ArticleGenetics2005
A model selection-based interval-mapping method for autopolyploids.
Article in Genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- A tetrasomic inheritance model and likelihood-based method for mapping quantitative trait loci in autotetraploid species.The New phytologist · 2021Article
- SNP genotyping allows an in-depth characterisation of the genome of sugarcane and other complex autopolyploids.Scientific reports · 2013Article
- Multilocus tetrasomic linkage analysis using hidden Markov chain model.Proceedings of the National Academy of Sciences of the United States of America · 2010Article
- Em algorithm for mapping quantitative trait Loci in multivalent tetraploids.International journal of plant genomics · 2010Article
- Article
- Analyses of a multi-parent population derived from two diverse alfalfa germplasms: testcross evaluations and phenotype-DNA associations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2007Article
- Constructing genetic linkage maps under a tetrasomic model.Genetics · 2006Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While extensive progress has been made in quantitative trait locus (QTL) mapping for diploid species, similar progress in QTL mapping for polyploids has been limited due to the complex genetic architecture of polyploids. To date, QTL mapping in polyploids has focused mainly on tetraploids with dominant and/or codominant markers. Here, we extend this view to include any even ploidy level under a dominant marker system. Our approach first selects the most likely chromosomal marker configurations using a Bayesian selection criterion and then fits an interval-mapping model to each candidate. Profiles of the likelihood-ratio test statistic and the maximum-likelihood estimates (MLEs) of parameters including QTL effects are obtained via the EM algorithm. Putative QTL are then detected using a resampling-based significance threshold, and the corresponding parental configuration is identified to be the underlying parental configuration from which the data are observed. Although presented via pseudo-doubled backcross experiments, this approach can be readily extended to other breeding systems. Our method is applied to single-dose restriction fragment autotetraploid alfalfa data, and the performance is investigated through simulation studies.
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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.