Evidence map›Paper›PMID 25477383›Full record

ArticleNucleic acids research2015

Allele-specific copy number profiling by next-generation DNA sequencing.

Hao Chen, John M Bell, Nicolas A Zavala, Hanlee P Ji, Nancy R Zhang

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  9. Article
  10. Identification of Copy Number Alterations from Next-Generation Sequencing Data.Advances in experimental medicine and biology · 2022
    Article
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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.

Hao ChenDepartment of Statistics, University of California, One Shields Avenue, Davis, CA 95616, USA.
John M BellDivision of Oncology, School of Medicine, Stanford University, 291 Campus Dr, Stanford, CA 94305, USA.
Nicolas A ZavalaDivision of Oncology, School of Medicine, Stanford University, 291 Campus Dr, Stanford, CA 94305, USA.
Hanlee P JiDivision of Oncology, School of Medicine, Stanford University, 291 Campus Dr, Stanford, CA 94305, USA.
Nancy R ZhangDepartment of Statistics, The Wharton School, University of Pennsylvania, 3730 Walnut Street, Philadelphia, PA 19104, USA nzh@wharton.upenn.edu.

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
A Strategy for High Quality Clinical Resequencing of the Human GenomeRC2HG005570 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2009 to 2010
$2.8M
NCI NIH HHS 1R33CA1745701NHGRI NIH HHS 2R01HG006137-04NHGRI NIH HHS P01 HG000205NHGRI NIH HHS R01 HG006137NHGRI NIH HHS RC2HG005570
6 · The paper itself

Abstract

The progression and clonal development of tumors often involve amplifications and deletions of genomic DNA. Estimation of allele-specific copy number, which quantifies the number of copies of each allele at each variant loci rather than the total number of chromosome copies, is an important step in the characterization of tumor genomes and the inference of their clonal history. We describe a new method, falcon, for finding somatic allele-specific copy number changes by next generation sequencing of tumors with matched normals. falcon is based on a change-point model on a bivariate mixed Binomial process, which explicitly models the copy numbers of the two chromosome haplotypes and corrects for local allele-specific coverage biases. By using the Binomial distribution rather than a normal approximation, falcon more effectively pools evidence from sites with low coverage. A modified Bayesian information criterion is used to guide model selection for determining the number of copy number events. Falcon is evaluated on in silico spike-in data and applied to the analysis of a pre-malignant colon tumor sample and late-stage colorectal adenocarcinoma from the same individual. The allele-specific copy number estimates obtained by falcon allows us to draw detailed conclusions regarding the clonal history of the individual's colon cancer.

Indexed as

AllelesGene DosageSoftwareAdenocarcinomaClonal EvolutionColorectal NeoplasmsHigh-Throughput Nucleotide SequencingHumansNeoplasmsSequence Analysis, DNA

Identifiers

PMID25477383
PMCPMC4344483

What OpenQuestion holds

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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.