Abstract. Type 2 diabetes (T2D) is a polygenetic disease marked by impaired insulin secretion in pancreatic islet cells. Although genome-wide association studies (GWAS) have identified many T2D-associated genetic variants/genes, understanding the molecular mechanism and cellular consequence of GWAS identified hits remains challenging. In addition, little is known about the interaction network of GWAS identified T2D genes/variants. Recent advances in human pluripotent stem cells (hPSCs) and CRISPR-based technologies have enabled in vitro model systems for exploring the impact of T2D-associated genes and genetic network on islet dysfunction. In our recent study, we generated a panel of individual isogenic KO hESCs across 20 T2D effector genes. We systematically evaluated the impact of each KO on β cell differentiation efficiency, insulin production and secretion, and β cell survival. We performed allelic imbalance analysis and prioritized 18 T2D associated SNPs, two of which are located at RFX binding motifs. Furthermore, scRNA-seq analysis of human islets revealed the decreased expression of RFX3 and RFX6 in T2D islets. Finally, qRT-PCR analysis showed decrease expression of RFX3 and RFX6 in seven T2D-KO hESC-derived INS-GFP+ β-like cells. Here, we propose to use isogenic hPSC-derived islet organoids and human islets to systematically evaluate the molecular cascade involving T2D effector genes-RFX3/6-T2D variants in human islet cell generation, survival, and function under both healthy and T2D conditions. Three aims were proposed. In Aim 1, we will establish inducible KD hESC lines to assess the individual and synergistic effects of RFX3/6 on human islet cell generation, function, and survival. In Aim 2, we will decode the T2D effector genes-RFX3/6 signaling cascade in human islet cell damage in T2D conditions. In Aim 3, we will decipher the RFX3/6-T2D variants signaling cascade. This proposal aims to systematically evaluate the molecular cascade involving T2D effect genes-RFX3/6-T2D variants in human islet cell, generation, survival, and function. This study will establish a comprehensive pipeline for defining the biological function of T2D effector genes, prioritizing and validating the T2D variants, finally mapping the interactive network of T2D associated genes/variants in disease relevant tissues. This will not only address several challenges encountered in current T2D GWAS studies, but also shedding light on new insights into T2D disease progression.