Health
Apr 08, 2026
Genetic Variations May Influence Effectiveness of Weight-Loss Medications
Scientists have discovered that genetic variations in two genes involved in gut hormone pathways ma…
Researchers have made a significant breakthrough in understanding why weight-loss medications, such as GLP1 receptor agonists, work better for some individuals than others. A recent study published in Nature has identified genetic variations in two genes involved in gut hormone pathways that regulate appetite and digestion. These genetic variations may help account for different weight-loss results or side-effects when taking glucagon-like peptide 1 (GLP1) medicines, which mimic natural gut hormones to regulate appetite, insulin release, and digestion. The study analyzed data from 27,885 patients on GLP1 drugs and found that specific genetic variants were associated with slightly more weight loss or side-effects like nausea and vomiting. The findings suggest that genetic differences may contribute to why people respond differently to weight-loss jabs. However, the overall impact of genetics appeared to be modest, with non-genetic factors such as sex, drug type, dose, and duration appearing to explain a substantially larger proportion of variability. The study's results reinforce that while there is substantial variability in response to GLP1 therapies, genetics is only one part of a much more complex picture. According to Marie Spreckley, an obesity expert at the University of Cambridge, the study provides plausible evidence that genetic variants could affect outcomes. However, she notes that the magnitude of these genetic effects is small in clinical terms, and that behavioral, clinical, and treatment-related factors remain the dominant drivers of outcomes. The study's authors suggest that their findings could support future efforts to use genetic information when making treatment choices for obesity. However, Spreckley cautions that the evidence is not yet sufficient to support using genetic information to guide treatment decisions in routine clinical practice.
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