Evidence map›Paper›PMID 31198957›Full record

ArticleBioinformatics (Oxford, England)2019

Testing clonal relatedness of two tumors from the same patient based on their mutational profiles: update of the Clonality R package.

Audrey Mauguen, Venkatraman E Seshan, Colin B Begg, Irina Ostrovnaya

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Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Audrey MauguenDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10017, USA.
Venkatraman E SeshanDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10017, USA.
Colin B BeggDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10017, USA.
Irina OstrovnayaDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10017, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Statistical Strategies for Establishing Etiologic Heterogeneity of TumorsR01CA163251 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B · 2012 to 2015
$1.5M
Statistical Methods for Identifying Clonal TumorsR01CA124504 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B · 2009 to 2011
$1.1M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA124504NCI NIH HHS R01 CA163251
6 · The paper itself

Abstract

summaryThe Clonality R package is a practical tool to assess the clonal relatedness of two tumors from the same patient. We have previously presented its functionality for testing tumors using loss of heterozygosity data or copy number arrays. Since then somatic mutation data have been more widely available through next generation sequencing and we have developed new methodology for comparing the tumors' mutational profiles. We thus extended the package to include these two new methods for comparing tumors as well as the mutational frequency estimation from external data required for their implementation. The first method is a likelihood ratio test that is readily available on a patient by patient basis. The second method employs a random-effects model to estimate both the population and individual probabilities of clonal relatedness from a group of patients with pairs of tumors. The package is available on Bioconductor. AVAILABILITY AND IMPLEMENTATION: Bioconductor (http://bioconductor.org/packages/release/bioc/html/Clonality.html). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

NeoplasmsSoftwareHigh-Throughput Nucleotide SequencingHumansMutation

Identifiers

PMID31198957
PMCPMC6853680

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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.