Under a noncausal model, where shared underlying genetic factors explain the association, the expectation for a general population sample is the same (OR > 1), but in MZ twins the OR is expected

to be smaller, because MZ twins are exposed to the same genetic risk factors, and should therefore have the same genetic risk of trait A regardless of the presence of trait B. DZ twins will show an intermediate pattern (Fig. 2A). For this analysis, anxious depression was dichotomized; individuals in the highest scoring quartile were treated as cases, the lowest 3 quartiles were treated as controls. A “general population” sample was obtained by randomly selecting 1 individual from each family in the NTR sample (total N = 12,303), excluding the discordant twins. The sample included 358 MZ and 418 DZ pairs discordant for anxious depression, and 454 MZ and 510 DZ pairs discordant for migraine. The general Small molecule library cell assay population sample consisted of 2838 unrelated individuals. ORs were calculated in SPSS 17. Four classes of individuals were identified, based on the patterns of reported migraine symptoms. The 4-class LCA model provided a better fit to the data (BIC = 60,139.87) than a 3- or a 5-class model (with a BIC of 60,185.03 and 60,233.40, respectively). Figure 3

shows the pattern of symptoms in each class. The 2 most severe classes were treated as affected for migrainous headache, the remaining individuals were treated as unaffected. 3-MA price In the twin sample used in all MCE subsequent analyses, 14% of the male and 35% of the female participants were classified as affected, which is comparable with the combined prevalence of migraine and probable migraine, according to IHS criteria.18 A clear comorbidity of migraine and depression was observed, with a migraine prevalence of 20% in the lowest

anxious depression quartile and 43% in the highest scoring quartile. The phenotypic correlation between migraine and anxious depression was estimated at 0.28 (95% CI = 0.20-0.36). Table 2 shows an overview of the correlations across twins and traits. The twin correlations for both migraine and anxious depression were clearly higher in MZ than DZ twins, reflecting genetic influences on both traits. Genetic modeling results indicated that the variance in migraine could be explained by a combination of genetic (45%) and nonshared environmental factors (55%). For anxious depression, genetic factors explained 55% and nonshared environment explained 45% of the variance. The cross-twin cross-trait correlations were also higher in MZ than DZ twins, suggesting the correlation between migraine and anxious depression is at least partly explained by genetic influences. Most of the covariance between the 2 traits was indeed explained by shared genetic factors (54%), while nonshared environment was responsible for the remaining covariance (46%). The genetic correlation (rG) between anxious depression and migraine was estimated at 0.30 (95% CI = 0.18-0.