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Comparisons of measured mtDNA mutation level variance values have become an important issue in determining the mechanisms that cause these large random shifts in mutation level.
This is a highly personal account of making decisions on basis of prenatal diagnostic information, specifically the identification of a mutation level of 68%.
We discuss how the standard error of variance can be used in the design of experiments measuring mtDNA mutation level variance.
We calculate variance error bars for several published sets of measurements of mtDNA mutation level variance and show how the addition of the error bars alters the interpretation of these experimental results.
In addition, assessment of reproductive risk allows informed reproductive choice (Ten Kate 2012) but it also holds the potential to reveal unrequested information, including the woman's own mutation level, in which case concerns might be raised about presymptomatic testing (Skirton et al. 2013).
We compare variance measurements from human clinical data and from mouse models and show that the mutation level variance is clearly higher in the human data than it is in the mouse models at both the primary oocyte and offspring stages of inheritance.
Similar(11)
Despite the potential for high viral mutation levels, the operation of purifying selection appears to effectively constrain lyssavirus evolution.
We aim to find the best framework configuration (generation and population, mutation levels, crossover levels) according to given data set context.
Which genetic framework configuration (generation and population, mutation levels, crossover levels) did report the best performance when compared to the baseline exhaustive framework?
This unique study design allows us to bypass the usual heteroplasmy limitation by analyzing the correlation of mutation levels at each position in the mtDNA sequence between maternally related pairs and non-related pairs.
On the basis of these findings, we propose that cSMART displays the diagnostic hallmarks of a comprehensive plasma genotyping assay, with potential application for precisely monitoring changes in plasma mutation levels in response to targeted drug therapy.
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