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Between-group data for continuous variables were analyzed using the t-test for 2 independent samples.
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For the comparisons between the four methods, continuous variables were analyzed using a mixed model after square-root transformation of the variables that were not normally distributed.
Categorical variables were analyzed using χ2 tests and Fisher exact tests for variables with expected values of <5, whereas continuous variables were analyzed using Student t tests.
Continuous variables were analyzed using Spearman partial correlation, adjusted for ethnicity, sex, and age.
For bivariate analyses, categorical variables were compared using χ-square tests, and continuous variables were analyzed using two-tailed t-tests and ANOVA.
Continuous variables were analyzed using the baseline adjusted ANCOVA model as for the primary outcome.
Between-group continuous variables were analyzed using a two-tailed Mann–Whitney U Test for non-parametrically distributed data.
Continuous variables were analyzed using Student t-test.
Continuous variables were analyzed using the Student's t test.
Correlations between categorical variables and continuous variables were analyzed using the Spearman's rank correlation test.
Single-SNP effects with continuous variables were analyzed using linear regression using three models.
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