Detection and quantification of rare mutations with massively parallel sequencing
Howard Hughes Medical Institute · Sidney Kimmel Cancer Center · +1 more institution
Abstract
The identification of mutations that are present in a small fraction of DNA templates is essential for progress in several areas of biomedical research. Although massively parallel sequencing instruments are in principle well suited to this task, the error rates in such instruments are generally too high to allow confident identification of rare variants. We here describe an approach that can substantially increase the sensitivity of massively parallel sequencing instruments for this purpose. The keys to this approach, called the Safe-Sequencing System ("Safe-SeqS"), are (i) assignment of a unique identifier (UID) to each template molecule, (ii) amplification of each uniquely tagged template molecule to create…
Citation impact
- FWCI
- 14.61
- Percentile
- 100%
- References
- 52
Authors
5- IKIsaac Kinde
Howard Hughes Medical Institute, Sidney Kimmel Cancer Center, Cancer Genetics (United States)
- JWJian Wu
Howard Hughes Medical Institute, Sidney Kimmel Cancer Center, Cancer Genetics (United States)
- NPNick Papadopoulos
Howard Hughes Medical Institute, Sidney Kimmel Cancer Center, Cancer Genetics (United States)
- KWKenneth W. KinzlerCorresponding
Howard Hughes Medical Institute, Sidney Kimmel Cancer Center, Cancer Genetics (United States)
- BVBert Vogelstein
Howard Hughes Medical Institute, Sidney Kimmel Cancer Center, Cancer Genetics (United States)
Topics & keywords
- Massive parallel sequencing
- Massively parallel
- Computational biology
- Biology
- Oligonucleotide
- DNA sequencing
- Mutation
- Identification (biology)