Author

Paula Konowalska

Maj Institute of Pharmacology

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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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Jacek HajtoiD· 2 shared Małgorzata BorczykiD· 2 shared Michał KorostyńskiiD· 2 shared Bartosz Baszkiewicz· 1 shared Dżesika Hoinkis· 1 shared Ilse KrätschmeriD· 1 shared Marcin PiechotaiD· 1 shared Maria Pieczarka· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Jacek HajtoORCID

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2 papers

Recent·Most cited

preSCRIPT: Large-scale prescription search and annotation engine for pharmacogenomic studies

Maria Pieczarka, Paweł Pieńkowski, Paula Konowalska, Sylwia Grubarek, Jacek Hajto, Dżesika Hoinkis, Marcin Piechota, Małgorzata Borczyk, Michał Korostyński

preSCRIPT filters and annotates prescription data from UK Biobank to derive drug response phenotypes, replicating known PGx associations and identifying novel candidates.

Pharmacological Reports · Aug 24, 2026Peer-reviewedGenetic & Genomic Medicine

Separating the genetics of disease, treatment and treatment response using graphical modeling and large-scale electronic health records.

Małgorzata Borczyk, Nick Machnik, Jacek Hajto, Ilse Krätschmer, Paula Konowalska, Bartosz Baszkiewicz, Michał Korostyński, Matthew R. Robinson

The paper uses graphical modeling on electronic health records to separate genetic effects on disease, treatment, and treatment response in large-scale biobank data.

medRxiv · Apr 29, 2025 · PreprintGenetic & Genomic Medicine