Articles dans des revues avec comité de lecture (48)
47.
Costagliola, S., Panneels, V., Bonomi, M., Koch, J., Many, M.-C., Smits, G., & Vassart, G. (2002). Tyrosine sulfation is required for agonist recognition by glycoprotein hormone receptors. EMBO journal, 21(4), 504-513. doi:10.1093/emboj/21.4.504 Rapports de recherche, comptes rendus, lettres à l'éditeur, working papers (2)
1.
D'Alva, C. B., Serafini, P., Motta, E., Latronico, A. C., Mendonca, B. B., Daelemans, C., Smits, G., De Maertelaer, V., Costagliola, S., Englert, Y., Vassart, G., & Delbaere, A. (2005). Letter re: FSH receptor polymorphisms and iatrogenic ovarian hyperstimulation [1] (multiple letters). The Journal of clinical endocrinology and metabolism, 90(8), 4978-4979. doi:10.1210/jc.2005-06502.
Daelemans, C., Smits, G., De Maertelaer, V., Costagliola, S., Englert, Y., Vassart, G., & Delbaere, A. (2005). Author’s response: Severity of iatrogenic ovarian hyperstimulation syndrome (OHSS) can be predicted by N680allele of FSH receptor. The Journal of clinical endocrinology and metabolism, 90, 4978-4979. Participations à des congrès et colloques internationaux (30)
1.
Gravel, B., Papadimitriou, S., Nachtegael, C., De Baere, E., Loeys, B., Vikkula, M., Smits, G., & Lenaerts, T. (2023). The importance of good data quality and proper pathogenicity reporting in the medical genetics field: the case of oligogenic diseases. Abstract session presented at Genomics of Rare Disease(17: 24-26/04/2023: Wellcome Genome Campus, UK)2.
Nachtegael, C., Papadimitriou, S., Gravel, B., De Baere, E., Loeys, B., Vikkula, M., Smits, G., & Lenaerts, T. (2023). The importance of good data quality and proper pathogenicity reporting in the medical genetics field: the case of oligogenic diseases. Abstract session presented at Annual Biocuration Conference(16: 24-26/04/2023: Padua, Italie)3.
Papadimitriou, S., Gravel, B., Nachtegael, C., De Baere, E., Loeys, B., Vikkula, M., Smits, G., & Lenaerts, T. (2022). The importance of good data quality and proper pathogenicity reporting in the medical genetics field: the case of oligogenic diseases. Rare Med Symposium Abstract session presented at Rare Med Symposium(8-12-2022: Gent)4.
Nachtegael, C., Gravel, B., Dillen, A., Smits, G., Nowe, A., Papadimitriou, S., & Lenaerts, T. (2022). Scaling up the oligogenic diseases research with OLIDA: the Oligogenic Diseases Database. Poster présenté à la conférence Genomics of Rare Disease 2022.5.
Dillen, A., Nachtegael, C., Renaux, A., Papadimitriou, S., Versbraegen, N., Petit, R., Smits, G., & Lenaerts, T. (2020). OLIDA: a FAIR, Community-driven Oligogenic Diseases Database. Abstract session presented at All hands ELIXIR conference(6: 8-10/6/2020: virtual)6.
Renaux, A., Papadimitriou, S., Versbraegen, N., Nachtegael, C., Boutry, S., Nowé, A., Smits, G., & Lenaerts, T. (2019). Towards oligogenic disease prediction with ORVAL: a web-platform to uncover pathogenic variant combinations. Abstract session presented at the 27th conference on Intelligent Systems for Molecular Biology (ISMB) and the 18th European Conference on Computational Biology(21-25/7/2019: Basel, Switzerland)7.
Renaux, A., Papadimitriou, S., Versbraegen, N., Nachtegael, C., Boutry, S., Nowé, A., Smits, G., & Lenaerts, T. (2019). Towards oligogenic disease prediction with ORVAL: a web-platform to uncover pathogenic variant combinations. Abstract session presented at 15th Student Council Symposium at the ISMB/ECCB 2019.(15: 21-25/7/2019: Basel, Switzerland)8.
Papadimitriou, S., Gazzo, A., Versbraegen, N., Nachtegael, C., Aerts, J., Moreau, Y., Van Dooren, S., Nowe, A., Smits, G., & Lenaerts, T. (2018). Predicting disease-causing variant combinations for oligogenic diseases. Abstract session presented at VIB Applied Bioinformatics in Life Sciences Conference.(2: 8-9/3/2018: Leuven, Belgium)