Evidence map›Paper›PMID 21298078›Full record

ArticlePLoS computational biology2011

Estimation of parent specific DNA copy number in tumors using high-density genotyping arrays.

Hao Chen, Haipeng Xing, Nancy R Zhang

Abstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Statistical Inference in Hidden Markov Models UsingJournal of the American Statistical Association · 2016
    Article
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  14. SPARSE INTEGRATIVE CLUSTERING OF MULTIPLE OMICS DATA SETS.The annals of applied statistics · 2013
    Article
  15. Article
  16. Article
  17. Getting DNA copy numbers without control samples.Algorithms for molecular biology : AMB · 2012
    Article
  18. Article
  19. Article
  20. 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.

Hao ChenDepartment of Statistics, Stanford University, Stanford, California, United States of America.
Haipeng Xing
Nancy R Zhang

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
Statistical Models for Genome Sequencing and AssociationR01HG006137 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JI, HANLEE P, ZHANG, NANCY R · 2011 to 2022
$4.3M
Adaptation of New Statistical Ideas for MedicineR37EB002784 · NIBIB · STANFORD UNIVERSITY · PI EFRON, BRADLEY · 2006 to 2014
$1.9M
NHGRI NIH HHS P01 HG000205NHGRI NIH HHS R01 HG006137NIBIB NIH HHS R37 EB002784NIBIB NIH HHS R37EB02784
6 · The paper itself

Abstract

Chromosomal gains and losses comprise an important type of genetic change in tumors, and can now be assayed using microarray hybridization-based experiments. Most current statistical models for DNA copy number estimate total copy number, which do not distinguish between the underlying quantities of the two inherited chromosomes. This latter information, sometimes called parent specific copy number, is important for identifying allele-specific amplifications and deletions, for quantifying normal cell contamination, and for giving a more complete molecular portrait of the tumor. We propose a stochastic segmentation model for parent-specific DNA copy number in tumor samples, and give an estimation procedure that is computationally efficient and can be applied to data from the current high density genotyping platforms. The proposed method does not require matched normal samples, and can estimate the unknown genotypes simultaneously with the parent specific copy number. The new method is used to analyze 223 glioblastoma samples from the Cancer Genome Atlas (TCGA) project, giving a more comprehensive summary of the copy number events in these samples. Detailed case studies on these samples reveal the additional insights that can be gained from an allele-specific copy number analysis, such as the quantification of fractional gains and losses, the identification of copy neutral loss of heterozygosity, and the characterization of regions of simultaneous changes of both inherited chromosomes.

Indexed as

Gene DosageParentsAllelesDNA, NeoplasmGenotypeHumansMarkov ChainsPolymorphism, Single NucleotideDNA, Neoplasm

Identifiers

PMID21298078
PMCPMC3029233

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Registered trials

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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.