Author

Marijn Rymenants

KU Leuven

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 2 Genomics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:genome assembly· 4 Approach:statistical model· 4 Assay:metabolomics· 2 Organism:multiple species· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Andrea PatocchiiD· 4 shared François N. D. LaurensiD· 4 shared Hélène MurantyiD· 4 shared María José AranzanaiD· 4 shared Walter GuerraiD· 4 shared M. LewandowskiiD· 3 shared Bruno StuderiD· 2 shared Charles-Éric DureliD· 2 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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4 shared papersGenetics

Andrea PatocchiORCID

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4 papers

Recent·Most cited

WISER: spectral whitening of fixed effects for improved breeding value estimation in structured, unbalanced, and genotype-environment-confounded populations

Laval Julien Jacquin, Walter Guerra, M. Lewandowski, Andrea Patocchi, Marijn Rymenants, Charles-Éric Durel, François N. D. Laurens, María José Aranzana, Lidia Lozano, Tristan Mary‐Huard, Hélène Muranty

WISER improves breeding value estimation by addressing population structure and genotype-environment confounding through spectral whitening, outperforming LS-means and BLUP across multiple species and traits.

bioRxiv · Jul 17, 2025 · PreprintGenetics

WISER: an innovative and efficient method for correcting population structure in omics-based selection and association studies

Laval Julien Jacquin, Walter Guerra, M. Lewandowski, Andrea Patocchi, Marijn Rymenants, Charles-Éric Durel, François N. D. Laurens, María José Aranzana, Hélène Muranty

WISER improves phenotype estimation in omics studies by correcting population structure, outperforming LS and BLUP across multiple species and datasets.

bioRxiv · Feb 7, 2025 · PreprintGenetics

Integrative multi-environmental genomic prediction in apple

Michaela Jung, Carles Quesada‐Traver, Morgane Roth, María José Aranzana, Hélène Muranty, Marijn Rymenants, Walter Guerra, Elias M. Holzknecht, Nicole Pradas, Lidia Lozano, Frédérique Didelot, François N. D. Laurens, Steven Andrew Yates, Bruno Studer, Giovanni A. L. Broggini, Andrea Patocchi

This study applies statistical and deep learning models to multi-environmental genomic prediction in apple, showing improved predictive ability for certain traits.

Horticulture Research · Nov 20, 2024Peer-reviewedPlant Biology

Genetic architecture and genomic prediction accuracy of apple quantitative traits across environments

Michaela Jung, Beat Keller, Morgane Roth, María José Aranzana, Annemarie Auwerkerken, Walter Guerra, Mehdi Al-Rifaï, M. Lewandowski, Nadia Sanin, Marijn Rymenants, Frédérique Didelot, Christian Dujak, Carolina Font i Forcada, Andrea Knauf, François N. D. Laurens, , Andrea Patocchi

This study examines the genetic architecture and genomic prediction accuracy of 30 apple quantitative traits across six European locations, identifying novel associations and demonstrating the impact of genotype by environment interactions.

Horticulture Research · Jan 1, 2022Peer-reviewedGenomics