ArticleGenetics, selection, evolution : GSE2009
Linear models for joint association and linkage QTL mapping.
Article in Genetics, selection, evolution : GSE, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- A genome scan for milk production traits in dairy goats reveals two new mutations in Dgat1 reducing milk fat content.Scientific reports · 2017Article
- Detection of QTL for traits related to adaptation to sub-optimal climatic conditions in chickens.Genetics, selection, evolution : GSE · 2017Article
- Persistency of Prediction Accuracy and Genetic Gain in Synthetic Populations Under Recurrent Genomic Selection.G3 (Bethesda, Md.) · 2017Article
- Detection and replication of QTL underlying resistance to gastrointestinal nematodes in adult sheep using the ovine 50K SNP array.Genetics, selection, evolution : GSE · 2016Article
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- Identification of QTLs for behavioral reactivity to social separation and humans in sheep using the OvineSNP50 BeadChip.BMC genomics · 2014Article
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- Genetic prediction of complex traits: integrating infinitesimal and marked genetic effects.Genetica · 2013Article
- Fine-mapping quantitative trait loci with a medium density marker panel: efficiency of population structures and comparison of linkage disequilibrium linkage analysis models.Genetics research · 2012Article
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- Social and genetic interactions drive fitness variation in a free-living dolphin population.Proceedings of the National Academy of Sciences of the United States of America · 2010Article
- A gene frequency model for QTL mapping using Bayesian inference.Genetics, selection, evolution : GSE · 2010Article
- Combined detection and introgression of QTL in outbred populations.Genetics, selection, evolution : GSE · 2010Article
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2 authors.
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Abstract
backgroundPopulational linkage disequilibrium and within-family linkage are commonly used for QTL mapping and marker assisted selection. The combination of both results in more robust and accurate locations of the QTL, but models proposed so far have been either single marker, complex in practice or well fit to a particular family structure.
resultsWe herein present linear model theory to come up with additive effects of the QTL alleles in any member of a general pedigree, conditional to observed markers and pedigree, accounting for possible linkage disequilibrium among QTLs and markers. The model is based on association analysis in the founders; further, the additive effect of the QTLs transmitted to the descendants is a weighted (by the probabilities of transmission) average of the substitution effects of founders' haplotypes. The model allows for non-complete linkage disequilibrium QTL-markers in the founders. Two submodels are presented: a simple and easy to implement Haley-Knott type regression for half-sib families, and a general mixed (variance component) model for general pedigrees. The model can use information from all markers. The performance of the regression method is compared by simulation with a more complex IBD method by Meuwissen and Goddard. Numerical examples are provided.
conclusionThe linear model theory provides a useful framework for QTL mapping with dense marker maps. Results show similar accuracies but a bias of the IBD method towards the center of the region. Computations for the linear regression model are extremely simple, in contrast with IBD methods. Extensions of the model to genomic selection and multi-QTL mapping are straightforward.
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