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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
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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. |
format | Online Article Text |
id | pubmed-6288833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
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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