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  Evaluation of the Performance of AmpliSeq and SureSelect Exome Sequencing Libraries for Ion Proton

Gampawar, P., Saba, Y., Werner, U., Schmidt, R., Mueller-Myhsok, B., & Schmidt, H. (2019). Evaluation of the Performance of AmpliSeq and SureSelect Exome Sequencing Libraries for Ion Proton. Frontiers in Genetics, 10: 856. doi:10.3389/fgene.2019.00856.

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 Creators:
Gampawar, Piyush, Author
Saba, Yasaman, Author
Werner, Ulrike, Author
Schmidt, Reinhold, Author
Mueller-Myhsok, Bertram1, Author           
Schmidt, Helena, Author
Affiliations:
1RG Statistical Genetics, Max Planck Institute of Psychiatry, Max Planck Society, DE, ou_2040288              

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 Abstract: Library preparation for whole-exome sequencing is a critical step serving the enrichment of the regions of interest. For Ion Proton, there are only two exome library preparation methods available, AmpliSeq and SureSelect. Although of major interest, a comparison of the two methods is hitherto missing in the literature. Here, we systematically evaluate the performance of AmpliSeq and SureSelect and present an improved variant calling pipeline. We used 12 in-house DNA samples with genome-wide and exome microarray data and a commercially available reference DNA (NA12878) for evaluation. Both methods had a high concordance (>97%) with microarray genotypes and, when validating against NA12878, a sensitivity and positive predictive values of >93% and >80%, respectively. Application of our variant calling pipeline decreased the number of false positive variants dramatically by 90% and resulted in positive predictive value of 97%. This improvement is highly relevant in research as well as clinical setting.

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Language(s): eng - English
 Dates: 2019-09-25
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000487630500001
DOI: 10.3389/fgene.2019.00856
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Title: Frontiers in Genetics
Source Genre: Journal
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Publ. Info: Lausanne : Frontiers Media
Pages: - Volume / Issue: 10 Sequence Number: 856 Start / End Page: - Identifier: ISSN: 1664-8021
CoNE: https://pure.mpg.de/cone/journals/resource/1664-8021