ArticleGenome medicine2017
Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes.
Article in Genome medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- A core driver gene set identified based on geMER reveals its potential driver mechanism in pan-cancer.NPJ precision oncology · 2025Article
- Integrating gene mutation spectra from tumors and the general population with gene expression topological networks to identify novel cancer driver genes.Human genetics · 2025Article
- Analysis of somatic mutations in whole blood from 200,618 individuals identifies pervasive positive selection and novel drivers of clonal hematopoiesis.Nature genetics · 2024Article
- Mitochondria-Associated Gene SLC25A32 as a Novel Prognostic and Immunotherapy Biomarker: From Pan-Cancer Multiomics Analysis to Breast Cancer Validation.Analytical cellular pathology (Amsterdam) · 2024Article
- Familial CCM Genes Might Not Be Main Drivers for Pathogenesis of Sporadic CCMs-Genetic Similarity between Cancers and Vascular Malformations.Journal of personalized medicine · 2023Review
- Article
- Pharmacogenetics of Anticancer Drugs: Clinical Response and Toxicity.Cancer treatment and research · 2023Article
- Genomic data integration and user-defined sample-set extraction for population variant analysis.BMC bioinformatics · 2022Article
- Driver gene detection through Bayesian network integration of mutation and expression profiles.Bioinformatics (Oxford, England) · 2022Article
- KIAA1199 Correlates With Tumor Microenvironment and Immune Infiltration in Lung Adenocarcinoma as a Potential Prognostic Biomarker.Pathology oncology research : POR · 2022Article
- A Germline Mutation in ATR Is Associated With Lung Adenocarcinoma in Asian Patients.Frontiers in oncology · 2022Article
- Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.Briefings in bioinformatics · 2021Article
- A computational and structural analysis of germline and somatic variants affecting the DDR mechanism, and their impact on human diseases.Scientific reports · 2021Article
- PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities.Cell systems · 2020Article
- uKIN Combines New and Prior Information with Guided Network Propagation to Accurately Identify Disease Genes.Cell systems · 2020Article
- Differential Allele-Specific Expression Uncovers Breast Cancer Genes Dysregulated by Cis Noncoding Mutations.Cell systems · 2020Article
- LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes.PLoS computational biology · 2019Article
- Quantifying gene selection in cancer through protein functional alteration bias.Nucleic acids research · 2019Article
- From Single Level Analysis to Multi-Omics Integrative Approaches: A Powerful Strategy towards the Precision Oncology.High-throughput · 2018Review
- Correction to: Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes.Genome medicine · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
Abstract
A major aim of cancer genomics is to pinpoint which somatically mutated genes are involved in tumor initiation and progression. We introduce a new framework for uncovering cancer genes, differential mutation analysis, which compares the mutational profiles of genes across cancer genomes with their natural germline variation across healthy individuals. We present DiffMut, a fast and simple approach for differential mutational analysis, and demonstrate that it is more effective in discovering cancer genes than considerably more sophisticated approaches. We conclude that germline variation across healthy human genomes provides a powerful means for characterizing somatic mutation frequency and identifying cancer driver genes. DiffMut is available at https://github.com/Singh-Lab/Differential-Mutation-Analysis .
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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.