Population
868 rheumatoid arthritis cases and 1,194 controls from the North American Rheumatoid Arthritis Consortium…
Design
Case-control
Authors
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May inform RA genetic susceptibility assessment; leaves open whether random forest outperforms standard GWAS methods in independent cohorts.
Random forest is an effective computational approach for identifying significant SNPs and gene-gene interactions in genome-wide association studies of rheumatoid arthritis.
Wang et al. (2009) studied this question.
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