ReviewPlant methods2013
The advantages and limitations of trait analysis with GWAS: a review.
Review in Plant methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 818 papers, 4 of them syntheses that pooled it.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
818 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Genomic dissection of methane emission traits in cattle: A meta-GWAS and heritability analysis across populations.PloS one · 2026Pooled it
- Meta-Analysis of QTL Mapping and GWAS Reveal Candidate Genes for Heat Tolerance in Small Yellow Croaker,International journal of molecular sciences · 2025Pooled it
- A meta-analysis of genome-wide association studies to identify candidate genes associated with feed efficiency traits in pigs.Journal of animal science · 2025Pooled it
- Genome-wide association studies meta-analysis uncovers NOJO and SGS3 novel genes involved in Arabidopsis thaliana primary root development and plasticity.Molecular biology reports · 2024Pooled it
- Multi-isolate GWAS identifies broad-spectrum and isolate-specific resistance-associated loci for Septoria tritici blotch in synthetic hexaploid wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Translating functional molecular knowledge into crop-breeding success.Nature reviews. Genetics · 2026Review
- Genomic insights into end-use grain quality and nutritional traits of an ancient Indian dwarf wheat ( Triticum sphaerococcum Percival) population using a multi-locus genome-wide association study.Journal of the science of food and agriculture · 2026Article
- Review
- High-Density Genome-Wide Association Mapping Identifies Candidate Loci Associated with Maize Stalk Cell Wall Composition.Plants (Basel, Switzerland) · 2026Article
- Meta-QTL Analysis Reveals Consensus Genomic Regions and Candidate Genes for Resistance to Sudden Death Syndrome in Soybean.Plants (Basel, Switzerland) · 2026Article
- Genetic insights into bacterial wilt resistance using genomic prediction and association mapping in blueberry.The plant genome · 2026Article
- Targeted population genomics uncovers demographic history and genetic divergence in north American wild cranberry.Horticulture research · 2026Article
- Genomic prediction in quinoa across contrasting environments using statistical and machine learning models.The plant genome · 2026Article
- Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.Genetic epidemiology · 2026Article
- Conditionally Significant eQTL and TWAS Analyses Identify MsRD26 as a Major Candidate Positive Regulator of Salt Tolerance in Medicago sativa L.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Identifying marker-trait associations for wheat stem sawfly resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- In Situ GWAS in Two Range-Edge Populations of European Beech (Fagus sylvatica L.) Identify Genetic Factors of Adaptation to Climate Change.Molecular ecology · 2026Article
- Genomic Predictors of Diapause Polymorphism in the Bark Beetle Ips typographus With Implications for Voltinism Potential and Outbreak Dynamics.Molecular ecology · 2026Article
- Highly Polygenic Control of Photosynthetic Responses to Nighttime Temperature Studied by Genomic Prediction.Plant, cell & environment · 2026Article
- Genetic Mapping of Quantitative Trait Loci Contributing to Variation in In Vitro Deoxynivalenol Levels inToxins · 2026Article
758 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the last 10 years, high-density SNP arrays and DNA re-sequencing have illuminated the majority of the genotypic space for a number of organisms, including humans, maize, rice and Arabidopsis. For any researcher willing to define and score a phenotype across many individuals, Genome Wide Association Studies (GWAS) present a powerful tool to reconnect this trait back to its underlying genetics. In this review we discuss the biological and statistical considerations that underpin a successful analysis or otherwise. The relevance of biological factors including effect size, sample size, genetic heterogeneity, genomic confounding, linkage disequilibrium and spurious association, and statistical tools to account for these are presented. GWAS can offer a valuable first insight into trait architecture or candidate loci for subsequent validation.
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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.