Splicing-based biomarkers define a robust multigene classifier for relapsing-remitting multiple sclerosis.

While the LDA approach did not yield any significant improvement in discriminatory power compared to the original MS-SS (AUC = 0.72, DeLong's test p = 0.49), the application of PCA to the combined dataset resulted in a first principal component (PC1) that demonstrated a highly significant elevation in MS cases compared to controls (p = 5.7∗10 −14 ).

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The difference reached statistical significance for NFAT5 (p = 0.031), while differences for IFNAR2 and PRKCA were marginally non-significant (p = 0.077 for both).

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