Detection of de novo copy number alterations in case-parent trios using the R package MinimumDistance

نویسنده

  • Rob Scharpf
چکیده

For the analysis of case-parent trio genotyping arrays, copy number variants (CNV) appearing in the offspring that differ from the parental copy numbers are often of interest (de novo CNV). This package defines a statistic, referred to as the minimum distance, for identifying de novo copy number alterations in the offspring. We smooth the minimum distance using the circular binary segmentation algorithm implemented in the Bioconductor package DNAcopy. Trio copy number states are inferred from the maximum a posteriori probability of the segmented data, incorporating information from the log R ratios and B allele frequencies. As both log R ratios and B allele frequencies are estimable from Illumina and Affymetrix arrays, this package supports de novo copy number inference in both platforms.

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تاریخ انتشار 2013