AGHmatrix: genetic relationship matrices in R

Author:

Amadeu Rodrigo R1,Garcia Antonio Augusto F2ORCID,Munoz Patricio R3ORCID,Ferrão Luís Felipe V3ORCID

Affiliation:

1. Bayer U.S.—Crop Science , Chesterfield, MO, United States

2. Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo , Piracicaba, SP, Brazil

3. Blueberry, Breeding and Genomics Lab, Horticultural Sciences Department, University of Florida , Gainesville, FL 32611, United States

Abstract

Abstract Motivation The resemble between relatives computed from pedigree and genomic data is an important resource for geneticists and ecologists, who are interested in understanding how genes influence phenotypic variation, fitness adaptation, and population dynamics. Results The AGHmatrix software is an R package focused on the construction of pedigree (A matrix) and/or molecular markers (G matrix), with the possibility of building a combined matrix of pedigree corrected by molecular markers (H matrix). Designed to estimate the relationships for any ploidy level, the software also includes auxiliary functions related to filtering molecular markers, and checks pedigree errors in large data sets. After computing the relationship matrices, results from the AGHmatrix can be used in different contexts, including on prediction of (genomic) estimated breeding values and genome-wide association studies. Availability and implementation AGHmatrix v2.1.0 is available under GPL-3 license in CRAN at https://cran.r-project.org/web/packages/AGHmatrix/index.html and also in GitHub at https://github.com/rramadeu/AGHmatrix. It has a comprehensive tutorial, and it follows with real data examples.

Funder

UF royalty

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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