A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk

Jermy, B., Läll, K., Wolford, B. N., Wang, Y., Zguro, K., Cheng, Y., Kanai, M., Kanoni, S., Yang, Z., Hartonen, T., Monti, R., Wanner, J., Youssef, O., Lippert, C., van Heel, D., Okada, Y., McCartney, D. L., Hayward, C., Marioni, R. E., Furini, S., & 10 andraRenieri, A., Martin, A. R., Neale, B. M., Hveem, K., Mägi, R., Palotie, A., Heyne, H., Mars, N., Ganna, A. & Ripatti, S., 2024, I: Nature Communications. 15, 1, 14 s., 5007.

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Genetic drivers and cellular selection of female mosaic X chromosome loss

FinnGen, Estonian Biobank Research Team, Breast Cancer Association Consortium, Million Veteran Program, Liu, A., Genovese, G., Zhao, Y., Pirinen, M., Zekavat, S. M., Kentistou, K. A., Yang, Z., Yu, K., Vlasschaert, C., Liu, X., Brown, D. W., Hudjashov, G., Gorman, B. R., Dennis, J., Zhou, W., Momozawa, Y., & 25 andraPyarajan, S., Tuzov, V., Pajuste, F. D., Aavikko, M., Sipilä, T. P., Ghazal, A., Huang, W. Y., Freedman, N. D., Song, L., Gardner, E. J., Sankaran, V. G., Palotie, A., Ollila, H. M., Tukiainen, T., Chanock, S. J., Mägi, R., Natarajan, P., Daly, M. J., Bick, A., McCarroll, S. A., Terao, C., Loh, P. R., Ganna, A., Perry, J. R. B. & Machiela, M. J., 1 juli 2024, I: Nature. 631, 8019, s. 134-141 8 s.

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Characterizing personalized effects of family information on disease risk using graph representation learning

Wharrie, S., Yang, Z., Ganna, A. & Kaski, S., 2023, I: Proceedings of Machine Learning Research. 219, s. 824-845 22 s.

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HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes

Wharrie, S., Yang, Z., Raj, V., Monti, R., Gupta, R., Wang, Y., Martin, A., O'Connor, L. J., Kaski, S., Marttinen, P., Palamara, P. F., Lippert, C. & Ganna, A., 1 sep. 2023, I: Bioinformatics. 39, 9, 10 s., btad535.

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