ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011
Effect of population structure corrections on the results of association mapping tests in complex maize diversity panels.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Genome-Wide Association Study and Genomic Predictions for Hydroxycinnamate Concentrations in Maize Stover.Journal of agricultural and food chemistry · 2025Article
- Genetic dissection of nutrient element enrichment inFrontiers in plant science · 2025Article
- Genomic Architecture Predicts Tree Topology, Population Structuring, and Demographic History in Amazonian Birds.Genome biology and evolution · 2024Article
- Identifying the Genetic Basis of Mineral Elements in Rice Grain Using Genome-Wide Association Mapping.Genes · 2022Article
- MIDESP: Mutual Information-Based Detection of Epistatic SNP Pairs for Qualitative and Quantitative Phenotypes.Biology · 2021Article
- Dissection of the genetic variation and candidate genes of lint percentage by a genome-wide association study in upland cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Identifying favorable alleles for improving key agronomic traits in upland cotton.BMC plant biology · 2019Article
- Genome-wide association study discovered favorable single nucleotide polymorphisms and candidate genes associated with ramet number in ramie (Boehmeria nivea L.).BMC plant biology · 2018Article
- Linkage and association mapping reveals the genetic basis of brown fibre (Gossypium hirsutum).Plant biotechnology journal · 2018Article
- Haplotype Loci Under Selection in Canadian Durum Wheat Germplasm Over 60 Years of Breeding: Association With Grain Yield, Quality Traits, Protein Loss, and Plant Height.Frontiers in plant science · 2018Article
- Genome-Wide Association Study Identifies Candidate Genes Related to Seed Oil Composition and Protein Content inFrontiers in plant science · 2018Article
- Population structure and genetic basis of the agronomic traits of upland cotton in China revealed by a genome-wide association study using high-density SNPs.Plant biotechnology journal · 2017Article
- General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parents.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Article
- Genome-wide SSR-based association mapping for fiber quality in nation-wide upland cotton inbreed cultivars in China.BMC genomics · 2016Article
- Breeding patterns and cultivated beets origins by genetic diversity and linkage disequilibrium analyses.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015Article
- Intensive field phenotyping of maize (Zea mays L.) root crowns identifies phenes and phene integration associated with plant growth and nitrogen acquisition.Journal of experimental botany · 2015Article
- Developing a common bean core collection suitable for association mapping studies.Genetics and molecular biology · 2015Article
- Identification of associated SSR markers for yield component and fiber quality traits based on frame map and Upland cotton collections.PloS one · 2015Article
- Application of genomic SSR locus polymorphisms on the identification and classification of chrysanthemum cultivars in China.PloS one · 2014Article
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7 authors.
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Abstract
Association mapping of sequence polymorphisms underlying the phenotypic variability of quantitative agronomical traits is now a widely used method in plant genetics. However, due to the common presence of a complex genetic structure within the plant diversity panels, spurious associations are expected to be highly frequent. Several methods have thus been suggested to control for panel structure. They mainly rely on ad hoc criteria for selecting the number of ancestral groups; which is often not evident for the complex panels that are commonly used in maize. It was thus necessary to evaluate the effect of the selected structure models on the association mapping results. A real maize data set (342 maize inbred lines and 12,000 SNPs) was used for this study. The panel structure was estimated using both Bayesian and dimensional reduction methods, considering an increasing number of ancestral groups. Effect on association tests depends in particular on the number of ancestral groups and on the trait analyzed. The results also show that using a high number of ancestral groups leads to an over-corrected model in which all causal loci vanish. Finally the results of all models tested were combined in a meta-analysis approach. In this way, robust associations were highlighted for each analyzed trait.
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