ArticleNature2010
Dissection of genetically complex traits with extremely large pools of yeast segregants.
Article in Nature, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 269 papers.
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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.
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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.
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Who cites it
269 citing papers in PubMed.
- CYClones: a highly powered, fully genotyped, eight-parent yeast mapping population.G3 (Bethesda, Md.) · 2026Article
- Synthetic Chromosomes in Yeast: A Platform for Understanding and Programming Eukaryotic Life.Microbial biotechnology · 2026Review
- Pervasive context-dependent effects in the genetic architecture of complex and quantitative traits revealed by a powerful multiparent mapping population in yeast.PLoS genetics · 2026Article
- NAM-BSA: A Bulked Segregant Analysis Method Using a NAM Population.Plants (Basel, Switzerland) · 2026Article
- The illusion of polygenicity in pool-seq genetic mapping studies: insufficient power can mask simple genetic architectures.Genetics · 2026Article
- High-resolution genotype-free mapping of genetic variation with CRI-SPA-Map.Genome research · 2026Article
- Laboratory yeast crosses reveal limited epistasis in the genetic basis of complex traits.bioRxiv : the preprint server for biology · 2026Article
- QTL mapping, breeding, and debugging Saccharomyces cerevisiae strains through Reiterated Mass Selection and backcrosSing (ReMaSSing).Biotechnology for biofuels and bioproducts · 2026Article
- Leveraging low-cost short-read sequencing: revolutionizing complex trait genetics.Molecular biology and evolution · 2026Article
- Integrating synthetic biology and process engineering for enhanced isobutanol biosynthesis yield and sustainability.Biotechnology for biofuels and bioproducts · 2026Review
- Discovery and validation of ASG1 as a novel determinant of NaCl tolerance in the yeast Saccharomyces cerevisiae through iterative crossing.G3 (Bethesda, Md.) · 2026Article
- From one genome to thousands, and beyond.FEMS yeast research · 2026Review
- Article
- Target gene mutation discovery and amplicon sequencing for evaluating maduramicin resistance in Eimeria tenella.Communications biology · 2025Article
- Extreme QTL mapping enables the identification of novel zinc toxicity response loci in Drosophila melanogaster.Genetics · 2025Article
- Article
- Predicting natural variation in the yeast phenotypic landscape with machine learning.Molecular systems biology · 2025Article
- The yeast Mkt1/Pbp1 complex promotes adaptive responses to respiratory growth.The Journal of cell biology · 2025Article
- High-resolution, genotype-free mapping of genetic variation with CRI-SPA-Map.bioRxiv : the preprint server for biology · 2025Article
- Refining the resolution of the yeast genotype-phenotype map using single-cell RNA-sequencing.eLife · 2025Article
209 more citing papers are in PubMed but not listed here.
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9 authors.
Funding
Abstract
Most heritable traits, including many human diseases, are caused by multiple loci. Studies in both humans and model organisms, such as yeast, have failed to detect a large fraction of the loci that underlie such complex traits. A lack of statistical power to identify multiple loci with small effects is undoubtedly one of the primary reasons for this problem. We have developed a method in yeast that allows the use of much larger sample sizes than previously possible and hence permits the detection of multiple loci with small effects. The method involves generating very large numbers of progeny from a cross between two Saccharomyces cerevisiae strains and then phenotyping and genotyping pools of these offspring. We applied the method to 17 chemical resistance traits and mitochondrial function, and identified loci for each of these phenotypes. We show that the level of genetic complexity underlying these quantitative traits is highly variable, with some traits influenced by one major locus and others by at least 20 loci. Our results provide an empirical demonstration of the genetic complexity of a number of traits and show that it is possible to identify many of the underlying factors using straightforward techniques. Our method should have broad applications in yeast and can be extended to other organisms.
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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.