Author

Natasha H. Johansen

Aarhus UniversityORCID 0009-0009-0120-0710Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:statistical model· 3 Research Focus:variant effect prediction· 3 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Assay:protein sequence· 1

Frequent Co-Authors

Guillaume P. RamsteiniD· 3 shared Ahmed JahooriD· 1 shared Andrea Bellucci· 1 shared Andrew J. OlsoniD· 1 shared Áslaug HelgadóttiriD· 1 shared Baoxing SongiD· 1 shared Christer Persson· 1 shared Eleni Nikolaidou· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersGenetics

Guillaume P. RamsteinORCID

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3 papers

Recent·Most cited

GeneticsbioRxivPreprintMay 4, 2026

Temporal changes in allele frequency facilitate detection of adaptive variants in winter wheat (Triticum aestivum L.) breeding programs

Natasha H. Johansen, Pernille Merete Sarup, Pernille Hansen…·Guillaume P. Ramstein

This study uses temporal allele frequency changes to detect adaptive variants in winter wheat breeding programs, finding that selection signals identify non-neutral variants associated with grain yield and protein content.

DOI 10.64898/2026.04.30.721918

plant (other)whole-genome sequencing

𝕏 PostBluesky

GeneticsbioRxivPreprintApr 13, 2026

Evolutionary-scale protein language models uncover beneficial variants in a Sorghum bicolor diversity panel

Natasha H. Johansen, Janek Sven-Ole Sendowski, Eleni Nikolaidou…·Guillaume P. Ramstein

This study uses ESM2 to identify beneficial genetic variants in a Sorghum bicolor diversity panel by analyzing PRC scores and their association with agronomic traits.

DOI 10.64898/2026.04.10.717708

plant (other)protein sequence

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GeneticsTheoretical and Applied GeneticsPeer-reviewedOct 25, 2025

Genomic prediction of agronomic traits in perennial ryegrass (Lolium perenne L.) and genotype x environment interactions at the limit of the species distribution

Natasha H. Johansen, Andrea Bellucci, Pernille B. Hansen…·Guillaume P. Ramstein

The paper evaluates genomic prediction models for agronomic traits in perennial ryegrass under genotype x environment interactions, showing improved accuracy when accounting for these interactions.

6 citations

statistical modelvariant effect prediction

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