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Oxford University Press (OUP), Bioinformatics, 24(30), p. 3443-3450

DOI: 10.1093/bioinformatics/btu436

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Multi-factor data normalization enables the detection of copy number aberrations in amplicon sequencing data

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: Because of its low cost, amplicon sequencing, also known as ultra-deep targeted sequencing, is now becoming widely used in oncology for detection of actionable mutations, i.e. mutations influencing cell sensitivity to targeted therapies. Amplicon sequencing is based on the polymerase chain reaction amplification of the regions of interest, a process that considerably distorts the information on copy numbers initially present in the tumor DNA. Therefore, additional experiments such as single nucleotide polymorphism (SNP) or comparative genomic hybridization (CGH) arrays often complement amplicon sequencing in clinics to identify copy number status of genes whose amplification or deletion has direct consequences on the efficacy of a particular cancer treatment. So far, there has been no proven method to extract the information on gene copy number aberrations based solely on amplicon sequencing.