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vqtl: An R Package for Mean-Variance QTL Mapping

We present vqtl, an R package for mean-variance QTL mapping. This QTL mapping approach tests for genetic loci that influence the mean of the phenotype, termed mean QTL, the variance of the phenotype, termed variance QTL, or some combination of the two, termed mean-variance QTL. It is unique in its a...

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Detalles Bibliográficos
Autores principales: Corty, Robert W., Valdar, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288833/
https://www.ncbi.nlm.nih.gov/pubmed/30389795
http://dx.doi.org/10.1534/g3.118.200642
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author Corty, Robert W.
Valdar, William
author_facet Corty, Robert W.
Valdar, William
author_sort Corty, Robert W.
collection PubMed
description We present vqtl, an R package for mean-variance QTL mapping. This QTL mapping approach tests for genetic loci that influence the mean of the phenotype, termed mean QTL, the variance of the phenotype, termed variance QTL, or some combination of the two, termed mean-variance QTL. It is unique in its ability to correct for variance heterogeneity arising not only from the QTL itself but also from nuisance factors, such as sex, batch, or housing. This package provides functions to conduct genome scans, run permutations to assess the statistical significance, and make informative plots to communicate results. Because it is inter-operable with the popular qtl package and uses many of the same data structures and input patterns, it will be straightforward for geneticists to analyze future experiments with vqtl as well as re-analyze past experiments, possibly discovering new QTL.
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spelling pubmed-62888332018-12-19 vqtl: An R Package for Mean-Variance QTL Mapping Corty, Robert W. Valdar, William G3 (Bethesda) Software and Data Resources We present vqtl, an R package for mean-variance QTL mapping. This QTL mapping approach tests for genetic loci that influence the mean of the phenotype, termed mean QTL, the variance of the phenotype, termed variance QTL, or some combination of the two, termed mean-variance QTL. It is unique in its ability to correct for variance heterogeneity arising not only from the QTL itself but also from nuisance factors, such as sex, batch, or housing. This package provides functions to conduct genome scans, run permutations to assess the statistical significance, and make informative plots to communicate results. Because it is inter-operable with the popular qtl package and uses many of the same data structures and input patterns, it will be straightforward for geneticists to analyze future experiments with vqtl as well as re-analyze past experiments, possibly discovering new QTL. Genetics Society of America 2018-11-09 /pmc/articles/PMC6288833/ /pubmed/30389795 http://dx.doi.org/10.1534/g3.118.200642 Text en Copyright © 2018 Corty, Valdar http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software and Data Resources
Corty, Robert W.
Valdar, William
vqtl: An R Package for Mean-Variance QTL Mapping
title vqtl: An R Package for Mean-Variance QTL Mapping
title_full vqtl: An R Package for Mean-Variance QTL Mapping
title_fullStr vqtl: An R Package for Mean-Variance QTL Mapping
title_full_unstemmed vqtl: An R Package for Mean-Variance QTL Mapping
title_short vqtl: An R Package for Mean-Variance QTL Mapping
title_sort vqtl: an r package for mean-variance qtl mapping
topic Software and Data Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288833/
https://www.ncbi.nlm.nih.gov/pubmed/30389795
http://dx.doi.org/10.1534/g3.118.200642
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