ArticleGenetics2007
Mapping quantitative trait loci from a single-tail sample of the phenotype distribution including survival data.
Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Fast genomic predictions via Bayesian G-BLUP and multilocus models of threshold traits including censored Gaussian data.G3 (Bethesda, Md.) · 2013Article
- A decision rule for quantitative trait locus detection under the extended Bayesian LASSO model.Genetics · 2012Article
- Swift block-updating EM and pseudo-EM procedures for Bayesian shrinkage analysis of quantitative trait loci.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Article
- Impact of selective genotyping in the training population on accuracy and bias of genomic selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Article
- Evaluation of a bayesian model integration-based method for censored data.Human heredity · 2012Article
- Review
- Statistical optimization of parametric accelerated failure time model for mapping survival trait loci.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
- Bayesian multilocus association mapping on ordinal and censored traits and its application to the analysis of genetic variation among Oryza sativa L. germplasms.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2009Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A new effective Bayesian quantitative trait locus (QTL) mapping approach for the analysis of single-tail selected samples of the phenotype distribution is presented. The approach extends the affected-only tests to single-tail sampling with quantitative traits such as the log-normal survival time or censored/selected traits. A great benefit of the approach is that it enables the utilization of multiple-QTL models, is easy to incorporate into different data designs (experimental and outbred populations), and can potentially be extended to epistatic models. In inbred lines, the method exploits the fact that the parental mating type and the linkage phases (haplotypes) are known by definition. In outbred populations, two-generation data are needed, for example, selected offspring and one of the parents (the sires) in breeding material. The idea is to statistically (computationally) generate a fully complementary, maximally dissimilar, observation for each offspring in the sample. Bayesian data augmentation is then used to sample the space of possible trait values for the pseudoobservations. The benefits of the approach are illustrated using simulated data sets and a real data set on the survival of F(2) mice following infection with Listeria monocytogenes.
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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.