Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes.

These calculations indicated that the multi-omics predictive feature was highly significant (0.77) with especially high predictive capacity (0.88) at 12 months before seroconversion (Fig. 2 d and Additional file 13 : Fig. 7).

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