ArticleGenetics2012
On the prospects of whole-genome association mapping in Saccharomyces cerevisiae.
Article in Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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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
26 citing papers in PubMed.
- CYClones: a highly powered, fully genotyped, eight-parent yeast mapping population.G3 (Bethesda, Md.) · 2026Article
- From one genome to thousands, and beyond.FEMS yeast research · 2026Review
- CYClones: A highly powered, fully genotyped, 8-parent yeast mapping population.bioRxiv : the preprint server for biology · 2025Article
- High-throughput approaches to functional characterization of genetic variation in yeast.Current opinion in genetics & development · 2022Review
- Extensive simulations assess the performance of genome-wide association mapping in variousPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Population genomics of the pathogenic yeast Candida tropicalis identifies hybrid isolates in environmental samples.PLoS pathogens · 2021Article
- Mrx6 regulates mitochondrial DNA copy number inMolecular biology of the cell · 2020Article
- Genome-Wide Signatures of Selection inFrontiers in microbiology · 2019Article
- Genome-wide association across Saccharomyces cerevisiae strains reveals substantial variation in underlying gene requirements for toxin tolerance.PLoS genetics · 2018Article
- Review
- High-resolution mapping ofProceedings of the National Academy of Sciences of the United States of America · 2017Article
- Deciphering the Genic Basis of Yeast Fitness Variation by Simultaneous Forward and Reverse Genetics.Molecular biology and evolution · 2017Article
- Association Mapping Reveals Genetic Loci Associated with Important Agronomic Traits inFrontiers in microbiology · 2017Article
- Using Population and Comparative Genomics to Understand the Genetic Basis of Effector-Driven Fungal Pathogen Evolution.Frontiers in plant science · 2017Review
- Bacterial Genetic Architecture of Ecological Interactions in Co-culture by GWAS-TakingFrontiers in microbiology · 2017Article
- Sequencing consolidates molecular markers with plant breeding practice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015Review
- The 100-genomes strains, an S. cerevisiae resource that illuminates its natural phenotypic and genotypic variation and emergence as an opportunistic pathogen.Genome research · 2015Article
- A high-definition view of functional genetic variation from natural yeast genomes.Molecular biology and evolution · 2014Article
- Discovering functions of unannotated genes from a transcriptome survey of wild fungal isolates.mBio · 2014Article
- Integrative phenomics reveals insight into the structure of phenotypic diversity in budding yeast.Genome research · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Advances in sequencing technology have enabled whole-genome sequences to be obtained from multiple individuals within species, particularly in model organisms with compact genomes. For example, 36 genome sequences of Saccharomyces cerevisiae are now publicly available, and SNP data are available for even larger collections of strains. One potential use of these resources is mapping the genetic basis of phenotypic variation through genome-wide association (GWA) studies, with the benefit that associated variants can be studied experimentally with greater ease than in outbred populations such as humans. Here, we evaluate the prospects of GWA studies in S. cerevisiae strains through extensive simulations and a GWA study of mitochondrial copy number. We demonstrate that the complex and heterogeneous patterns of population structure present in yeast populations can lead to a high type I error rate in GWA studies of quantitative traits, and that methods typically used to control for population stratification do not provide adequate control of the type I error rate. Moreover, we show that while GWA studies of quantitative traits in S. cerevisiae may be difficult depending on the particular set of strains studied, association studies to map cis-acting quantitative trait loci (QTL) and Mendelian phenotypes are more feasible. We also discuss sampling strategies that could enable GWA studies in yeast and illustrate the utility of this approach in Saccharomyces paradoxus. Thus, our results provide important practical insights into the design and interpretation of GWA studies in yeast, and other model organisms that possess complex patterns of population structure.
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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.