Genetic predictors of GLP1 receptor agonist weight loss and side effects.
This large genome-wide association study (GWAS) investigated whether genetic variants explain why people respond differently to GLP-1 receptor agonists (GLP-1 RAs) such as semaglutide and tirzepatide. Researchers analyzed self-reported weight loss and side effects in 27,885 individuals on GLP-1 RA therapy. The study identified a missense variant in the GLP1R gene significantly associated with greater weight loss efficacy, with carriers of the effect allele losing an additional estimated 0.76 kg per copy. Separate genetic associations were found linking variants in both GLP1R and GIPR to nausea or vomiting during GLP-1 RA treatment; notably, the GIPR association appeared specific to tirzepatide users, consistent with tirzepatide's dual GLP-1/GIP receptor mechanism. The authors built a broader predictive model incorporating these findings, suggesting the potential to stratify patients by expected efficacy and side effect risk—a step toward precision medicine for obesity. Key limitations include reliance on self-reported outcomes, which may introduce recall and reporting bias, and the observational nature of the design, which limits causal inference beyond the genetic associations themselves.
Why this grade: Large human GWAS (n=27,885) provides meaningful genetic associations in humans, but relies on self-reported outcomes and is observational in design, precluding causal or clinical efficacy conclusions.
The development of glucagon-like peptide 1 (GLP1) receptor agonists, including semaglutide and tirzepatide, has transformed the clinical management of overweight and obesity. However, substantial inter-person variability exists in both weight loss efficacy and the incidence of side effects 1 . To investigate the genetic basis of this variability, here we conduct a genome-wide association study of self-reported weight loss and treatment-related side effects in 27,885 people following GLP1 receptor agonist therapy. We identify a missense variant in GLP1R that is associated significantly with increased efficacy of GLP1 medications (P = 2.9 × 10 -10 ), with an additional -0.76 kg of weight loss expected per copy of the effect allele. Furthermore, we identify associations linking variation in both GLP1R and GIPR to GLP1 medication-related nausea or vomiting, with the GIPR association being restricted to people using tirzepatide. We incorporate these findings into a broader model of GLP1 medication response, and demonstrate the ability to stratify patients by efficacy and side effect risk. These findings provide direct genetic evidence that variation in the drug target genes contributes to inter-person variability in response and lay the foundation for precision medicine approaches in the treatment of obesity.
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