**5. Conclusion**

Currently, individuals at high risk of developing T1D are identified with multiple autoantibodies and HLA genotyping. These existing biomarkers do not fully meet the need for T1D prediction and prevention due to many issues with sensitivity and specificity, as well as the relatively late appearance of autoantibodies. Successful prevention of T1D requires the identification of high-risk populations early in the disease course before the appearance of islet autoantibodies and clinical disease onset. Due to

*Type 1 Diabetes: Current Advances in High-Throughput Technologies and Computational… DOI: http://dx.doi.org/10.5772/intechopen.108248*


*ROF: Repeated Optimization for Feature Interpretation, number of features presented after post-optimization of the computational method, SELDI-TOF: Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry, GWAS: genome-wide association study, HPLC-MS: high performance liquid chromatography-Mass spectrometry, GC-TOF: gas chromatography time-of-flight mass spectrometry.*
