an imputation information score greater than 0.9. We used a Bayesian, additive test with the score method to measure evidence for association and we report the Bayes factor comparing the models of association and no association. We assumed the default priors of SNPTEST for the analysis, namely the standard normal for the intercept and a normal distribution with mean = 0 and standard deviation = 0.2 for the genotypes (which were coded as 0, 1 or 2 for the minor homozygous, heterozygous and major homozygous sites respectively). Gender had a normal prior as well, with mean = 0 and variance = 1000. Under the assumption of a single associated variant in the region, the Bayes factor for a variant is a proportional (under weak assumptions) to the posterior probability that it is driving the association. The conditional analysis was performed in the same way, including the genotype at rs1800693 as an additional covariate (with an additive effect).
