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CYP2C19 polymorphism plays an important role in this variability, but heritability estimates suggest that additional genetic variants remain unidentified.
Despite the obvious limitations, this study offers a unique method of calculating the learning curve associated with ONSD utilizing a new definition of reliability by looking at within-subject variability and a unique statistical model to calculate the plateau in this variability.
However, even if these measurements are not identical [and our results would substantiate this since there still is some within-subject variability remaining even after the plateau (Fig. 2)] the plateau in this variability may still represent a useful definition of reliability.
Mothers' influences are one of the non-genetic factors that play a fundamental role in this variability.
Recent research suggests that the microbiota might play an important part in this variability.
It has been mentioned that the pharmacogenetic variations may explain 30-50 percent in this variability [ 1, 2].
Similar(41)
Therefore, the scores on functionality assessments have to be interpreted bearing in mind this variability in children [ 46].
In the case of following TH responses in tadpoles, this variability could be due to variations in endogenous TR levels.
Discharge varied up to one order of magnitude across the stream and the model was successful in capturing this variability.
In contrast, this variability was much as expected among mothers.
Lifetimes of mRNA and proteins are key in modulating this variability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com