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Could Your Genes Decide Whether Ozempic-Type Drugs Work for You?

In A Nutshell

  • A gene called PAM helps process GLP-1, the hormone that Ozempic-style drugs mimic to control blood sugar.
  • Two variants in this gene are linked to a nearly 44% smaller blood-sugar-lowering response to GLP-1 drugs in people with type 2 diabetes.
  • The variants raise circulating GLP-1 levels, but the body becomes less responsive to it, a mismatch researchers call GLP-1 resistance.
  • Only 11.5% of variant carriers hit the recommended blood sugar target on these drugs, compared with 25.3% of non-carriers.

Drugs like semaglutide, sold as Ozempic and Wegovy, have become some of the most talked-about medications on the planet, prescribed to millions for type 2 diabetes and weight loss alike. A large international study now suggests that for a subset of people carrying specific gene variants, GLP-1 drugs may lose nearly half their power to control blood sugar. The study looked at blood sugar control specifically, not weight loss, raising a pointed question: could a genetic test help doctors pick the right diabetes treatment from the start?

Published in Genome Medicine, the research focuses on a gene called PAM, which provides the blueprint for the only enzyme responsible for a finishing step in producing dozens of hormones, including GLP-1, the gut hormone GLP-1 drugs are designed to imitate. Two variants in this gene, already known to raise diabetes risk, appear to gum up that enzyme’s machinery. Consequences ripple outward: altered hormone levels, disrupted gut signaling, and a weaker response to GLP-1-based medications.

One statistic stands out. Among carriers of one PAM variant, only about 11.5% achieved the recommended blood sugar target after starting a GLP-1-based drug, compared with 25.3% of non-carriers, a gap representing real people with poorly controlled diabetes despite taking medications their doctors expected to work.

A Faulty Enzyme Leaves More GLP-1 in the Blood, But Less Effect

To understand what these gene variants do inside the body, researchers combined work with human volunteers, mouse models, lab-grown cells, and clinical databases across several countries.

Researchers recruited carriers of the two PAM risk variants, p.S539W and p.D563G, along with matched non-carriers from the Oxford Biobank in the United Kingdom. Blood samples measured how well the PAM enzyme was functioning. Carriers of p.S539W showed a 52% reduction in enzyme activity, while p.D563G carriers had a 20% reduction. The enzyme still worked, just not nearly as well.

Then came a paradox. Despite reduced enzyme capacity, carriers of both variants had higher circulating GLP-1 after meals, confirmed in Danish population studies. More GLP-1 sounds beneficial, since the hormone helps manage blood sugar after eating. But in p.S539W carriers, the body was almost 20% less responsive to its own GLP-1. More hormone circulating, doing less work, a mismatch researchers describe as GLP-1 resistance.

Mice engineered to lack the PAM enzyme entirely in adulthood mirrored this pattern: elevated GLP-1, blunted response to it. One telling experiment involved gastric emptying, the rate at which food leaves the stomach, which GLP-1 normally slows, one of the main ways GLP-1 drugs curb blood sugar spikes after meals. The engineered mice showed faster than normal gastric emptying, and a compound that activates the same receptor as GLP-1 drugs failed to slow their stomachs down. The mouse model used complete removal of the enzyme rather than the partial reduction seen in human carriers, which may exaggerate these effects.

glp resistance infographic
New study links a gene variant to a weaker blood-sugar response to GLP-1 diabetes drugs like Ozempic. (Image by StudyFinds)

The Gene Variant Cut Real-World GLP-1 Drug Response Nearly in Half

This laboratory work raised the question that matters most to patients: does it translate to real-world differences in how well diabetes drugs work?

Researchers pooled data from 1,119 participants across three clinical groups, all with type 2 diabetes and treated with GLP-1-based drugs. They compared how much each person’s long-term blood sugar marker, HbA1c, dropped after starting therapy, then checked whether the PAM variants made a difference. They did, substantially. Carriers of p.S539W saw their blood sugar marker drop by an average of 0.69 percentage points, versus 1.24 points for non-carriers, a statistically significant difference. In practical terms, that’s a 44% smaller blood-sugar-lowering response to GLP-1 therapy.

Researchers also checked three other diabetes medications: sulphonylureas, metformin, and DPP-4 inhibitors. No difference turned up, since impaired response was specific to GLP-1-based therapies, which makes sense given that PAM directly processes GLP-1 itself.

A Genetic Test Could Flag Poor GLP-1 Responders Early

For patients, the upshot is straightforward. A drug that’s supposed to bind to GLP-1 receptors and lower blood sugar runs into receptors that have effectively stopped listening, so a chunk of its power gets lost before it can do its job.

