qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations

Modern quantitative trait locus (QTL) studies in multiparental populations offer opportunities to identify causal genes for thousands of clinical and molecular traits. Traditional analyses examine each trait by itself. However, to fully leverage this vast number of measured traits, the systems genet...

Descripción completa

Detalles Bibliográficos
Autores principales: Boehm, Frederick, Yandell, Brian, Broman, Karl W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380654/
https://www.ncbi.nlm.nih.gov/pubmed/32715273
http://dx.doi.org/10.21105/joss.01435
_version_ 1783562892018188288
author Boehm, Frederick
Yandell, Brian
Broman, Karl W.
author_facet Boehm, Frederick
Yandell, Brian
Broman, Karl W.
author_sort Boehm, Frederick
collection PubMed
description Modern quantitative trait locus (QTL) studies in multiparental populations offer opportunities to identify causal genes for thousands of clinical and molecular traits. Traditional analyses examine each trait by itself. However, to fully leverage this vast number of measured traits, the systems genetics community needs statistical tools to analyze multiple traits simultaneously (Jiang & Zeng, 1995; Korol, Ronin, & Kirzhner, 1995). A test of pleiotropy vs. separate QTL is one such tool that will aid dissection of complex trait genetics and enhance understanding of genetic architecture.
format Online
Article
Text
id pubmed-7380654
institution National Center for Biotechnology Information
language English
publishDate 2019
record_format MEDLINE/PubMed
spelling pubmed-73806542020-07-24 qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations Boehm, Frederick Yandell, Brian Broman, Karl W. J Open Source Softw Article Modern quantitative trait locus (QTL) studies in multiparental populations offer opportunities to identify causal genes for thousands of clinical and molecular traits. Traditional analyses examine each trait by itself. However, to fully leverage this vast number of measured traits, the systems genetics community needs statistical tools to analyze multiple traits simultaneously (Jiang & Zeng, 1995; Korol, Ronin, & Kirzhner, 1995). A test of pleiotropy vs. separate QTL is one such tool that will aid dissection of complex trait genetics and enhance understanding of genetic architecture. 2019-06-30 2019 /pmc/articles/PMC7380654/ /pubmed/32715273 http://dx.doi.org/10.21105/joss.01435 Text en License Authors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC-BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Boehm, Frederick
Yandell, Brian
Broman, Karl W.
qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations
title qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations
title_full qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations
title_fullStr qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations
title_full_unstemmed qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations
title_short qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations
title_sort qtl2pleio: testing pleiotropy vs. separate qtl in multiparental populations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380654/
https://www.ncbi.nlm.nih.gov/pubmed/32715273
http://dx.doi.org/10.21105/joss.01435
work_keys_str_mv AT boehmfrederick qtl2pleiotestingpleiotropyvsseparateqtlinmultiparentalpopulations
AT yandellbrian qtl2pleiotestingpleiotropyvsseparateqtlinmultiparentalpopulations
AT bromankarlw qtl2pleiotestingpleiotropyvsseparateqtlinmultiparentalpopulations

Ejemplares similares