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It is more and more accepted that with the advent of new quantitative digital PCR technologies it is much more likely to detect small miRNA differences [ 27, 28].
gFOBT is less likely to detect small adenomas, flat or sessile adenomas, and proximal lesions than larger, pedunculated, or distal ones [ 27].
Oligonucleotides, which are much smaller probes, usually 25 60 bp, may detect small alterations that would not be seen using a BAC microarray, but oligonucleotide arrays are more likely to detect small alterations of unclear clinical significance.
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Anecdotal evidence for lagged invasions exists, although recent experimental studies suggest that lags are likely caused by our reduced ability to detect small introduced populations, rather than actual periods of no population growth [31].
These null associations likely reflect a lack of power to detect small effects within our study as the subsample within which hearing data were available at 61 to 63 years of age is relatively small.
One other limitation of the study is that the number of psychiatric diagnoses in the sample was relatively small, making it likely that we lacked sufficient power to detect small effects.
The latter is likely due to insufficient sample sizes to detect small effects, a nearly exclusive focus on populations of European descent, an imperfect capture of infrequent genetic variants, an incomplete ascertainment of alternate (non-SNP) forms of genetic variation, and the limited exploration of additional genetic models, including those involving GEI.
This was likely due to the study being underpowered to detect small group differences.
Given that only a subset of the total RIL population was used for this study, the ability to detect small effect QTL was likely to be limited as population size has been demonstrated to limit the sensitivity of QTL detection.
The lack of impact after adjustment likely reflects that they are relatively blunt instruments to detect small changes in behaviour over time.
One reason for this may be that these are not sensitive enough to detect small changes in health outcomes which telemedicine services most likely produce.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com