Right now, when someone is diagnosed with type 2 diabetes, doctors choose among medications based on guidelines, cost, side effects, and clinical judgment. If a drug doesn’t work well enough, patient and doctor find out months later when a blood test shows little improvement. A genetic test could, in theory, help identify patients with a reduced average response to GLP-1 drugs and inform therapy choice from the outset.

Study authors describe PAM genotype as a “novel pharmacogenomic determinant of GLP-1RA response” and call for incorporating it into precision medicine for diabetes care. With GLP-1 drugs prescribed to millions, knowing who is less likely to respond well could save time, money, and health.

Important caveats remain. This is a real average difference between two groups of people, not proof that a genetic test could tell any one patient exactly how they’ll respond. Clinical groups here weren’t originally designed to test this genetic hypothesis, and the PAM variants are uncommon enough that findings had to be pooled across studies to hold up. Much of the human research involved participants of European ancestry, so the findings need testing in more diverse populations, and larger, purpose-built trials before genetic testing becomes part of routine practice.


Disclaimer: This article is based on peer-reviewed research and is intended for general informational purposes. It is not medical advice. Anyone taking or considering a GLP-1 medication should talk with their doctor before making any changes to their treatment.


Paper Notes

Limitations

The clinical cohorts used to measure drug response were not originally designed to test this genetic hypothesis, and because the PAM variants are uncommon, researchers had to pool data across multiple studies to reach statistical significance. The mouse model used complete removal of the enzyme, a more extreme condition than the partial reduction seen in human carriers, which may exaggerate the biological effects observed. Much of the human biochemical work drew on participants of European ancestry from the Oxford Biobank and Danish cohorts, so it remains unclear whether the findings extend to other populations. Two replication trials, GSK-Harmony and EXSCEL, used different study designs and did not show the same significant effect, a discrepancy the authors attribute partly to methodology. No significant effect on weight loss was detected, though available data for that analysis were limited.

Funding and Disclosures

The study was funded by numerous sources including the Wellcome Trust, Medical Research Council, European Union Horizon 2020 Programme, National Institutes of Health, National Institute for Health Research Oxford Biomedical Research Centre, Novo Nordisk Foundation, and Diabetes Australia, among others. The EXSCEL trial was conducted jointly by the Duke Clinical Research Institute and the University of Oxford Diabetes Trials Unit in collaboration with Amylin Pharmaceuticals, a subsidiary of AstraZeneca. Several authors reported competing interests, including honoraria from pharmaceutical companies such as Boehringer Ingelheim, Lilly, AstraZeneca, and Novartis; stock options in Roche; and co-founding or holding shares in biotech companies. One author is currently employed by Novo Nordisk. The publication used data from GSK’s HARMONY trials, though GSK did not contribute to or approve the study’s contents.

Publication Details

Title: Type 2 diabetes risk alleles in peptidyl-glycine alpha-amidating monooxygenase influence GLP-1 levels and response to GLP-1 receptor agonists | Authors: Mahesh M. Umapathysivam, Elisa Araldi, Benoit Hastoy, Adem Y. Dawed, Hasan Vatandaslar, Johanna E. Mayrhofer, Peter Lindquist, Pamuditha N. Silva, Algera Goga, Geraldine O. Trüllinger, Svenja Godbersen, Shahana Sengupta, Adrian Kaufmann, Søren Krogsgaard Thomsen, Bolette Hartmann, Yi-Chun Chen, Anna E. Jonsson, Hasan Kabakci, Swaraj Thaman, Niels Grarup, Christian T. Have, Lindsay P. Pallo, Kristine Faerch, Anette P. Gjesing, Sameena Nawaz, Jane Cheeseman, Matthew J. Neville, Oluf Pedersen, Mark Walker, Han Sun, Christopher Jennison, Andrew T. Hattersley, Jens F. Rehfeld, Rury R. Holman, Bruce C. Verchere, Torben Hansen, Fredrik Karpe, Jens J. Holst, Mette M. Rosenkilde, Angus G. Jones, Michael Ristow, Mark I. McCarthy, Ewan R. Pearson, Markus Stoffel, and Anna L. Gloyn | Journal: Genome Medicine | Published: 29 March 2026 | DOI: 10.1186/s13073-026-01630-0 | Corresponding Author: Anna L. Gloyn, Stanford School of Medicine | Trial Registrations: NCT02723110, NCT02465515, NCT01144338 | Mahesh M. Umapathysivam and Elisa Araldi contributed equally as co-first authors. Markus Stoffel and Anna L. Gloyn jointly supervised the study.

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