henhaobio
Sign in

BioinformaticsBioinformaticsPeer-reviewed journal article

Sensitive and specific post-call filtering of genetic variants in xenograft and primary tumors

Brian K. MannakeeiD, Uthra Balaji, Agnieszka Katarzyna WitkiewicziD, Ryan N. GutenkunstiD, Erik S. KnudseniD

PDFDOIPreprint

Abstract

MotivationTumor 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 (PDXs). Paralogous genome sequences can also generate spurious calls when sequencing any tumor. We developed a BLAST-based algorithm, MAPEX, to identify and filter out spurious calls from both these sources.\n\nResultsWhen 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 desktocomputer. MAPEX is thus a useful addition to almost any pipeline for calling genetic variants in tumors.

Citations
6
FWCI
0.08
Field percentile
37th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.