Evidence map›Paper›PMID 29325072›Full record

ArticleBioinformatics (Oxford, England)2018

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

Brian K Mannakee, Uthra Balaji, Agnieszka K Witkiewicz, Ryan N Gutenkunst, Erik S Knudsen

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 55% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Brian K MannakeeDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health.
Uthra BalajiMcDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Agnieszka K WitkiewiczUniversity of Arizona Cancer Center, University of Arizona, Tucson, AZ 85721, USA.
Ryan N GutenkunstDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Erik S KnudsenUniversity of Arizona Cancer Center, University of Arizona, Tucson, AZ 85721, USA.
University of Arizona · USSouthwestern Medical Center · USUniversity of Arizona Cancer Center

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
Common Genetically Altered Pathways as Targets for Therapy in Pancreatic CancerR01CA211878 · NCI · UNIVERSITY OF ARIZONA · PI KNUDSEN, ERIK, WITKIEWICZ, AGNIESZKA · 2017 to 2021
$1.9M
NCI NIH HHS P30 CA023074NCI NIH HHS R01 CA211878
6 · The paper itself

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. Availability and implementation: The mapexr package for R is available at https://github.com/bmannakee/mapexr under the MIT license. Contact: mannakee@email.arizona.edu or rgutenk@email.arizona.edu or eknudsen@email.arizona.edu. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

Genetic VariationAlgorithmsAnimalsHeterograftsHigh-Throughput Nucleotide SequencingHumansMiceNeoplasmsSoftware

Identifiers

PMID29325072
PMCPMC5946891
OpenAlexW2952313715

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.