Author

Ignacio Aguilar

Instituto Nacional de Investigación AgropecuariaORCID 0000-0002-1038-4752Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andrés LegarraiD· 1 shared Daniel Gianola BiD· 1 shared Daniela A. L. LourencoiD· 1 shared F. F. CardosoiD· 1 shared I. MisztaliD· 1 shared Olga RavagnoloiD· 1 shared Yutaka MasudaiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperGenomics

Andrés LegarraORCID

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2 papers

Recent·Most cited

Learning genetic values of individuals with incomplete pedigree, genomic and phenotypic data

Daniel Gianola B, Ignacio Aguilar, Olga Ravagnolo

The paper introduces Hy-BLUP, a Bayesian prediction method for handling incomplete pedigree, genomic, and phenotypic data in genome-enabled prediction.

bioRxiv · Sep 11, 2025 · PreprintGenetics

Exact p-values for large-scale single step genome-wide association, with an application for birth weight in American Angus

Ignácio Aguilar, Andrés Legarra, F. F. Cardoso, Yutaka Masuda, Daniela A. L. Lourenco, I. Misztal

The paper implements exact p-values for GWAS within the SSGBLUP framework, demonstrating its efficiency and application to a large beef cattle dataset.

bioRxiv · Feb 19, 2019 · PreprintGenomics