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

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.