Sensitive and specific post-call filtering of genetic variants in xenograft and primary tumors
Affiliation
Univ Arizona, Dept Epidemiol & Biostat, Mel & Enid Zuckerman Coll Publ HlthUniv Arizona, Ctr Canc
Univ Arizona, Dept Med
Univ Arizona, Dept Pathol
Univ Arizona, Dept Mol & Cellular Biol
Issue Date
2018-05-15
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OXFORD UNIV PRESSCitation
Brian K Mannakee, Uthra Balaji, Agnieszka K Witkiewicz, Ryan N Gutenkunst, Erik S Knudsen; Sensitive and specific post-call filtering of genetic variants in xenograft and primary tumors, Bioinformatics, Volume 34, Issue 10, 15 May 2018, Pages 1713–1718, https://doi.org/10.1093/bioinformatics/bty010Journal
BIOINFORMATICSRights
© The Author(s) 2018. Published by Oxford University Press. All rights reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Motivation: Tumor genome sequencing offers great promise for guiding research and therapy, but spurious variant calls can arise from multiple sources. Mouse contamination can generate many spurious calls when sequencing patient-derived xenografts. Paralogous genome sequences can also generate spurious calls when sequencing any tumor. We developed a BLAST-based algorithm, Mouse And Paralog EXterminator (MAPEX), to identify and filter out spurious calls from both these sources. Results: When calling variants from xenografts, MAPEX has similar sensitivity and specificity to more complex algorithms. When applied to any tumor, MAPEX also automatically flags calls that potentially arise from paralogous sequences. Our implementation, mapexr, runs quickly and easily on a desktop computer. MAPEX is thus a useful addition to almost any pipeline for calling genetic variants in tumors.Note
12 month embargo; published online: 08 January 2018ISSN
1367-48031460-2059
PubMed ID
29325072Version
Final accepted manuscriptSponsors
National Science Foundation [DGE-1143953]; National Institutes of Health [R01CA211878-01, P30CA023074-36S2]Additional Links
https://academic.oup.com/bioinformatics/article/34/10/1713/4792962ae974a485f413a2113503eed53cd6c53
10.1093/bioinformatics/bty010
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