Figure 1From: Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association dataROC curves of different genetic models using the discovery dataset (N = 8,844). Stepwise selection from the 700-gene list yielded gene sets with different numbers of genes used in the predictive model: 255 genes (P = 0.01), 350 genes (P = 0.05), and 391 genes (P = 0.10).Back to article page