Moreover, predictive modeling incorporating peripheral biomarkers (including antibodies to MAA-modified albumin (IgA, IgG, IgM), collagen (IgA, IgG), fibrinogen (IgG), and vimentin (IgA, IgG)) significantly outperformed clinical risk factor alone in identifying RA-ILD (AUC 0.739 vs 0.630) (51). The gene discussed is CD40LG; the disease is rheumatoid arthritis.