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For the original data, 9.4% of miRNAs remained significant after adjustment for multiple testing, whereas 0.08% miRNAs were discovered for the permutation tests.
The FDR approach takes into account the possibility that false significant findings could result from multiple testing, whereas an inflation of statistics resulting from technical artifacts or poor study design would be treated as a true signal.
The ED-biased genes, on the other hand, showed significant enrichments of 452 GO terms after correction for multiple testing, whereas d N-biased genes were enriched for 78 terms (supplementary table S2, Supplementary Material online).
During the SBo intervention, lowering trends of serum apolipoprotein B, total and LDL cholesterol, and IDL and LDL subclasses and very small VLDL were observed in group B. None of the individual changes in group B during the SBo intervention were significant after adjustment for multiple testing, whereas in group A, the albumin concentration was decreased significantly (P < 0.0028).
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We observed skewed segregation ratios throughout much of the genome: Markers on most of Chromosomes I and VII and approximately half of Chromosome III were significantly skewed towards A91 alleles (not accounting for multiple tests), whereas markers on most of Chromosome IV and part of Chromosome VI were significantly skewed towards A4 alleles (Fig. 1B).
In contrast, ovary-specific genes are significantly overrepresented on the X at all three τ cutoffs after correcting for multiple tests, whereas accessory gland-specific genes are significantly underrepresented on the X (table 1 and supplementary table S2, Supplementary Material online).
For example, at the genus level, there may be 1,000 tests performed, requiring a high level of significance to pass multiple testing correction, whereas at the phylum level, only 10 tests may be performed, requiring a less stringent threshold for significance.
Since GeneSign performs that test over many genes (usually thousands of genes), the probability to declare that a gene is significant, whereas it is not, increases (multiple testing effect).
However, the economic burden of genetic testing could potentially be much lower, since this should only be determined once, whereas PSA levels fluctuate over time and often require multiple testing.
However, whereas studies of large numbers of genes incorporate corrections for multiple testing, we did not test separate independent hypotheses.
We did not correct for multiple testing.
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