ArticleGenome biology2010
A statistical approach for detecting genomic aberrations in heterogeneous tumor samples from single nucleotide polymorphism genotyping data.
Article in Genome biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.
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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.
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Who cites it
85 citing papers in PubMed.
- DNA methylation marker to estimate the breast cancer cell fraction in DNA samples.Medical oncology (Northwood, London, England) · 2018Trial
- Homologous recombination deficiency (HRD) testing landscape: clinical applications and technical validation for routine diagnostics.Biomarker research · 2025Review
- An Integrative Pancreatic Cancer Risk Prediction Model in the UK Biobank.Biomedicines · 2023Article
- The origin of bladder cancer from mucosal field effects.iScience · 2022Article
- Set-Wise Differential Interaction Between Copy Number Alterations and Gene Expressions of Lower-Grade Glioma Reveals Prognosis-Associated Pathways.Entropy (Basel, Switzerland) · 2020Article
- Systematic Assessment of Tumor Purity and Its Clinical Implications.JCO precision oncology · 2020Article
- A systematic evaluation of copy number alterations detection methods on real SNP array and deep sequencing data.BMC bioinformatics · 2019Article
- Analysis of head and neck carcinoma progression reveals novel and relevant stage-specific changes associated with immortalisation and malignancy.Scientific reports · 2019Article
- Molecular signatures of X chromosome inactivation and associations with clinical outcomes in epithelial ovarian cancer.Human molecular genetics · 2019Article
- Comparison of TCGA and GENIE genomic datasets for the detection of clinically actionable alterations in breast cancer.Scientific reports · 2019Article
- Genomic Instability andJCO precision oncology · 2019Article
- ShinyCNV: a Shiny/R application to view and annotate DNA copy number variations.Bioinformatics (Oxford, England) · 2019Article
- Article
- Evolutionary Distance Predicts Recurrence After Liver Transplantation in Multifocal Hepatocellular Carcinoma.Transplantation · 2018Article
- How Should Biobanks Prioritize and Diversify Biosample Collections? A 40-Year Scientific Publication Trend Analysis by the Type of Biosample.Omics : a journal of integrative biology · 2018Article
- Early genetic aberrations in patients with sporadic colorectal cancer.Molecular carcinogenesis · 2018Article
- Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies.Scientific reports · 2017Article
- An integrative approach to assess X-chromosome inactivation using allele-specific expression with applications to epithelial ovarian cancer.Genetic epidemiology · 2017Article
- Detect differentially methylated regions using non-homogeneous hidden Markov model for methylation array data.Bioinformatics (Oxford, England) · 2017Article
- Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors.Nature communications · 2017Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
We describe a statistical method for the characterization of genomic aberrations in single nucleotide polymorphism microarray data acquired from cancer genomes. Our approach allows us to model the joint effect of polyploidy, normal DNA contamination and intra-tumour heterogeneity within a single unified Bayesian framework. We demonstrate the efficacy of our method on numerous datasets including laboratory generated mixtures of normal-cancer cell lines and real primary tumours.
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Registered trials
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.