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1.
Nucleic Acids Res ; 41(6): e67, 2013 Apr 01.
Article in English | MEDLINE | ID: mdl-23303777

ABSTRACT

As researchers begin probing deep coverage sequencing data for increasingly rare mutations and subclonal events, the fidelity of next generation sequencing (NGS) laboratory methods will become increasingly critical. Although error rates for sequencing and polymerase chain reaction (PCR) are well documented, the effects that DNA extraction and other library preparation steps could have on downstream sequence integrity have not been thoroughly evaluated. Here, we describe the discovery of novel C > A/G > T transversion artifacts found at low allelic fractions in targeted capture data. Characteristics such as sequencer read orientation and presence in both tumor and normal samples strongly indicated a non-biological mechanism. We identified the source as oxidation of DNA during acoustic shearing in samples containing reactive contaminants from the extraction process. We show generation of 8-oxoguanine (8-oxoG) lesions during DNA shearing, present analysis tools to detect oxidation in sequencing data and suggest methods to reduce DNA oxidation through the introduction of antioxidants. Further, informatics methods are presented to confidently filter these artifacts from sequencing data sets. Though only seen in a low percentage of reads in affected samples, such artifacts could have profoundly deleterious effects on the ability to confidently call rare mutations, and eliminating other possible sources of artifacts should become a priority for the research community.


Subject(s)
Artifacts , DNA Damage , High-Throughput Nucleotide Sequencing/methods , Mutation , Sequence Analysis, DNA/methods , Alleles , DNA/chemistry , Genomics , Guanine/analogs & derivatives , Guanine/analysis , Humans , Melanoma/genetics , Oxidation-Reduction
2.
Genome Biol ; 12(1): R1, 2011.
Article in English | MEDLINE | ID: mdl-21205303

ABSTRACT

Genome targeting methods enable cost-effective capture of specific subsets of the genome for sequencing. We present here an automated, highly scalable method for carrying out the Solution Hybrid Selection capture approach that provides a dramatic increase in scale and throughput of sequence-ready libraries produced. Significant process improvements and a series of in-process quality control checkpoints are also added. These process improvements can also be used in a manual version of the protocol.


Subject(s)
Automation, Laboratory , Exome , Gene Library , Nucleic Acid Hybridization/methods , Oligonucleotide Array Sequence Analysis/methods , Genome, Human , High-Throughput Nucleotide Sequencing , Humans , Quality Control
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