2008
DOI: 10.1371/journal.pone.0002876
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Mathematical Analysis of Copy Number Variation in a DNA Sample Using Digital PCR on a Nanofluidic Device

Abstract: Copy Number Variations (CNVs) of regions of the human genome have been associated with multiple diseases. We present an algorithm which is mathematically sound and computationally efficient to accurately analyze CNV in a DNA sample utilizing a nanofluidic device, known as the digital array. This numerical algorithm is utilized to compute copy number variation and the associated statistical confidence interval and is based on results from probability theory and statistics. We also provide formulas which can be … Show more

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Cited by 266 publications
(285 citation statements)
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“…dPCR measurement is well documented as being based on the Poisson distribution (20,41 ) which, for a given mean, has a constant variance. Although this may be true for the measurement of a given pure DNA extract, inhibitory substances copurified or introduced during the extraction may or may not affect the overall measurement variability (31 ).…”
Section: Error: Variancementioning
confidence: 99%
“…dPCR measurement is well documented as being based on the Poisson distribution (20,41 ) which, for a given mean, has a constant variance. Although this may be true for the measurement of a given pure DNA extract, inhibitory substances copurified or introduced during the extraction may or may not affect the overall measurement variability (31 ).…”
Section: Error: Variancementioning
confidence: 99%
“…The use of multiple independent chambers facilitates the detection of rare copies of a mutated allele in a limited amount of patient sample. The digital array has previously been used for a variety of different applications, including absolute quantification (26 ), mutation detection (28,29 ), and studies of variation in copy number (30,31 ).…”
Section: Mutations In the Krasmentioning
confidence: 99%
“…The results show good performance in droplet ratio quantification across two logs of dynamic range (R 2 = 0.984; Figure 3B). The input analyte concentration is easily calculated from the fraction of positive or negative droplets 38 .…”
Section: Representative Resultsmentioning
confidence: 99%