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Both study populations we used in this study have been used for genome-wide association analyses of MDD [ 32, 33].
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Since head injury and cigarette smoking are two previously implicated environmental risk factors that are more common in military than civilian study populations, we tested their association with ALS in a US veteran study population.We used logistic regression to examine the association of ALS with head injury and cigarette smoking in 241 incident cases and 597 controls.
Due to the heterogeneity of study populations, we did not perform a meta-analysis.
Having derived the primary study populations, we further selected studies so as to be more or less disjoint.
Given the heterogeneity of the study populations, we used random effects models, providing more conservative effect estimates.
In support of the hypothesized differences in mating histories among our study populations, we found that population-mean autofertility was negatively associated with population-mean ASD (Fig. 1).
If the homogeneity test did not indicate different associations across the study populations, we computed common estimates across all four study populations.
Because of the small number of studies and their different study populations, we did not feel that it was appropriate to provide overall estimates of efficacy.
To account for differences between the MAS and KOPS study populations, we included an additional interaction term for age and study.
Owing to the small number of minority participants in the study populations, we restricted the analysis of SNPs to Caucasians (non-Hispanic whites) in this study.
Given the heterogeneity of our study population we were able to include both men and women who had suffered an osteoporotic fracture however few men were admitted during the study period.
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