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Individual ancestry estimates were assessed using an unsupervised assignment of individuals to populations by means of STRUCTURE 2.2 [48].
p-Values for the heritability estimates were assessed using a Bonferroni-corrected p threshold (0.05/4,924 or 4,787 = 1.0 × 10 5).
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Heterogeneity between the risk estimates was assessed using unadjusted logistic regression models in case-case analyses.
Statistical significance of the differences in Kaplan-Meier estimates was assessed using the log-rank test.
Statistical significance of Fst estimates was assessed using software Arlequin with 10,000 permutations.
The significance of these estimates was assessed using 10,000 data permutations corrected by Bonferroni adjustment [ 86].
The significance of parameter estimates was assessed using 95% Bayesian credibility intervals.
The significance of parameter estimates was assessed using the Wald test.
The heterogeneity of cohort-specific estimates was assessed using the Q statistic, and data are presented as forest plots.
Goodness of fit of parameter estimates was assessed using 85%% confidence intervals and Ω02 for the global model [ 34, 35].
Heterogeneity of the risk estimates was assessed using the Q- and I-statistics (Higgins and Thompson, 2002).
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