Whole genome amplification with SurePlex results in better copy number alteration detection using sequencing data compared to the MALBAC method.

ABSTRACT: Current whole genome amplification (WGA) methods lead to amplification bias resulting in over- and under-represented regions in the genome. Nevertheless, certain WGA methods, such as SurePlex and subsequent arrayCGH analysis, make it possible to detect copy number alterations (CNAs) at a 10 Mb resolution. A more uniform WGA combined with massive parallel sequencing (MPS), however, could allow detection at higher resolution and lower cost. Recently, MALBAC, a new WGA method, claims unparalleled performance. Here, we compared the well-established SurePlex and MALBAC WGA for their ability to detect CNAs in MPS generated data and, in addition, compared PCR-free MPS library preparation with the standard enrichment PCR library preparation. Results showed that SurePlex amplification led to more u

SUBMITTER: Deleye L 

PROVIDER: S-EPMC4485032 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature