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Hum Mutat. 2015 Sep;36(9):903-14. doi: 10.1002/humu.22825. Epub 2015 Jul 15.

Evaluation of Hybridization Capture Versus Amplicon-Based Methods for Whole-Exome Sequencing.

Author information

1
Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, 43210.
2
Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, 43210.
3
Department of Pharmacology, The Ohio State University, Columbus, Ohio, 43210.

Abstract

Next-generation sequencing has aided characterization of genomic variation. While whole-genome sequencing may capture all possible mutations, whole-exome sequencing remains cost-effective and captures most phenotype-altering mutations. Initial strategies for exome enrichment utilized a hybridization-based capture approach. Recently, amplicon-based methods were designed to simplify preparation and utilize smaller DNA inputs. We evaluated two hybridization capture-based and two amplicon-based whole-exome sequencing approaches, utilizing both Illumina and Ion Torrent sequencers, comparing on-target alignment, uniformity, and variant calling. While the amplicon methods had higher on-target rates, the hybridization capture-based approaches demonstrated better uniformity. All methods identified many of the same single-nucleotide variants, but each amplicon-based method missed variants detected by the other three methods and reported additional variants discordant with all three other technologies. Many of these potential false positives or negatives appear to result from limited coverage, low variant frequency, vicinity to read starts/ends, or the need for platform-specific variant calling algorithms. All methods demonstrated effective copy-number variant calling when evaluated against a single-nucleotide polymorphism array. This study illustrates some differences between whole-exome sequencing approaches, highlights the need for selecting appropriate variant calling based on capture method, and will aid laboratories in selecting their preferred approach.

KEYWORDS:

NGS; WES; bioinformatics; exome sequencing; genomics; next generation sequencing

PMID:
26110913
PMCID:
PMC4832303
DOI:
10.1002/humu.22825
[Indexed for MEDLINE]
Free PMC Article

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