Nature Communications (Sep 2018)
Clinical cancer genomic profiling by three-platform sequencing of whole genome, whole exome and transcriptome
- Michael Rusch,
- Joy Nakitandwe,
- Sheila Shurtleff,
- Scott Newman,
- Zhaojie Zhang,
- Michael N. Edmonson,
- Matthew Parker,
- Yuannian Jiao,
- Xiaotu Ma,
- Yanling Liu,
- Jiali Gu,
- Michael F. Walsh,
- Jared Becksfort,
- Andrew Thrasher,
- Yongjin Li,
- James McMurry,
- Erin Hedlund,
- Aman Patel,
- John Easton,
- Donald Yergeau,
- Bhavin Vadodaria,
- Ruth G. Tatevossian,
- Susana Raimondi,
- Dale Hedges,
- Xiang Chen,
- Kohei Hagiwara,
- Rose McGee,
- Giles W. Robinson,
- Jeffery M. Klco,
- Tanja A. Gruber,
- David W. Ellison,
- James R Downing,
- Jinghui Zhang
Affiliations
- Michael Rusch
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Joy Nakitandwe
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Sheila Shurtleff
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Scott Newman
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Zhaojie Zhang
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Michael N. Edmonson
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Matthew Parker
- Sheffield Bioinformatics Core, University of Sheffield
- Yuannian Jiao
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Xiaotu Ma
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Yanling Liu
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Jiali Gu
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Michael F. Walsh
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Jared Becksfort
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Andrew Thrasher
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Yongjin Li
- Department of Computational Biology, St. Jude Children’s Research Hospital
- James McMurry
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Erin Hedlund
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Aman Patel
- Department of Computational Biology, St. Jude Children’s Research Hospital
- John Easton
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Donald Yergeau
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Bhavin Vadodaria
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Ruth G. Tatevossian
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Susana Raimondi
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Dale Hedges
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Xiang Chen
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Kohei Hagiwara
- Department of Computational Biology, St. Jude Children’s Research Hospital
- Rose McGee
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Giles W. Robinson
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Jeffery M. Klco
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Tanja A. Gruber
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- David W. Ellison
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- James R Downing
- Pediatric Cancer Genome Project, St. Jude Children’s Research Hospital
- Jinghui Zhang
- Department of Computational Biology, St. Jude Children’s Research Hospital
- DOI
- https://doi.org/10.1038/s41467-018-06485-7
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 13
Abstract
Clinical oncology is rapidly adopting next-generation sequencing technology for nucleotide variant and indel detection. Here the authors present a three-platform approach (whole-genome, whole-exome, and whole-transcriptome) in pediatric patients for the detection of diverse types of germline and somatic variants.
