ArticleG3 (Bethesda, Md.)2022
Evaluating the power and limitations of genome-wide association studies in Caenorhabditis elegans.
Article in G3 (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Discovery and characterization of gene-by-environment and epistatic genetic effects in a vertebrate model.Cell genomics · 2026Article
- Natural variation suggests candidate genes underlying Caenorhabditis elegans susceptibility to diverse toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Evidence for natural selection shaping the evolution of collective behavior among globalbioRxiv : the preprint server for biology · 2026Article
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- Wild strains reveal natural variation in C. elegans avoidance behaviors.G3 (Bethesda, Md.) · 2025Article
- Natural variation suggests candidate genes underlyingbioRxiv : the preprint server for biology · 2025Article
- Dynamic control of Argonautes by a rapidly evolving immunological switch.Current biology : CB · 2025Article
- Genome-specific association study (GSAS) for exploration of variability in hemp (Cannabis sativa).Scientific reports · 2025Article
- High-throughput developmental assay of cold tolerance inmicroPublication biology · 2025Article
- Naturally occurring variation in a cytochrome P450 modifies thiabendazole responses independently of beta-tubulin.PLoS pathogens · 2025Article
- Life history in Caenorhabditis elegans: from molecular genetics to evolutionary ecology.Genetics · 2024Review
- Transposon-mediated genic rearrangements underlie variation in small RNA pathways.Science advances · 2024Article
- Glial expression of a steroidogenic enzyme underlies natural variation in hitchhiking behavior.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- How do stochastic processes and genetic threshold effects explain incomplete penetrance and inform causal disease mechanisms?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Natural variation in theeLife · 2024Article
- CaeNDR, the Caenorhabditis Natural Diversity Resource.Nucleic acids research · 2024Article
- Integrating External Controls by Regression Calibration for Genome-Wide Association Study.Genes · 2024Article
- Natural genetic variation in the pheromone production ofProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Repurposing degradation pathways for modular metabolite biosynthesis in nematodes.Nature chemical biology · 2023Review
- Interplay Between Polymorphic Short Tandem Repeats and Gene Expression Variation in Caenorhabditis elegans.Molecular biology and evolution · 2023Article
Corrections and comments
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4 authors.
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Abstract
Quantitative genetics in Caenorhabditis elegans seeks to identify naturally segregating genetic variants that underlie complex traits. Genome-wide association studies scan the genome for individual genetic variants that are significantly correlated with phenotypic variation in a population, or quantitative trait loci. Genome-wide association studies are a popular choice for quantitative genetic analyses because the quantitative trait loci that are discovered segregate in natural populations. Despite numerous successful mapping experiments, the empirical performance of genome-wide association study has not, to date, been formally evaluated in C. elegans. We developed an open-source genome-wide association study pipeline called NemaScan and used a simulation-based approach to provide benchmarks of mapping performance in collections of wild C. elegans strains. Simulated trait heritability and complexity determined the spectrum of quantitative trait loci detected by genome-wide association studies. Power to detect smaller-effect quantitative trait loci increased with the number of strains sampled from the C. elegans Natural Diversity Resource. Population structure was a major driver of variation in mapping performance, with populations shaped by recent selection exhibiting significantly lower false discovery rates than populations composed of more divergent strains. We also recapitulated previous genome-wide association studies of experimentally validated quantitative trait variants. Our simulation-based evaluation of performance provides the community with critical context to pursue quantitative genetic studies using the C. elegans Natural Diversity Resource to elucidate the genetic basis of complex traits in C. elegans natural populations.
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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.