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The associations for individual POPs shown in the Supplemental Material were not corrected for multiple test corrections and therefore should be treated with caution.
The statistical analysis used was an ANOVA (with Bonferroni multiple comparison test corrections); a value of p<0.004 was accepted as significant.
An ANOVA model, using strain, condition and batch as co-factors, was used to generate raw p values, while FDR was used for multiple test corrections.
Using a rigorous statistical approach with multiple test corrections, we showed a significant effect of platelets on gene expression in HBEC.
An ANOVA model, using strain, condition and batch as co-factors, was used to generate raw p values, while FDR was used for multiple test corrections [88].
The evaluation of the genetic association tests took into account that the sample size limited the resilience to multiple test corrections.
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A multiple test correction with Bonferroni procedure was performed.
The multiple hypothesis test correction in this case is a Bonferroni correction [16].
The most restrictive multiple hypothesis test correction is the Bonferroni correction.
Benjamini-Hochberg adjustment was applied for multiple test correction.
No multiple test correction has been applied to the p-values.
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