However, the significance was lost after correction for multiple comparisons (Bonferroni analysis), leading to a new required significance level of <0.00023.
The number of reported enriched categories showed a considerable variability among the different tools used (Table 2), although the same significance threshold (P value<0.05 after correction for multiple testing) and analysis conditions (whole genome as reference background and at least two genes from the input list in the enriched category) were applied in all analyses.
After Bonferroni correction for multiple tests, this analysis revealed significant enrichment for molecular functions in heterochromatin, including DNA binding (12 genes) and sequence-specific DNA binding (12 genes).
Analysing the many possible combinations would require very large numbers to allow correction for multiple testing, an analysis beyond the scope of this study.
For each drug class beta-blockers, Aclass beta-blockersetics, stACEns and finhibitors analyzediureticsabolic datastatinsidentify metandlites whose blood serum levels signifibrates weffer between subjects tanalyzedd notheaking the respective drug (p value smetabolican 3.39 × 10−5, the estimatedatasetficance level aftor correctidentifymetabolitessting—see " Statistical analysis").
Nevertheless, the significant values did not withstand the correction for multiple testing in the analysis of the allelic frequencies, although the P value corresponding to the analysis of genotypic frequencies still remained significant (P = 0.02 for both SNPs).
Only the TGG haplotype remained significant after correction for multiple testing by permutation analysis.
The single SNP associations found in this study did not withstand correction for multiple testing by FDR analysis (data not shown).
However, these local differences were not significant following correction for multiple comparisons via permutation analysis (P = 0.10).
After Bonferroni correction for multiple hypothesis testing, this analysis identified 794 distinct windows with significantly more insertion sites than predicted (p < 1.0E-7; Additional file 4: Table S3).
This Enrichment of Gene Ontology (GO) category was tested with a Hypergeometric test followed by the Benjamini Hochberg correction for multiple testing using the analysis tool GOToolBox [ 60].
