ArticleBMC genetics2011
Generalized linear mixed model for segregation distortion analysis.
Article in BMC genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- QTL meta-analysis of root traits in Brassica napus under contrasting phosphorus supply in two growth systems.Scientific reports · 2016Pooled it
- A high-density linkage map and fine QTL mapping of architecture, phenology, and yield-related traits in faba bean (Frontiers in plant science · 2025Article
- A genetic linkage map and improved genome assembly of the termite symbiont Termitomyces cryptogamus.BMC genomics · 2023Article
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- Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms.Scientific reports · 2019Article
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- QTL mapping for haploid male fertility by a segregation distortion method and fine mapping of a key QTL qhmf4 in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Genetic load in marine animals: a review.Current zoology · 2016Article
- Mapping quantitative trait loci in selected breeding populations: A segregation distortion approach.Heredity · 2015Article
- Article
- Major QTLs control resistance to rice hoja blanca virus and its vector Tagosodes orizicolus.G3 (Bethesda, Md.) · 2014Article
- Construction of a SSR-based genetic map and identification of QTLs for catechins content in tea plant (Camellia sinensis).PloS one · 2014Article
- Improved estimation of inbreeding and kinship in pigs using optimized SNP panels.BMC genetics · 2013Article
- The maternal cytoplasmic environment may be involved in the viability selection of gametes and zygotes.Heredity · 2013Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSegregation distortion is a phenomenon that the observed genotypic frequencies of a locus fall outside the expected Mendelian segregation ratio. The main cause of segregation distortion is viability selection on linked marker loci. These viability selection loci can be mapped using genome-wide marker information.
resultsWe developed a generalized linear mixed model (GLMM) under the liability model to jointly map all viability selection loci of the genome. Using a hierarchical generalized linear mixed model, we can handle the number of loci several times larger than the sample size. We used a dataset from an F(2) mouse family derived from the cross of two inbred lines to test the model and detected a major segregation distortion locus contributing 75% of the variance of the underlying liability. Replicated simulation experiments confirm that the power of viability locus detection is high and the false positive rate is low.
conclusionsNot only can the method be used to detect segregation distortion loci, but also used for mapping quantitative trait loci of disease traits using case only data in humans and selected populations in plants and animals.
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