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These results are highly significant even when adjusting for multiple testing in MAPPFinder (Adjusted p-value).
However, after adjusting for multiple testing these associations were borderline with an adjusted P-trend=0.068 P-trend=0.068signiforantheNP (rs2854344).
It should be noted that only one of the tested SNPs (rs932335 in HSD11B1) would be statistically significant after adjusting for multiple testing using the Bonferroni method.
However, these SNPs may not be significant after adjusting for multiple testing.
No other SNP was differentially associated with tumor grade or stage after adjusting for multiple testing.
After adjusting for multiple testing, no other SNP was associated with clinical sub-types.
These results were not significant at the 5% level after adjusting for multiple testing.
The only other significant pathway after adjusting for multiple testing is MAPK signaling, which is downregulated in the 'D' group.
Furthermore, Ardell [35] wrote a program for performing neutrality test in a sliding window analysis by adjusting for multiple testing.
As the tSNPs are correlated, the test statistics are not independent, and standard methods for adjusting for multiple testing, such as the Bonferroni correction, are too conservative.
After adjusting for multiple testing, no SNP showed significant statistical interaction with any of the non-genetic factors tested (Table S3 and Table S4).
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CEO of Professional Science Editing for Scientists @ prosciediting.com