Evidence map›Paper›PMID 26776187›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2016

REPURPOSING GERMLINE EXOMES OF THE CANCER GENOME ATLAS DEMANDS A CAUTIOUS APPROACH AND SAMPLE-SPECIFIC VARIANT FILTERING.

Amanda Koire, Panagiotis Katsonis, Olivier Lichtarge

Abstract read
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
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  12. Review
  13. Article
  14. METHODS TO ENHANCE THE REPRODUCIBILITY OF PRECISION MEDICINE.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2016
    Article
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

3 authors.

Amanda KoireProgram in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas 77030, USA†Co-first authors., koire@bcm.edu.
Panagiotis Katsonis
Olivier Lichtarge

Funding

Functional Determinnats in G Protein-coupled ReceptorsR01GM066099 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LICHTARGE, OLIVIER · 2003 to 2022
$7.5M
Comparative genomics of protein structure and functionR01GM079656 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LICHTARGE, OLIVIER · 2007 to 2019
$4.3M
Translating genomic alterations into novel therapeutic targets in head and neck cancer through computational and functional approachesU01DE025181 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FREDERICK, MITCHELL J., LICHTARGE, OLIVIER · 2015 to 2018
$3.8M
NIDCR NIH HHS U01 DE025181NIGMS NIH HHS R01 GM066099NIGMS NIH HHS R01 GM079656NIGMS NIH HHS R01 GM079656-8
6 · The paper itself

Abstract

When seeking to reproduce results derived from whole-exome or genome sequencing data that could advance precision medicine, the time and expense required to produce a patient cohort make data repurposing an attractive option. The first step in repurposing is setting some quality baseline for the data so that conclusions are not spurious. This is difficult because there can be variations in quality from center to center, clinic to clinic and even patient to patient. Here, we assessed the quality of the whole-exome germline mutations of TCGA cancer patients using patterns of nucleotide substitution and negative selection against impactful mutations. We estimated the fraction of false positive variant calls for each exome with respect to two gold standard germline exomes, and found large variability in the quality of SNV calls between samples, cancer subtypes, and institutions. We then demonstrated how variant features, such as the average base quality for reads supporting an allele, can be used to identify sample-specific filtering parameters to optimize the removal of false positive calls. We concluded that while these germlines have many potential applications to precision medicine, users should assess the quality of the available exome data prior to use and perform additional filtering steps.

Indexed as

Germ-Line MutationComputational BiologyDatabases, GeneticExomeFalse Positive ReactionsGenome, HumanHumansNeoplasmsPolymorphism, Single NucleotidePrecision MedicineReproducibility of Results

Identifiers

PMID26776187
PMCPMC4720392

What OpenQuestion holds

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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.