ArticleNature genetics2010
Mixed linear model approach adapted for genome-wide association studies.
Article in Nature genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,175 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1,175 citing papers in PubMed.
- Feasibility and pitfalls of combining small subpopulations for genome-wide association analysis of maize (Zea mays L.) kernel traits.The plant genome · 2026Article
- Genome-wide association analysis of resistance to scald in an adapted multiparent winter malting barley population.The plant genome · 2026Article
- Article
- Review
- Integrative genomics and zero-shot deep learning-based phenotyping reveal the genetic architecture of seed traits in mungbean (Vigna radiata L.).The plant genome · 2026Article
- Development of an open-pollinated genetic mapping framework to facilitate the identification of QTL in apples.The plant genome · 2026Article
- Genome-wide association mapping of distinctness, uniformity and stability traits and varietal identification in rice (Oryza sativa L.).Journal of the science of food and agriculture · 2026Article
- Genome-wide association study in a US soft winter wheat population reveals novel and known sources of resistance to the Septoria tritici blotch pathogen Zymoseptoria tritici.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide linkage and association mapping identified a novel candidate gene, TaGLK-A1, underlying fructan content in wheat grain.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome shuffling enables quantitative trait locus mapping in Bacillus subtilis.Nature communications · 2026Article
- An expectation and maximization algorithm for multivariate genome-wide association studies (EMmvGWAS).Genetics · 2026Article
- MYB59 is Linked to Natural Variation of Water-Use Associated With Warmer Temperatures inPlant-environment interactions (Hoboken, N.J.) · 2026Article
- Mining ofHorticulture research · 2026Article
- From QTL to candidate genes: a data-driven approach to unravel the genetic architecture of yellow rust resistance in central European wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genetic Architecture of Grain Protein Content in Hulless Barley: Insights from Multi-Environment GWAS.Plants (Basel, Switzerland) · 2026Article
- Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review.BioData mining · 2026Review
- CuGen: A GPU-accelerated framework for large-scale genomics.medRxiv : the preprint server for health sciences · 2026Article
- GWAS-informed genomic selection for cold tolerance in pepper (Capsicum annuum L.).BMC plant biology · 2026Article
- Integrating multi-model GWAS prior information enhances genomic prediction of cold tolerance traits in Populus simonii.BMC plant biology · 2026Article
- Leave-One-Chromosome-Out Association Testing Decodes Uncapping Behaviour in Honeybees During Varroa destructor Infestation.Veterinary medicine and science · 2026Article
1,115 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
11 authors.
Funding
Abstract
Mixed linear model (MLM) methods have proven useful in controlling for population structure and relatedness within genome-wide association studies. However, MLM-based methods can be computationally challenging for large datasets. We report a compression approach, called 'compressed MLM', that decreases the effective sample size of such datasets by clustering individuals into groups. We also present a complementary approach, 'population parameters previously determined' (P3D), that eliminates the need to re-compute variance components. We applied these two methods both independently and combined in selected genetic association datasets from human, dog and maize. The joint implementation of these two methods markedly reduced computing time and either maintained or improved statistical power. We used simulations to demonstrate the usefulness in controlling for substructure in genetic association datasets for a range of species and genetic architectures. We have made these methods available within an implementation of the software program TASSEL.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.