Author

Szymon Szyszkowski

Open TargetsORCID 0009-0005-6095-2139Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Laura Wiseman HarrisiD· 2 shared Yakov A. TsepiloviD· 2 shared Abdurrahman Shiyanbola· 1 shared Adam S. ButterworthiD· 1 shared Alexander V. PredeusiD· 1 shared Anna O'Carroll· 1 shared Annalisa BunielloiD· 1 shared Aoife McMahoniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Laura Wiseman HarrisORCID

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2 papers

Recent·Most cited

Predicted Effector Gene Aggregation, Standards and Unified Schema (PEGASUS): A Community Framework for Effector Gene Reporting

Aoife McMahon, Yue Ji, Maria C. Costanzo, Adam S. Butterworth, Matthew C. Pahl, Szymon Szyszkowski, Karl Heilbron, Abdurrahman Shiyanbola, Yakov A. Tsepilov, Cassandra Nichole Spracklen, Jeremy A. Arbesfeld, Drew Hite, PEG Working Group, Elizabeth Lewis, Helen Parkinson, , Laura Wiseman Harris

PEGASUS defines a community reporting standard for GWAS predicted effector genes: a metadata record, a full locus-by-gene evidence matrix, and a derived author-prioritised gene list.

bioRxiv · Sep 30, 2026 · PreprintGenomics✦ In-depth digest

The Human Pleiotropic Map of GWAS Associations and Therapeutic Implications

Yakov A. Tsepilov, Dániel Süveges, Daniel Considine, Szymon Szyszkowski, Xiangyu Jack Ge, Irene López Santiago, Polina V. Rusina, Tobi Alegbe, Vivien W. Ho, Kirill Tsukanov, Juan María Roldán‐Romero, Ines A. Smit, Helena Cornu, Laura Wiseman Harris, Kaur Alasoo, , David Ochoa

This paper analyzes 100,526 GWAS to identify pleiotropic genes and their therapeutic implications, finding that highly pleiotropic genes are associated with safety liabilities and that combining PAV support with intermediate pleiotropy improves therapeutic success.

bioRxiv · May 1, 2026 · PreprintGenomics