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News & Publications

2025

 

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

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2024

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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.

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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.

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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.

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2023

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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.

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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.

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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.

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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.

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This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 945733), starting grant AI-Prevent.

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