Prediction of treatment response in rheumatoid arthritis patients using genome-wide SNP data.

ABSTRACT: Although a number of treatments are available for rheumatoid arthritis (RA), each of them shows a significant nonresponse rate in patients. Therefore, predicting a priori the likelihood of treatment response would be of great patient benefit. Here, we conducted a comparison of a variety of statistical methods for predicting three measures of treatment response, between baseline and 3 or 6 months, using genome-wide SNP data from RA patients available from the MAximising Therapeutic Utility in Rheumatoid Arthritis (MATURA) consortium. Two different treatments and 11 different statistical methods were evaluated. We used 10-fold cross validation to assess predictive performance, with nested 10-fold cross validation used to tune the model hyperparameters when required. Overall, we found that SN

SUBMITTER: Cherlin S 

PROVIDER: S-EPMC6334178 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature