Copy number analysis by low coverage whole genome sequencing using ultra low-input DNA from formalin-fixed paraffin embedded tumor tissue. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Kader, Tanjina; Goode, David; Wong, Stephen; Connaughton, Jacquie; Rowley, Simone; Devereux, Lisa; Byrne, David; Fox, Stephen; Mir Arnau, Gisela; Tothill, Richard; Campbell, Ian; Gorringe, Kylie
• Is Part Of: Genome medicine. Volume 8:Issue 1(2016)
• Page Start: 1
• Page End: 13
• Publication Date: 2016-12
• Subjects: Low coverage whole genome sequencing (LC WGS) -- Low-input DNA -- Copy number -- Formalin-fixed paraffin-embedded (FFPE) -- Next generation sequencing; Genomics -- Periodicals; Medical genetics -- Periodicals; 616.042
• DOI: 10.1186/s13073-016-0375-z
• Languages: English
• ISSNs: 1756-994X

Abstract

Abstract Unlocking clinically translatable genomic information, including copy number alterations (CNA), from formalin-fixed paraffin-embedded (FFPE) tissue is challenging due to low yields and degraded DNA. We describe a robust, cost-effective low-coverage whole genome sequencing (LC WGS) method for CNA detection using 5 ng of FFPE-derived DNA. CN profiles using 100 ng or 5 ng input DNA were highly concordant and comparable with molecular inversion probe (MIP) array profiles. LC WGS improved CN profiles of samples that performed poorly using MIP arrays. Our technique enables identification of driver and prognostic CNAs in archival patient samples previously deemed unsuitable for genomic analysis due to DNA limitations.