ArticleNature methods2010
Quantitative analysis of fitness and genetic interactions in yeast on a genome scale.
Article in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 236 papers, 1 of them a synthesis that pooled it.
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Who cites it
236 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Synthetic lethal gene pairs: Experimental approaches and predictive models.Frontiers in genetics · 2022Pooled it
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- Modular PheWAS reveals the therapeutic heterogeneity landscape of Danghong injection on stable angina pectoris.Molecular biomedicine · 2026Article
- The Nematicide Tioxazafen Disrupts Proteasome Function via Cytochrome P450 Bioactivation.bioRxiv : the preprint server for biology · 2026Article
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- UGA4 and YBR062C Regulate Oxidative Stress Tolerance Under Heavy Metal Toxicity.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Expanding TheCellMap.org to visualize a genome-scale genetic interaction network for a human cell line.bioRxiv : the preprint server for biology · 2026Article
- Global genetic rewiring during compensatory evolution in the yeast polarity network.EMBO reports · 2026Article
- Time-resolved functional genomics using deep learning reveals global hierarchical control of autophagy.Nature cell biology · 2026Article
- Synonymous codon usage defines functional gene families.BMC biology · 2026Article
- Quantitative analysis of genetic interactions in human cells from genome-wide CRISPR-Cas9 screens.bioRxiv : the preprint server for biology · 2026Article
- Meta-Research: Positive genetic interactions have greater scientific impact but are under-represented in the literature.bioRxiv : the preprint server for biology · 2025Article
- Article
- AlphaDesign: a de novo protein design framework based on AlphaFold.Molecular systems biology · 2025Article
- A global genetic interaction map of a human cell reveals conserved principles of genetic networks.bioRxiv : the preprint server for biology · 2025Article
- A mathematical framework for the quantitative analysis of genetic buffering.PLoS genetics · 2025Article
- Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq.Nature communications · 2025Article
- Resolving discrepancies between chimeric and multiplicative measures of higher-order epistasis.Nature communications · 2025Article
- Genome-wide conditional degron libraries for functional genomics.The Journal of cell biology · 2025Article
- Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq.bioRxiv : the preprint server for biology · 2025Article
176 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Global quantitative analysis of genetic interactions is a powerful approach for deciphering the roles of genes and mapping functional relationships among pathways. Using colony size as a proxy for fitness, we developed a method for measuring fitness-based genetic interactions from high-density arrays of yeast double mutants generated by synthetic genetic array (SGA) analysis. We identified several experimental sources of systematic variation and developed normalization strategies to obtain accurate single- and double-mutant fitness measurements, which rival the accuracy of other high-resolution studies. We applied the SGA score to examine the relationship between physical and genetic interaction networks, and we found that positive genetic interactions connect across functionally distinct protein complexes revealing a network of genetic suppression among loss-of-function alleles.
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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.