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Comparison of Three Targeted Enrichment Strategies on the SOLiD Sequencing Platform

Author

Listed:
  • Dale J Hedges
  • Toumy Guettouche
  • Shan Yang
  • Guney Bademci
  • Ashley Diaz
  • Ashley Andersen
  • William F Hulme
  • Sara Linker
  • Arpit Mehta
  • Yvonne J K Edwards
  • Gary W Beecham
  • Eden R Martin
  • Margaret A Pericak-Vance
  • Stephan Zuchner
  • Jeffery M Vance
  • John R Gilbert

Abstract

Despite the ever-increasing throughput and steadily decreasing cost of next generation sequencing (NGS), whole genome sequencing of humans is still not a viable option for the majority of genetics laboratories. This is particularly true in the case of complex disease studies, where large sample sets are often required to achieve adequate statistical power. To fully leverage the potential of NGS technology on large sample sets, several methods have been developed to selectively enrich for regions of interest. Enrichment reduces both monetary and computational costs compared to whole genome sequencing, while allowing researchers to take advantage of NGS throughput. Several targeted enrichment approaches are currently available, including molecular inversion probe ligation sequencing (MIPS), oligonucleotide hybridization based approaches, and PCR-based strategies. To assess how these methods performed when used in conjunction with the ABI SOLID3+, we investigated three enrichment techniques: Nimblegen oligonucleotide hybridization array-based capture; Agilent SureSelect oligonucleotide hybridization solution-based capture; and Raindance Technologies' multiplexed PCR-based approach. Target regions were selected from exons and evolutionarily conserved areas throughout the human genome. Probe and primer pair design was carried out for all three methods using their respective informatics pipelines. In all, approximately 0.8 Mb of target space was identical for all 3 methods. SOLiD sequencing results were analyzed for several metrics, including consistency of coverage depth across samples, on-target versus off-target efficiency, allelic bias, and genotype concordance with array-based genotyping data. Agilent SureSelect exhibited superior on-target efficiency and correlation of read depths across samples. Nimblegen performance was similar at read depths at 20× and below. Both Raindance and Nimblegen SeqCap exhibited tighter distributions of read depth around the mean, but both suffered from lower on-target efficiency in our experiments. Raindance demonstrated the highest versatility in assay design.

Suggested Citation

  • Dale J Hedges & Toumy Guettouche & Shan Yang & Guney Bademci & Ashley Diaz & Ashley Andersen & William F Hulme & Sara Linker & Arpit Mehta & Yvonne J K Edwards & Gary W Beecham & Eden R Martin & Marga, 2011. "Comparison of Three Targeted Enrichment Strategies on the SOLiD Sequencing Platform," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-8, April.
  • Handle: RePEc:plo:pone00:0018595
    DOI: 10.1371/journal.pone.0018595
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    Cited by:

    1. Love Michael I. & Myšičková Alena & Sun Ruping & Kalscheuer Vera & Vingron Martin & Haas Stefan A., 2011. "Modeling Read Counts for CNV Detection in Exome Sequencing Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-30, November.

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