
News & Publications
2026
​
Corbetta A, Logan KM, Ferro M, Perola M, Ganna A, Di Angelantonio E, Ieva F. (2026) Longitudinal patterns and determinants of statin adherence in over one million individuals from Finland and Italy. medRxiv. https://doi.org/10.64898/2026.01.26.26344722
​
​
2025
​
Moen H, Raj V, Vabalas A, Perola M, Kaski S, Ganna A, et al. (2025) Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model. Annals of epidemiology, 111:30–43. https://doi.org/10.1016/j.annepidem.2025.08.025.
​
Lemke JR, Eoli A, Krey I, Popp B, Strehlow V, Wittekind DA, et al. (2025) GRIN2A null variants confer a high risk for early-onset schizophrenia and other mental disorders and potentially enable precision therapy. Molecular psychiatry. https://doi.org/10.1038/s41380-025-03279-4.
​
Wang F, Liu A, Yang Z, Vartiainen P, Jukarainen S, Koskela S, et al. (2025) Effects of parental autoimmune diseases on type 1 diabetes in offspring can be partially explained by HLA and non-HLA polymorphisms. Cell genomics, 100854. https://doi.org/10.1016/j.xgen.2025.100854.
​
Eghtedarian R, Tervi AM, Jones SE, FinnGen, Partinen M, Viippola E, et al. (2025) Narcolepsy as a potential risk factor for schizophrenia. Translational psychiatry, 15(1):55. https://doi.org/10.1038/s41398-025-03259-w.
​​​​
​
2024
​​​
Cordioli M, Corbetta A, Kariis HM, Jukarainen S, Vartiainen P, Kiiskinen T, et al. (2024) Socio-demographic and genetic risk factors for drug adherence and persistence across 5 common medication classes. Nat Commun 15, 9156. https://doi.org/10.1038/s41467-024-53556-z.
​
Vabalas A, Hartonen T, Vartiainen P, Jukarainen S, Viippola E, Rodosthenous RS, et al. (2024) Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging marker. Nat Aging. doi: 10.1038/s43587-024-00657-5.
​
Liu A, Akimova ET, Ding X, Jukarainen S, Vartiainen P, Kiiskinen T, et al. (2024) Evidence from Finland and Sweden on the relationship between early-life diseases and lifetime childlessness in men and women. Nat Hum Behav 8, 276–287. doi: 10.1038/s41562-023-01763-x.
​
​​​​
2023
​
Vartiainen P, Jukarainen S, Rhedin SA, Prinz A, Hartonen T, Vabalas A, et al. (2023) Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model. The Lancet Digital Health, 5 (11): e821–e830: doi: 10.1016/S2589-7500(23)00175-9.
​
Wharrie S, Yang Z, Ganna A, & Kaski S. (2023) Characterizing personalized effects of family information on disease risk using graph representation learning. In K. Deshpande, M. Fiterau, S. Joshi, Z. Lipton, R. Ranganath, I. Urteaga, & S. Yeung (Eds.), Proceedings of the 8th Machine Learning for Healthcare Conference (pp. 824-845). (Proceedings of Machine Learning Research; Vol. 219). JMLR. https://proceedings.mlr.press/v219/wharrie23a.html.
​
Mars N, Kerola A, Eklund K, Laivuori H, Ripatti S, Palomäki A, et al. (2023) Op0263 Inflammatory Rheumatic Diseases Have Broad Impact on Reproductive Health – a Nationwide Evaluation and Systematic Comparison Across Rheumatic Diseases. Annals of the Rheumatic Diseases, 82 (Suppl 1): 174–174: doi: 10.1136/annrheumdis-2023-eular.3148.
​
Viippola E, Kuitunen S, Rodosthenous RS, Vabalas A, Hartonen T, Vartiainen P, et al. (2023) Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry). International Journal of Epidemiology. 52 (4): e195–e200. doi: https://doi.org/10.1093/ije/dyad091.
Hartonen T, Jermy B, Sõnajalg H, Vartiainen P, Krebs K, Vabalas A, et al. (2023) Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland. Nature Human Behaviour. 7, 1069–1083. doi: https://doi.org/10.1038/s41562-023-01591-z.
​