ArticleNature methods2014
Efficient multivariate linear mixed model algorithms for genome-wide association studies.
Article in Nature methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 484 papers, 5 of them syntheses that pooled it.
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Who cites it
484 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals.Nature medicine · 2023Pooled it
- Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci.PLoS genetics · 2023Pooled it
- Comparison of two multi-trait association testing methods and sequence-based fine mapping of six additive QTL in Swiss Large White pigs.BMC genomics · 2023Pooled it
- Integration ofFrontiers in immunology · 2023Pooled it
- Genome-wide meta-analysis of alcohol use disorder in East Asians.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Pooled it
- A genome-wide association study of cognitive impairment in a Chinese cohort of 1,040 individuals.Human genetics · 2026Article
- Genome-Wide Association Study of Spawning Traits and Candidate Gene Mining inInternational journal of molecular sciences · 2026Article
- Machine learning and statistical methods for molecular quantitative trait loci.Nature reviews. Genetics · 2026Review
- Review
- Multivariate Genome-Wide Association Analysis Identifies Genetic Susceptibility Loci for Metabolic Syndrome in the Korean Genome and Epidemiology Study.International journal of molecular sciences · 2026Article
- An expectation and maximization algorithm for multivariate genome-wide association studies (EMmvGWAS).Genetics · 2026Article
- Genomic and Morphological Insights Into the Adaptive Evolution of Honeybees in Rocky Desertification Habitats.Ecology and evolution · 2026Article
- The influence of structural variants from 2445 pigs on gene expression and complex traits.Nature communications · 2026Article
- Exploratory Genome and Transcriptome-Wide Association Analyses of Addiction-Related Phenotypes in a Twin Cohort.Biomedicines · 2026Article
- Research on multi-trait genome association study method based on Shannon information entropy.BMC bioinformatics · 2026Article
- Graph-based pan-genome reveals structural variations associated with agronomic traits in mung bean.Nature genetics · 2026Article
- Genetic architecture of angular leaf spot resistance in cultivated strawberry shaped by epistasis and genotype-by-environment interactions.The plant genome · 2026Article
- Whole-genome resequencing revealed genetic diversity and the haplotype containing MC1R associated with black coat color in Liangshan sheep.BMC genomics · 2026Article
- Genomic and genetic dissection of drought tolerance in a resilient wheat germplasm JIN50.Nature genetics · 2026Article
- Predicting growth, water-use efficiency and drought response through machine learning, GWAS and differential expression in Ponderosa pine.BMC plant biology · 2026Article
424 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
Multivariate linear mixed models (mvLMMs) are powerful tools for testing associations between single-nucleotide polymorphisms and multiple correlated phenotypes while controlling for population stratification in genome-wide association studies. We present efficient algorithms in the genome-wide efficient mixed model association (GEMMA) software for fitting mvLMMs and computing likelihood ratio tests. These algorithms offer improved computation speed, power and P-value calibration over existing methods, and can deal with more than two phenotypes.
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