Author

Julian S. Wanner

University of HelsinkiORCID 0000-0002-1487-7909Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1

Frequent Co-Authors

Fanny‐Dhelia PajusteiD· 2 shared FinnGeniD· 2 shared Henrike HeyneiD· 2 shared Reedik MägiiD· 2 shared Aarno V. PalotieiD· 1 shared Alessandra RenieriiD· 1 shared Alexander GuseviD· 1 shared Andrea EoliiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Fanny‐Dhelia PajusteORCID

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Author profile →

3 papers

Recent·Most cited

Limited overlap between genetic effects on disease susceptibility and disease survival

Zhiyu Yang, Fanny‐Dhelia Pajuste, Kristina Zguro, Yipeng Cheng, Danielle E. Kurant, Andrea Eoli, Julian S. Wanner, Bradley S. Jermy, Joel T Rämö, FinnGen, Stavroula Kanoni, David A. van Heel, Caroline Hayward, Riccardo Emilio Marioni, Daniel L. McCartney, , Andrea Ganna

The paper compares genetic effects on disease susceptibility and progression, finding limited overlap and suggesting larger samples or different progression measures are needed.

Nature Genetics · Sep 30, 2025Peer-reviewedGenetic & Genomic Medicine

Polygenic risk scores as a marker for epilepsy risk across lifetime and after unspecified seizure events

Henrike Heyne, Fanny‐Dhelia Pajuste, Julian S. Wanner, Jennifer I. Daniel Onwuchekwa, Reedik Mägi, Aarno V. Palotie, FinnGen, Reetta K. Kälviäinen, Mark J. Daly

This study shows that epilepsy polygenic risk scores (PRSs) can predict epilepsy risk across lifetimes and after seizure events in a large Finnish cohort.

Nature Communications · Jul 25, 2024Peer-reviewedGenetic & Genomic Medicine

nf-root: a best-practice pipeline for deep learning-based analysis of apoplastic pH in microscopy images of developmental zones in plantroot tissue

Julian S. Wanner, Luis Kuhn Cuellar, Luiselotte Rausch, Kenneth Wayne Berendzen, Friederike Wanke, Gisela Gabernet, Klaus Harter, Sven Nahnsen

nf-root automates apoplastic pH analysis in plant root images using deep learning, achieving near-human performance and reducing analysis time.

Quantitative Plant Biology · Jan 1, 2024Peer-reviewedBioinformatics