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DriverPower: Combined burden and functional impact tests for cancer driver discovery
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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SRSF1 and SRSF9 RNA binding proteins promote Wnt signalling‐mediated tumorigenesis by enhancing β‐catenin biosynthesis
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Validation of an LC‐MS based approach for profiling histones in chronic lymphocytic leukemia
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Regression-based tests for overdispersion in the Poisson model
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Physical Association and Coordinate Function of the H3 K4 Methyltransferase MLL1 and the H4 K16 Acetyltransferase MOF
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Lessons from the Cancer Genome
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Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma
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MOF Acetylates the Histone Demethylase LSD1 to Suppress Epithelial-to-Mesenchymal Transition
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Acetylation of the p53 DNA-Binding Domain Regulates Apoptosis Induction
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Gene expression profiling predicts clinical outcome of breast cancer
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Highly recurrent mutations of SGK1, DUSP2 and JUNB in nodular lymphocyte predominant Hodgkin lymphoma
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Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma
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An integrated encyclopedia of DNA elements in the human genome
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Chromatin organization is a major influence on regional mutation rates in human cancer cells
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Mutational heterogeneity in cancer and the search for new cancer-associated genes
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Cell-of-origin chromatin organization shapes the mutational landscape of cancer
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Integrative analysis of 111 reference human epigenomes
inferredcites →https://doi.org/10.1038/nature17437openalex-snapshot
Differential DNA repair underlies mutation hotspots at active promoters in cancer genomes
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Nucleotide excision repair is impaired by binding of transcription factors to DNA
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Recurrent and functional regulatory mutations in breast cancer
inferredcites →https://doi.org/10.1038/nature23085openalex-snapshot
Less is more in the hunt for driver mutations
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MEF2B mutations in non-Hodgkin lymphoma dysregulate cell migration by decreasing MEF2B target gene activation
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Somatic histone H3 alterations in pediatric diffuse intrinsic pontine gliomas and non-brainstem glioblastomas
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A general framework for estimating the relative pathogenicity of human genetic variants
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Identification of significantly mutated regions across cancer types highlights a rich landscape of functional molecular alterations
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A spectral approach integrating functional genomic annotations for coding and noncoding variants
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Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data
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Protein elongation factor EEF1A2 is a putative oncogene in ovarian cancer
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Hypermutation in human cancer genomes: footprints and mechanisms
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The mini-driver model of polygenic cancer evolution
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Role of non-coding sequence variants in cancer
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Expression of eEF1A2 is associated with clear cell histology in ovarian carcinomas: overexpression of the gene is not dependent on modifications at the EEF1A2 locus
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Males absent on the first (MOF): from flies to humans
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Discovery of Cancer Driver Long Noncoding RNAs across 1112 Tumour Genomes: New Candidates and Distinguishing Features
inferredcites →https://doi.org/10.1056/nejmp1607591openalex-snapshot
Toward a Shared Vision for Cancer Genomic Data
inferredcites →https://doi.org/10.1073/pnas.1121343109openalex-snapshot
Discovery and prioritization of somatic mutations in diffuse large B-cell lymphoma (DLBCL) by whole-exome sequencing
inferredcites →https://doi.org/10.1073/pnas.1205299110openalex-snapshot
Genetic heterogeneity of diffuse large B-cell lymphoma
inferredcites →https://doi.org/10.1073/pnas.1213968110openalex-snapshot
Impact of deleterious passenger mutations on cancer progression
inferredcites →https://doi.org/10.1074/jbc.m114.571000openalex-snapshot
GPR126 Protein Regulates Developmental and Pathological Angiogenesis through Modulation of VEGFR2 Receptor Signaling
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BEDTools: a flexible suite of utilities for comparing genomic features
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BigWig and BigBed: enabling browsing of large distributed datasets
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DANN: a deep learning approach for annotating the pathogenicity of genetic variants
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The UCSC Genome Browser database: update 2011
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ENCODE Data in the UCSC Genome Browser: year 5 update
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Increasing the complexity of chromatin: functionally distinct roles for replication-dependent histone H2A isoforms in cell proliferation and carcinogenesis
inferredcites →https://doi.org/10.1093/nar/gku1075openalex-snapshot
COSMIC: exploring the world's knowledge of somatic mutations in human cancer
inferredcites →https://doi.org/10.1093/nar/gku1177openalex-snapshot
The UCSC Genome Browser database: 2015 update
inferredcites →https://doi.org/10.1093/nar/gkv803openalex-snapshot
LARVA: an integrative framework for large-scale analysis of recurrent variants in noncoding annotations
inferredcites →https://doi.org/10.1101/181339openalex-snapshot
Patterns of structural variation in human cancer
inferredcites →https://doi.org/10.1101/183889openalex-snapshot
Genomic basis for RNA alterations revealed by whole-genome analyses of 27 cancer types
inferredcites →https://doi.org/10.1101/gr.135350.111openalex-snapshot
GENCODE: The reference human genome annotation for The ENCODE Project
inferredcites →https://doi.org/10.1101/gr.3461105openalex-snapshot
Why do human diversity levels vary at a megabase scale?
inferredcites →https://doi.org/10.1111/j.2517-6161.1995.tb02031.xopenalex-snapshot
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
inferredcites →https://doi.org/10.1126/science.1229259openalex-snapshot
Highly Recurrent TERT Promoter Mutations in Human Melanoma
inferredcites →https://doi.org/10.1126/science.1259037openalex-snapshot
An oncogenic super-enhancer formed through somatic mutation of a noncoding intergenic element
inferredcites →https://doi.org/10.1126/science.aab4082openalex-snapshot
Somatic mutation in cancer and normal cells
inferredcites →https://doi.org/10.1126/science.aae0065openalex-snapshot
The histone H3.3K36M mutation reprograms the epigenome of chondroblastomas
inferredcites →https://doi.org/10.1128/mcb.25.12.5292-5305.2005openalex-snapshot
Involvement of Human MOF in ATM Function
inferredcites →https://doi.org/10.1145/2939672openalex-snapshot
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1158/1538-7445.am2017-385openalex-snapshot
Abstract 385: Network-driven discovery of cancer drivers and pathways using 2,500 whole cancer genomes
inferredcites →https://doi.org/10.1186/1471-2407-5-113openalex-snapshot
Translation elongation factor eEF1A2 is a potential oncoprotein that is overexpressed in two-thirds of breast tumours
inferredcites →https://doi.org/10.1186/s13059-016-0994-0openalex-snapshot
OncodriveFML: a general framework to identify coding and non-coding regions with cancer driver mutations
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.3892/ijo.2015.2956openalex-snapshot
Expression of hMOF, but not HDAC4, is responsible for the global histone H4K16 acetylation in gastric carcinoma
inferredcites →https://doi.org/10.4137/bmi.s6184openalex-snapshot
Biological Functions of the Genes in the Mammaprint Breast Cancer Profile Reflect the Hallmarks of Cancer
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
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Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.molcel.2019.12.027openalex-snapshot
Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks
inferred← citeshttps://doi.org/10.1038/s41586-019-1651-zopenalex-snapshot
The U1 spliceosomal RNA is recurrently mutated in multiple cancers
inferred← citeshttps://doi.org/10.1038/s41586-020-1965-xopenalex-snapshot
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
inferred← citeshttps://doi.org/10.1038/s41588-018-0331-5openalex-snapshot
The landscape of selection in 551 esophageal adenocarcinomas defines genomic biomarkers for the clinic
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