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Nevertheless, we cannot rule out the possibility that some of non-chromosome 6 hits may represent false positives.
Thus the predictions of regulatory influences for subcluster 2 (listed in Figure 5) are unlikely to be complete, and may represent false positive predictions.
The question then arises whether the 30% of the HPV mRNA positive cases with no confirmatory high-grade histological diagnosis actually may represent false negatives due to a small lesion or a biopsy not representing the true lesion.
These cases may represent false positive target site predictions or could point to instances where hsa-mir-548 miRNAs act through translational repression and thus do not repress mRNA expression levels.
Thus they may represent false positive findings.
Our estimate is that only 10% of predicted proteome by canonical pathways may represent false positives.
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These may represent false-positives and should be treated with caution.
Our sample size was relatively small and our data were subjected to a number of uncorrected tests, and therefore our positive results may represent false-positive findings.
It is possible that isolated anti-HBc may represent false-positive test result among populations with a low prevalence of HBV infection.
However, approximately half of the interactions obtained from high-throughput experiments may represent false-positives as estimated by Von Mering et al. Therefore, it is critical to determine whether the interactions are authentic or pseudo.
Although correction for multiple testing is not required for variants that already have strong priors of association with type 2 diabetes, the possibility exists that some of our weaker associations may represent false-positive findings.
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