Unknown

Dataset Information

0

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


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.

SUBMITTER: Gampawar P 

PROVIDER: S-EPMC6774276 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Gampawar Piyush P   Saba Yasaman Y   Werner Ulrike U   Schmidt Reinhold R   Müller-Myhsok Bertram B   Schmidt Helena H  

Frontiers in genetics 20190925


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 <i>hitherto</i> 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-wi  ...[more]

Similar Datasets

| S-EPMC7868962 | biostudies-literature
| PRJEB27429 | ENA
| S-EPMC7463572 | biostudies-literature
| S-EPMC5524428 | biostudies-literature
| S-EPMC5299602 | biostudies-literature
2016-05-12 | PXD002836 | Pride
| S-EPMC4526024 | biostudies-literature
2020-07-03 | GSE153742 | GEO
| S-EPMC5895860 | biostudies-literature
| PRJEB10523 | ENA