Evidence map›Paper›PMID 21666266›Full record

ArticleBioinformatics (Oxford, England)2011

Parent-specific copy number in paired tumor-normal studies using circular binary segmentation.

Adam B Olshen, Henrik Bengtsson, Pierre Neuvial, Paul T Spellman, Richard A Olshen, Venkatraman E Seshan

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
–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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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26 more citing papers are in PubMed but not listed here.

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

6 authors.

Adam B OlshenDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA. olshena@biostat.ucsf.edu
Henrik Bengtsson
Pierre Neuvial
Paul T Spellman
Richard A Olshen
Venkatraman E Seshan

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Leigh Clarke · 1999 to 2026
$209.7M
MSKCC Center for Translational Cancer Genomic AnalysisU24CA143840 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LADANYI, MARC, SANDER, CHRIS · 2009 to 2016
$11.5M
The Berkeley Cancer Genome CenterU24CA126551 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI GRAY, JOE W. · 2006 to 2009
$5.4M
TCGA Data Analysis Center at BerkeleyU24CA143799 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SPEED, TERENCE PAUL, SPELLMAN, PAUL T. · 2009 to 2016
$4.9M
Adaptation of New Statistical Ideas for MedicineR37EB002784 · NIBIB · STANFORD UNIVERSITY · PI EFRON, BRADLEY · 2006 to 2014
$1.9M
Statistical Methods for Identifying Clonal TumorsR01CA124504 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B · 2009 to 2011
$1.1M
NCI NIH HHS 1U24 CA126551NCI NIH HHS 1U24 CA143799NCI NIH HHS 1U24 CA143840-01NCI NIH HHS CA124504NCI NIH HHS P30 CA082103NCI NIH HHS P30 CA82103NCI NIH HHS R01 CA124504NCI NIH HHS U24 CA126551NCI NIH HHS U24 CA143799NCI NIH HHS U24 CA143840NIBIB NIH HHS 4R37EB002784-35NIBIB NIH HHS R37 EB002784
6 · The paper itself

Abstract

motivationHigh-throughput techniques facilitate the simultaneous measurement of DNA copy number at hundreds of thousands of sites on a genome. Older techniques allow measurement only of total copy number, the sum of the copy number contributions from the two parental chromosomes. Newer single nucleotide polymorphism (SNP) techniques can in addition enable quantifying parent-specific copy number (PSCN). The raw data from such experiments are two-dimensional, but are unphased. Consequently, inference based on them necessitates development of new analytic methods.

methodsWe have adapted and enhanced the circular binary segmentation (CBS) algorithm for this purpose with focus on paired test and reference samples. The essence of paired parent-specific CBS (Paired PSCBS) is to utilize the original CBS algorithm to identify regions of equal total copy number and then to further segment these regions where there have been changes in PSCN. For the final set of regions, calls are made of equal parental copy number and loss of heterozygosity (LOH). PSCN estimates are computed both before and after calling.

resultsThe methodology is evaluated by simulation and on glioblastoma data. In the simulation, PSCBS compares favorably to established methods. On the glioblastoma data, PSCBS identifies interesting genomic regions, such as copy-neutral LOH. AVAILABILITY: The Paired PSCBS method is implemented in an open-source R package named PSCBS, available on CRAN (http://cran.r-project.org/).

Indexed as

AlgorithmsGene DosageAllelesComputer SimulationGene FrequencyGlioblastomaHumansLoss of HeterozygosityPolymorphism, Single NucleotideSequence Analysis, DNASoftware

Identifiers

PMID21666266
PMCPMC3137217

What OpenQuestion holds

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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.