My research centers on the use of genetic and other multi-omic data (publicly available and generated within the lab) to better understand the genomic mechanisms of disease risk in several related autoimmune conditions: Sjögren’s disease (SjD), systemic lupus erythematosus (SLE or lupus), neuromyelitis optica (NMO), and multiple sclerosis (MS). Most of these diseases have had several large genome-wide association studies (GWAS) including 10K-100K genotyped cases and surpassing >100 associated genetic regions. In contrast, the understanding of SjD genetic risk lags far behind due, in part, to the lack of an equally large GWAS. In 2022, we published the largest GWAS of SjD of European ancestry, which included 3700 genotyped cases and increased the total number of genome-wide significant (GWS) SjD risk loci from 12 to 22 (Khatri, et al. Nat Commun. 2022); seven of the previously established loci were identified in our 2013 publication (Lessard, et al. Nat Genet. 2013). This work was made possible through the Sjögren’s Genetics Network (SGENE), a collaborative network of >25 global institutions that I lead. Our efforts to expand the SGENE and increase the ancestral diversity of our genotyped population are ongoing with the goal to perform a GWAS with 10K SjD cases, thus bridging the gap between the genetic understanding of SjD and other related autoimmune diseases.