Publications

A full list of all my publications in chronological order, including pre-prints and peer-reviewed articles.

Pre-prints

Longitudinal patterns and determinants of statin adherence in over one million individuals from Finland and Italy
Andrea Corbetta, Katherine M. Logan, Matteo Ferro, Markus Perola, Andrea Ganna, Emanuele Di Angelantionio, Francesca Ieva
medrxiv, doi: https://doi.org/10.64898/2026.01.26.26344722

Peer-reviewed publications

2026

Clinical and genetic characterization of non-optimal triptan response among migraine patients
Ettore Brenna, Matteo Ferro, Marja-Liisa Sumelahti, Tatiana Cajuso, Andrea Ganna, Jari Rossi, Emmi Tikkanen
Cephalalgia. 2026;46(1); https://doi.org/10.1038/s41746-026-02363-5

Large language models improve transferability of electronic health record-based predictions across countries and coding systems
Matthias Kirchler, Matteo Ferro, Veronica Lorenzini, Robin P. van de Water, FinnGen, Christoph Lippert, Andrea Ganna
npj Digit. Med. (2026); https://doi.org/10.1038/s41746-026-02363-5

2025

2024

Socio-demographic and genetic risk factors for drug adherence and persistence across 5 common medication classes
Mattia Cordioli, Andrea Corbetta, Hanna Maria Kariis, Sakari Jukarainen, Pekka Vartiainen, Tuomo Kiiskinen, Matteo Ferro, FinnGen, Estonian Biobank Research Team, Markus Perola, Mikko Niemi, Samuli Ripatti, Kelli Lehto, Lili Milani & Andrea Ganna
Nat Commun 15, 9156 (2024). https://doi.org/10.1038/s41467-024-53556-z

2023

Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry).
Viippola E, Kuitunen S, Rodosthenous RS, Vabalas A, Hartonen T, Vartiainen P, Demmler J, Vuorinen AL, Liu A, Havulinna AS, Llorens V, Detrois KE, Wang F, Ferro M, Karvanen A, German J, Jukarainen S, Gracia-Tabuenca J, Hiekkalinna T, Koskelainen S, Kiiskinen T, Lahtela E, Lemmelä S, Paajanen T, Siirtola H, Reeve MP, Kristiansson K, Brunfeldt M, Aavikko M, Gen F, Perola M, Ganna A; FinnGen.
Int J Epidemiol. 2023 Aug 2;52(4):e195-e200. doi: https://10.1093/ije/dyad091. PMID: 37365732; PMCID: PMC10396416.