ArticleBMC biology2014
Enrichment of statistical power for genome-wide association studies.
Article in BMC biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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Who cites it
72 citing papers in PubMed.
- Preliminary mapping of wheat (Triticum aestivum L.) tolerance genes to the English grain aphid (Sitobion avenae Fabricius) by genome-wide association study.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide association identifies and validates genomic region controlling grain yield and agronomic traits in extra-early orange maize inbred lines under drought.Scientific reports · 2026Article
- A k-mer-based genome-wide association study approach empowering gene mining in polyploids.Nature genetics · 2026Article
- Genome-wide association studies in horticultural crops: decoding genetic diversity for precision breeding.Horticulture research · 2026Article
- GAPIT version 4: integration of GWAS into genomic prediction.Molecular biology and evolution · 2026Article
- Genome-wide association studies for identification of QTLs and key candidate genes to improve grain quality in rice (Food chemistry. Molecular sciences · 2025Article
- Unraveling the genetic architecture of anti-nutritional factors in soybean (Glycine max.) for nutritional enhancement.Scientific reports · 2025Article
- Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm.BMC plant biology · 2025Article
- Deciphering the regulatory network of carbon isotope discrimination in bread wheat through genome-wide association studies and genomic prediction.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genome-wide association study of blood vitamin D metabolites and bone remodelling markers in pigs.BMC genomics · 2025Article
- The Genome of Lolium multiflorum Reveals the Genetic Architecture of Paraquat Resistance.Molecular ecology · 2025Article
- Article
- Reframing Formalin: A Molecular Opportunity Enabling Historical Epigenomics and Retrospective Gene Expression Studies.Molecular ecology resources · 2025Review
- Deciphering the regulatory network of lignocellulose biosynthesis in bread wheat through genome-wide association studies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize.BMC plant biology · 2025Article
- Computational tools for plant genomics and breeding.Science China. Life sciences · 2024Review
- Genome-wide association study and expression of candidate genes for Fe and Zn concentration in sorghum grains.Scientific reports · 2024Article
- Dissection of the Genetic Basis of Genotype by Environment Interactions for Morphological Traits and Protein Content in Winter Wheat Panel Grown in Morocco and Spain.Plants (Basel, Switzerland) · 2024Article
- New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study.BMC plant biology · 2024Article
- Genomic prediction for agronomic traits in a diverse Flax (Linum usitatissimum L.) germplasm collection.Scientific reports · 2024Article
12 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
Abstract
backgroundThe inheritance of most human diseases and agriculturally important traits is controlled by many genes with small effects. Identifying these genes, while simultaneously controlling false positives, is challenging. Among available statistical methods, the mixed linear model (MLM) has been the most flexible and powerful for controlling population structure and individual unequal relatedness (kinship), the two common causes of spurious associations. The introduction of the compressed MLM (CMLM) method provided additional opportunities for optimization by adding two new model parameters: grouping algorithms and number of groups.
resultsThis study introduces another model parameter to develop an enriched CMLM (ECMLM). The parameter involves algorithms to define kinship between groups (that is, kinship algorithms). The ECMLM calculates kinship using several different algorithms and then chooses the best combination between kinship algorithms and grouping algorithms.
conclusionSimulations show that the ECMLM increases statistical power. In some cases, the magnitude of power gained by using ECMLM instead of CMLM is larger than the improvement found by using CMLM instead of MLM.
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