statgenMPP: an R package implementing an IBD-based mixed model approach for QTL mapping in a wide range of multi-parent populations.

Autor:	Li W; Biometris, Wageningen University and Research Center, Wageningen, 6700 AC, The Netherlands., Boer MP; Biometris, Wageningen University and Research Center, Wageningen, 6700 AC, The Netherlands., van Rossum BJ; Biometris, Wageningen University and Research Center, Wageningen, 6700 AC, The Netherlands., Zheng C; Biometris, Wageningen University and Research Center, Wageningen, 6700 AC, The Netherlands., Joosen RVL; Rijk Zwaan Breeding B.V., De Lier 2678 ZG, The Netherlands., van Eeuwijk FA; Biometris, Wageningen University and Research Center, Wageningen, 6700 AC, The Netherlands.
Jazyk:	angličtina
Zdroj:	Bioinformatics (Oxford, England) [Bioinformatics] 2022 Nov 15; Vol. 38 (22), pp. 5134-5136.
DOI:	10.1093/bioinformatics/btac662
Abstrakt:	Motivation: Multi-parent populations (MPPs) are popular for QTL mapping because they combine wide genetic diversity in parents with easy control of population structure, but a limited number of software tools for QTL mapping are specifically developed for general MPP designs. Results: We developed an R package called statgenMPP, adopting a unified identity-by-descent (IBD)-based mixed model approach for QTL analysis in MPPs. The package offers easy-to-use functionalities of IBD calculations, mixed model solutions and visualizations for QTL mapping in a wide range of MPP designs, including diallele, nested-association mapping populations, multi-parent advanced genetic inter-cross populations and other complicated MPPs with known crossing schemes. Availability and Implementation: The R package statgenMPP is open-source and freely available on CRAN at https://CRAN.R-project.org/package=statgenMPP. Supplementary Information: Supplementary data are available at Bioinformatics online. (© The Author(s) 2022. Published by Oxford University Press.)
Databáze:	MEDLINE
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