ArticleNature genetics2012
An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations.
Article in Nature genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 593 papers.
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Who cites it
593 citing papers in PubMed.
- Genome-wide association analysis of resistance to scald in an adapted multiparent winter malting barley population.The plant genome · 2026Article
- High-resolution GWAS and diagnostic functional marker development for leaf shape in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide association studies of body weight, body conformation traits and coat color in Gamba sheep.Animal bioscience · 2026Article
- Multi-Season Multi-Model GWAS Prioritizes Stable Genomic Loci and Candidate Genes for Six Agronomic Traits in Soybean Under Conditions in Southeastern Kazakhstan.Plants (Basel, Switzerland) · 2026Article
- Pinpointing genomic regions conferring herbicide tolerance in cassava via genome-wide association mapping.Plant molecular biology · 2026Article
- Genetic architecture and evolution of stripe rust resistance uncovered using diverse panels of wheat lines and North American Puccinia striiformis f. sp. tritici isolates.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Development of an open-pollinated genetic mapping framework to facilitate the identification of QTL in apples.The plant genome · 2026Article
- Uncovering the genetic basis of fruit volatiles inHorticulture research · 2026Article
- Genome-Wide Association Study and Genomic Selection for Average Daily Gain in Ashidan Yak.Animals : an open access journal from MDPI · 2026Article
- Accurate genomic predictions for chronic wasting disease in North American elk.G3 (Bethesda, Md.) · 2026Article
- Early Response QTLs and DEGs Underlying Oil Palm Resistance toMicroorganisms · 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
- Candidate genes for stem rust resistance in Italian ryegrass revealed by nested association mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide detection and genomic selection based on genotype-by-environment interaction-associated signals for yak coat color.BMC genomics · 2026Article
- GWAS-informed genomic selection for cold tolerance in pepper (Capsicum annuum L.).BMC plant biology · 2026Article
- Research on multi-trait genome association study method based on Shannon information entropy.BMC bioinformatics · 2026Article
- A comparative approach for selecting orthologous candidate genes in genome-wide association studies across multiple species.Plant physiology · 2026Article
- A k-mer-based genome-wide association study approach empowering gene mining in polyploids.Nature genetics · 2026Article
- Whole genome sequencing-based multi-locus association mapping for kernel iron, zinc and protein content in groundnut.Scientific reports · 2026Article
- Genetic dissection of protein content in cowpea using custom-made NIRS equations and GWAS as a model for nutritional breeding and undergraduate research training.G3 (Bethesda, Md.) · 2026Article
533 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
Funding
Abstract
Population structure causes genome-wide linkage disequilibrium between unlinked loci, leading to statistical confounding in genome-wide association studies. Mixed models have been shown to handle the confounding effects of a diffuse background of large numbers of loci of small effect well, but they do not always account for loci of larger effect. Here we propose a multi-locus mixed model as a general method for mapping complex traits in structured populations. Simulations suggest that our method outperforms existing methods in terms of power as well as false discovery rate. We apply our method to human and Arabidopsis thaliana data, identifying new associations and evidence for allelic heterogeneity. We also show how a priori knowledge from an A. thaliana linkage mapping study can be integrated into our method using a Bayesian approach. Our implementation is computationally efficient, making the analysis of large data sets (n > 10,000) practicable.
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