Computation of Maximal Resolution of Copy Number Variation on a Nanofluidic Device using Digital PCR
Simant Dube, Alain Mir, Robert C. Jones, Ramesh Ramakrishnan, Gang Sun

TL;DR
This paper develops a mathematical framework to determine the maximum resolution of digital PCR devices for detecting copy number variations, and applies it to estimate X chromosome copy number.
Contribution
It introduces a method to compute the maximal distinguishable copy number in digital PCR, enhancing CNV analysis accuracy.
Findings
Computed maximum resolvable copy number for digital PCR
Validated the approach with X chromosome copy number estimation
Provided statistical confidence intervals for CNV detection
Abstract
Copy Number Variations (CNVs) of regions of the human genome are important in disease association studies.The digital array is a nanofluidic biochip which utilizes integrated channels and valves that partition mixtures of sample and reagents into 765 nanovolume reaction chambers. It was recently shown how one can perform statistical analysis of CNV in a DNA sample the digital array. In particular, it was shown how one can accurately estimate the true concentration of the molecules in the DNA sample and then determine the ratios of different sequences along with statistical confidence intervals on these estimations. In this paper we perform computation of maximum number of copies which can be distinguished using the digital array which gives its resolution in terms of its ability to determine CNV. Then, we demonstrate the usefulness of the mathematical analysis to solve an important…
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Taxonomy
TopicsMolecular Biology Techniques and Applications · Genomic variations and chromosomal abnormalities · Forensic and Genetic Research
