Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis.

Rheumatoid 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...

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Bibliographic Details
Authors: Sieberts, Solveig K., García-García, Javier, 1982-, Aguilar, Daniel, Anton, Bernat, Bonet Martínez, Jaume, 1982-, Fornés Crespo, Oriol, 1983-, Marín López, Manuel Alejandro, 1987-, Planas Iglesias, Joan, 1980-, Poglayen, Daniel, 1984-, Oliva Miguel, Baldomero, Mangravite, Lara M.
Format: article
Status:Published version
Publication Date:2016
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/27819
Online Access:http://hdl.handle.net/10230/27819
http://dx.doi.org/10.1038/ncomms12460
Access Level:Open access
Keyword:Artritis reumatoide -- Tractament
Description
Summary:Rheumatoid 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 data

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