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The Phase 1 proof-of-concept study analyzed whole genome and limited clinical data from 4,600 GLP-1 RA patients and demonstrated that we can: Identify strong and weak responders based on genetic signatures Quantitatively predict efficacy using BMI and HbA1c change Detect over 2,500 genetic signatures mapping to 1,100 genes Identify 15 major biological mechanisms driving response This is the first time detailed mechanistic efficacy signals have been shown directly within a GLP-1-treated real-world population at this level of resolution

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