Author

Roel F. Veerkamp

Wageningen University & ResearchORCID 0000-0002-5240-6534Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Organism:multiple species· 1 Organism:plant (other)· 1

Frequent Co-Authors

A.C. BouwmaniD· 2 shared Ben J. HayesiD· 1 shared Biaty RaymondiD· 1 shared C. SchrooteniD· 1 shared Carole CharlieriD· 1 shared Erik MullaartiD· 1 shared Gabriel Costa Monteiro MoreiraiD· 1 shared Haruko TakedaiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersGenomics

A.C. BouwmanORCID

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3 papers

Recent·Most cited

A 12 kb multi-allelic copy number variation encompassing a GC gene enhancer is associated with mastitis resistance in dairy cattle

Young-Lim Lee, Haruko Takeda, Gabriel Costa Monteiro Moreira, Latifa Karim, Erik Mullaart, Wouter R. Coppieters, Ruth Appeltant, Roel F. Veerkamp, Martien A. M. Groenen, Michel Georges, Mirte Bosse, Tom Druet, A.C. Bouwman, Carole Charlier

The paper identifies a 12 kb multi-allelic CNV associated with mastitis resistance in dairy cattle by linking it to increased GC expression and a cis-regulatory enhancer.

PLoS Genetics · Jul 21, 2021Peer-reviewedGenomics

Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP - using real data from pigs

Ibrahim Jibrila, Jérémie Vandenplas, Jan ten Napel, Rob Bergsma, Roel F. Veerkamp, M.P.L. Calus

This study evaluates the impact of genomic preselection on accuracy and bias in ssGBLUP genetic evaluations using real pig data, finding minimal effects on accuracy and negligible bias.

bioRxiv · Jun 18, 2021 · PreprintGenetics

Using prior information from humans to prioritize genes and gene-associated variants for complex traits in livestock

Biaty Raymond, Loïc Yengo, Roy Costilla, C. Schrooten, A.C. Bouwman, Ben J. Hayes, Roel F. Veerkamp, Peter M. Visscher

This study uses human height GWAS data to prioritize genes and variants for cattle stature, finding some overlap but no added benefit over within-species data.

PLoS Genetics · Sep 14, 2020Peer-reviewedGenetics