Sieberts, Solveig K.García-García, Javier, 1982-Aguilar, DanielAnton, BernatBonet Martínez, Jaume, 1982-Fornés Crespo, Oriol, 1983-Marín López, Manuel Alejandro, 1987-Planas Iglesias, Joan, 1980-Poglayen, Daniel, 1984-Oliva Miguel, BaldomeroMangravite, Lara M.2016-12-222016-12-222016Sieberts SK, Zhu F, García-García J, Stahl E, Pratap A, Pandey G, et al. Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis. Nat Commun. 2016 Aug 23;7:12460. doi: 10.1038/ncomms124602041-1723http://hdl.handle.net/10230/27819Rheumatoid arthritis (RA) affects millions world-wide. While anti-TNF treatment is widelyused to reduce disease progression, treatment fails inBone-third of patients. No biomarkercurrently exists that identifies non-responders before treatment. A rigorous community-based assessment of the utility of SNP data for predicting anti-TNF treatment efficacy in RApatients was performed in the context of a DREAM Challenge (http://www.synapse.org/RA_Challenge). An open challenge framework enabled the comparative evaluation of predictionsdeveloped by 73 research groups using the most comprehensive available data and covering awide range of state-of-the-art modelling methodologies. Despite a significant geneticheritability estimate of treatment non-response trait (h2¼0.18,Pvalue¼0.02), nosignificant genetic contribution to prediction accuracy is observed. Results formally confirmthe expectations of the rheumatology community that SNP information does not significantlyimprove predictive performance relative to standard clinical traits, thereby justifying arefocusing of future efforts on collection of other dataapplication/pdfeng© 2016, The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/Artritis reumatoide -- TractamentCrowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1038/ncomms12460info:eu-repo/semantics/openAccess