odds ratio (OR), 95% confidence intervals (CI) and P values used to evaluate significance of an association.
Risch [ 3] predicted this relationship to be 1 under a multiplicative model.
This risk decrease was not linear, suggesting rather a synergistic interaction of MetS components under a multiplicative model.
However, there was no evidence of association under a multiplicative model for the effect of each minor allele.
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This observation extends to the AI test: when a dominant/recessive regression model is used (see Methods) the power is lower than when using a multiplicative model, even for data simulated under a dominant/recessive model.
We also tested for rare allele dose effect (assuming a multiplicative model).
The Log Normal is a multiplicative model.
This assumes a multiplicative model for the combined SNP associations.
Throughout the analyses a multiplicative model was used.
More suggestions(15)
under a single model
under a multiplicative interaction
under a probabilistic model
under a multiplicative fitness
under a militaristic model
under a complex model
under a special model
under a dominant model
under a stochastic model
under a curatorial model
under a coalescent model
under a null model
under a Chinese model
under a statistical model
under a corporate model
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