Autoimmune Diseases in the Bioinformatics Paradigm

Autoimmune diseases （AIDs） consist of a group of physiolog- ical disorders with highly diversified pathogenesis and clinical manifestations [1], which affect more than 5% of the popula- tion worldwide [2]. So far, the etiology of the AIDs is still poorly understood, whereas it is generally believed that autoimmune disorder results from a complex interaction of genetic and epigenetic variations, as well as triggering environ- mental factors [3]. Because of the varied phenotypes in differ- ent individuals of one AID and sometimes shared manifestations among patients with different AIDs, precise diagnoses, prognosis, and effective treatment are hard to achieve. In the last decade, with the explosion of multi-omics technologies, such as genomics, transcriptomics, epi~enetics,