Improved characterisation of the risk factors for rheumatoid arthritis raises the possibility that they could be combined to identify individuals at high risk of disease in whom preventive strategies can be evaluated. Our aim was to develop a prediction model capable of identifying such individuals with sufficient accuracy to enable the assessment of preventive treatments.

Prediction model for rheumatoid arthritis: modelling 46 genetic risk variants with smoking

Forabosco Paola;
2013

Abstract

Improved characterisation of the risk factors for rheumatoid arthritis raises the possibility that they could be combined to identify individuals at high risk of disease in whom preventive strategies can be evaluated. Our aim was to develop a prediction model capable of identifying such individuals with sufficient accuracy to enable the assessment of preventive treatments.
2013
Istituto di Ricerca Genetica e Biomedica - IRGB
rheumatoid arthritis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/250893
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