A Robust Algorithm for Copy Number Detection Using High-Density Oligonucleotide Single Nucleotide Polymorphism Genotyping Arrays
Japan Science and Technology Agency · The University of Tokyo
Abstract
We have developed a robust algorithm for copy number analysis of the human genome using high-density oligonucleotide microarrays containing 116,204 single-nucleotide polymorphisms. The advantages of this algorithm include the improvement of signal-to-noise (S/N) ratios and the use of an optimized reference. The raw S/N ratios were improved by accounting for the length and GC content of the PCR products using quadratic regressions. The use of constitutional DNA, when available, gives the lowest SD values (0.16 +/- 0.03) and also enables allele-based copy number detection in cancer genomes, which can unmask otherwise concealed allelic imbalances. In the absence of constitutional DNA, optimized selection of…
Citation impact
- FWCI
- 36.79
- Percentile
- 100%
- References
- 24
Authors
11Topics & keywords
- Copy-number variation
- Genotyping
- Human genome
- Single-nucleotide polymorphism
- DNA microarray
- Copy number analysis
- Biology
- 1000 Genomes Project
- Peace, Justice and strong institutions