ArticleHeredity2021
Revisiting a GWAS peak in Arabidopsis thaliana reveals possible confounding by genetic heterogeneity.
Article in Heredity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Major alleles of CDCA7 shape CG methylation in Arabidopsis thaliana.Nature plants · 2025Article
- Life-history trade-offs explain local adaptation inbioRxiv : the preprint server for biology · 2025Article
- Beyond the Standard GWAS-A Guide for Plant Biologists.Plant & cell physiology · 2025Review
- Dual-trait genomic analysis in highly stratified Arabidopsis thaliana populations using genome-wide association summary statistics.Heredity · 2024Article
- Identification of Genomic Regions for Traits Associated with Flowering in Cassava (Plants (Basel, Switzerland) · 2024Article
- Mega-scale Bayesian regression methods for genome-wide prediction and association studies with thousands of traits.Genetics · 2023Article
- Conditional GWAS of non-CG transposon methylation in Arabidopsis thaliana reveals major polymorphisms in five genes.PLoS genetics · 2022Article
- Crafting for a better MAGIC: systematic design and test for Multiparental Advanced Generation Inter-Cross population.G3 (Bethesda, Md.) · 2021Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) have become a standard approach for exploring the genetic basis of phenotypic variation. However, correlation is not causation, and only a tiny fraction of all associations have been experimentally confirmed. One practical problem is that a peak of association does not always pinpoint a causal gene, but may instead be tagging multiple causal variants. In this study, we reanalyze a previously reported peak associated with flowering time traits in Swedish Arabidopsis thaliana population. The peak appeared to pinpoint the AOP2/AOP3 cluster of glucosinolate biosynthesis genes, which is known to be responsible for natural variation in herbivore resistance. Here we propose an alternative hypothesis, by demonstrating that the AOP2/AOP3 flowering association can be wholly accounted for by allelic variation in two flanking genes with clear roles in regulating flowering: NDX1, a regulator of the main flowering time controller FLC, and GA1, which plays a central role in gibberellin synthesis and is required for flowering under some conditions. In other words, we propose that the AOP2/AOP3 flowering-time association may be yet another example of a spurious, "synthetic" association, arising from trying to fit a single-locus model in the presence of two statistically associated causative loci. We conclude that caution is needed when using GWAS for fine-mapping.
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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.