ReviewCurrent opinion in genetics & development2019
Genetic interaction networks in cancer cells.
Review in Current opinion in genetics & development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- Protein-protein interactions are a major source of epistasis in genetic interaction networks.Nature communications · 2026Article
- A Chemical-Genetic Interaction Matrix Reveals Drug Mechanism and Genetic Architecture.bioRxiv : the preprint server for biology · 2026Article
- From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies.Molecular biotechnology · 2025Review
- Evaluation of Cas13d as a tool for genetic interaction mapping.Nature communications · 2025Article
- Graphlet-based hyperbolic embeddings capture evolutionary dynamics in genetic networks.Bioinformatics (Oxford, England) · 2024Article
- Nuclear proteasomes buffer cytoplasmic proteins during autophagy compromise.Nature cell biology · 2024Article
- Keep in touch: a perspective on the mitochondrial social network and its implication in health and disease.Cell death discovery · 2023Review
- High Lethality ofInfection and immunity · 2023Article
- High-Throughput Identification, Modeling, and Analysis of Cancer Driver Genes In Vivo.Cold Spring Harbor perspectives in medicine · 2023Review
- Rapid lethality of mice lacking the phagocyte oxidase and Caspase1/11 followingbioRxiv : the preprint server for biology · 2023Article
- Genetic interactions of schizophrenia using gene-based statistical epistasis exclusively identify nervous system-related pathways and key hub genes.Frontiers in genetics · 2023Article
- A New View of Activating Mutations in Cancer.Cancer research · 2022Article
- CRISPR in cancer biology and therapy.Nature reviews. Cancer · 2022Review
- Paralogous synthetic lethality underlies genetic dependencies of the cancer-mutated geneLife science alliance · 2021Article
- Genetic interactions effects for cancer disease identification using computational models: a review.Medical & biological engineering & computing · 2021Review
- Disruption of the MSL complex inhibits tumour maintenance by exacerbating chromosomal instability.Nature cell biology · 2021Article
- Identifying key questions in the ecology and evolution of cancer.Evolutionary applications · 2021Article
- Cost-Effective Mapping of Genetic Interactions in Mammalian Cells.Frontiers in genetics · 2021Article
- Article
- The Pathophysiology of Rett Syndrome With a Focus on Breathing Dysfunctions.Physiology (Bethesda, Md.) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The genotype-to-phenotype relationship in health and disease is complex and influenced by both an individual's environment and their unique genome. Personal genetic variants can modulate gene function to generate a phenotype either through a single gene effect or through genetic interactions involving two or more genes. The relevance of genetic interactions to disease phenotypes has been particularly clear in cancer research, where an extreme genetic interaction, synthetic lethality, has been exploited as a therapeutic strategy. The obvious benefits of unmasking genetic background-specific vulnerabilities, coupled with the power of systematic genome editing, have fueled efforts to translate genetic interaction mapping from model organisms to human cells. Here, we review recent developments in genetic interaction mapping, with a focus on CRISPR-based genome editing technologies and cancer.
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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.