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Since only models 1 and 2 will be performed for these outcomes, there will be 160 regression analyses for each. Added to the 240 analyses for IQ, de novo results from 560 regression analyses (performed automatically by the scripts provided) will be obtained from studies that contribute to all analyses. Sample size calculation Sample size Mianserin HCl requirements to detect a FADS2-breastfeeding interaction were evaluated through simulations (5000 simulations per combination of parameters) using R V.3.2.4. The following parameters were evaluated: Prevalence of ever being breastfed: 85% and 95%. These values are based on the estimates recently provided by Victora et al4 for high-income countries and for countries in all other income groups, respectively. Prevalence of the GG genotype: 7.2% and 12.9%. These values were obtained from the 1000 Genomes (phase 3) Project Browser for the rs174575 and rs1535 SNPs (respectively) in European populations. Mean difference in IQ according to FADS2 polymorphism among individuals never breastfed, comparing GG individuals Epigenetic animal study with non-G carriers: ?2.15, ?4.3 and ?8.6. The intermediate value (?4.3) corresponds to the results from Steer et al20 which is the largest study that evaluated the FADS2-breastfeeding interaction on IQ to date. The remaining values correspond to half and twice the effect reported by Steer et al, and were used to evaluate sample size requirements in case of weaker and stronger FADS2 effects. Mean difference in IQ according to FADS2 polymorphism among ever breastfed individuals: zero and half the effect in the never breastfed group. Lack of FADS2 effect among ever breastfed individuals correspond to the DHA hypothesis described above. Sample size (10?000, 12?500, 15?000, 17?500 and 20?000 individuals). All possible combinations of the above parameters correspond to 120 simulation scenarios. In all of them, the outcome variable was normally distributed (mean=100 and SD=10) and FADS2 and breastfeeding were independent. p Values for the interaction coefficient were obtained from linear regression models (two-sided t tests). Power was defined as the proportion of tests with pAlectinib nmr simulation scenarios, power was