ArticleNature genetics2017
Bayesian inference of negative and positive selection in human cancers.
Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.
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Who cites it
78 citing papers in PubMed, 136 citations in OpenAlex.
- A guide to understanding tumour evolution through the lens of population genetics.Nature reviews. Cancer · 2026Review
- The Evolution of Polyclonal Competition in Aging Hematopoiesis.Cancer discovery · 2026Article
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- Fluctuating environment causes neoplastic transition and epithelial-mesenchymal plasticity in human cells.Research square · 2026Article
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- The dynamics of mutational selection in cutaneous squamous carcinogenesis.Communications biology · 2026Article
- Identification of cancer mini-drivers by deciphering selective landscape in the cancer genome.Briefings in bioinformatics · 2026Article
- Satellite DNA fragility accompanies complex genome rearrangements and ecDNA oncogene amplification in canine osteosarcomas.bioRxiv : the preprint server for biology · 2025Article
- Germline variant spectrum of hereditary cancer susceptibility genes in a Chinese cohort.Human genomics · 2025Article
- Transcription start sites experience a high influx of heritable variants fueled by early development.Nature communications · 2025Article
- A multimodal framework for comprehensive driver variant prediction in cancer.Communications medicine · 2025Article
- Segregating DNA lesions point to high selective advantage of tumor initiating cells.bioRxiv : the preprint server for biology · 2025Article
- Analysis of IDH1 and IDH2 mutations as causes of the hypermethylator phenotype in colorectal cancer.The Journal of pathology · 2025Article
- Oncodrive3D: fast and accurate detection of structural clusters of somatic mutations under positive selection.Nucleic acids research · 2025Article
- Genome-level selection in tumors as a universal marker of resistance to therapy.Nature communications · 2025Article
- Cancer gene identification from RNA variant allelic frequencies using RVdriver.Genome biology · 2025Article
- Convergent Genetic Adaptation in Human Tumors Developed Under Systemic Hypoxia and in Populations Living at High Altitudes.Cancer discovery · 2025Article
- Cancer immune evasion, immunoediting and intratumour heterogeneity.Nature reviews. Immunology · 2025Review
- Nonhypermutator Cancers Access Driver Mutations Through Reversals in Germline Mutational Bias.Molecular biology and evolution · 2025Article
- Global analysis of actionable genomic alterations in thyroid cancer and precision-based pharmacogenomic strategies.Frontiers in pharmacology · 2025Article
18 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
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer genomics efforts have identified genes and regulatory elements driving cancer development and neoplastic progression. From a microevolution standpoint, these are subject to positive selection. Although elusive in current studies, genes whose wild-type coding sequences are needed for tumor growth are also of key interest. They are expected to experience negative selection and stay intact under pressure of incessant mutation. The detection of significantly mutated (or undermutated) genes is completely confounded by the genomic heterogeneity of cancer mutation. Here we present a hierarchical framework that allows modeling of coding point mutations. Application of the model to sequencing data from 17 cancer types demonstrates an increased power to detect known cancer driver genes and identifies new significantly mutated genes with highly plausible biological functions. The signal of negative selection is very subtle, but is detectable in several cancer types and in a pan-cancer data set. It is enriched in cell-essential genes identified in a CRISPR screen, as well as in genes with reported roles in cancer.
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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.