GIPR and GLP-1R agonism as potential behavioral catalysts: a drug-target Mendelian randomization study

Abstract Background The potential of glucagon-like peptide-1 receptor (GLP-1R) and glucose-dependent insulinotropic polypeptide receptor (GIPR) agonists to modulate health behaviors remains underexplored. Methods Using a two-sample drug-target Mendelian randomization (MR) design, we instrumented GLP-1R and GIPR activation via cis-genetic variants associated with HbA1c and BMI, both obtained from two independent GWAS datasets. We systematically assessed effects of GLP-1R and GIPR agonism on 19 outcomes across 5 behavioral domains (dietary preferences, substance use and addictive behaviors, physical activity and sedentary traits, sleep characteristics, and affective mood states). Steiger tests and bidirectional MR were employed to validate the direction of causality. Meta-analysis was used to quantify the findings from cis-MR analyses in the primary and replication cohorts, whereas eQTL-based MR analysis was performed for further validation. Finally, colocalization analyses were applied to evaluate evidence for shared causal variants. Results In cis-MR analysis, GIPR activation through BMI reduced fatty food liking (ORprimary = 0.253 [0.149–0.430]; ORreplication = 0.553 [0.453–0.674]; ORmeta = 0.502 [0.417–0.605]) and increased vegetables liking (ORprimary = 1.696 [1.337–2.150]; ORreplication = 1.273 [1.150–1.409]; ORmeta = 1.331 [1.212–1.461]), fruit liking (ORprimary = 2.305 [1.578–3.365]; ORreplication = 1.553 [1.363–1.770]; ORmeta = 1.620 [1.431–1.833]), and whole grain cereal liking (ORprimary = 2.686 [1.401–5.147]; ORreplication = 1.591 [1.275–1.987]; ORmeta = 1.680 [1.362–2.073]). All of these associations passed the Steiger directionality test. eQTL-based validation supported the robustness of these findings; strong colocalization associations between BMI and fatty food liking, vegetables liking, fruit liking, and whole grain cereal liking in the GIPR locus were observed. Beyond the GIPR–BMI dietary block, exploratory suggestive signals that were not supported by colocalization analysis were also observed in other behavioral domains, including, but not limited to, reducing depression through GIPR-HbA1c/GLP-1R–BMI and reducing smoking dependency through GLP-1R–HbA1c. Conclusions The GIPR–BMI–dietary preference axis emerged as the most robust finding, with convergent support across cis‑MR, eQTL-based MR validation, and colocalization, suggesting that the GIPR–BMI pathway may act as a behavioral catalyst specifically for healthier dietary choices.

Authors

Institutions

Publication Details

Journal
BMC Medicine
Published
2026-11-07
DOI
https://doi.org/10.1186/s12916-026-05389-4
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

GIPR and GLP-1R agonism as potential behavioral catalysts: a drug-target Mendelian randomization study

Xinyu Niu, Fang Cheng, Kang Yang, Fan Yang et al.
7 links
BMC Medicine
Genetic Associations and Epidemiology
article

GIPR and GLP-1R agonism as potential behavioral catalysts: a drug-target Mendelian randomization study

Xinyu Niu, Fang Cheng, Kang Yang, Fan Yang, Yaoling Wang, Wei Li
article en

Abstract

Abstract Background The potential of glucagon-like peptide-1 receptor (GLP-1R) and glucose-dependent insulinotropic polypeptide receptor (GIPR) agonists to modulate health behaviors remains underexplored. Methods Using a two-sample drug-target Mendelian randomization (MR) design, we instrumented GLP-1R and GIPR activation via cis-genetic variants associated with HbA1c and BMI, both obtained from two independent GWAS datasets. We systematically assessed effects of GLP-1R and GIPR agonism on 19 outcomes across 5 behavioral domains (dietary preferences, substance use and addictive behaviors, physical activity and sedentary traits, sleep characteristics, and affective mood states). Steiger tests and bidirectional MR were employed to validate the direction of causality. Meta-analysis was used to quantify the findings from cis-MR analyses in the primary and replication cohorts, whereas eQTL-based MR analysis was performed for further validation. Finally, colocalization analyses were applied to evaluate evidence for shared causal variants. Results In cis-MR analysis, GIPR activation through BMI reduced fatty food liking (ORprimary = 0.253 [0.149–0.430]; ORreplication = 0.553 [0.453–0.674]; ORmeta = 0.502 [0.417–0.605]) and increased vegetables liking (ORprimary = 1.696 [1.337–2.150]; ORreplication = 1.273 [1.150–1.409]; ORmeta = 1.331 [1.212–1.461]), fruit liking (ORprimary = 2.305 [1.578–3.365]; ORreplication = 1.553 [1.363–1.770]; ORmeta = 1.620 [1.431–1.833]), and whole grain cereal liking (ORprimary = 2.686 [1.401–5.147]; ORreplication = 1.591 [1.275–1.987]; ORmeta = 1.680 [1.362–2.073]). All of these associations passed the Steiger directionality test. eQTL-based validation supported the robustness of these findings; strong colocalization associations between BMI and fatty food liking, vegetables liking, fruit liking, and whole grain cereal liking in the GIPR locus were observed. Beyond the GIPR–BMI dietary block, exploratory suggestive signals that were not supported by colocalization analysis were also observed in other behavioral domains, including, but not limited to, reducing depression through GIPR-HbA1c/GLP-1R–BMI and reducing smoking dependency through GLP-1R–HbA1c. Conclusions The GIPR–BMI–dietary preference axis emerged as the most robust finding, with convergent support across cis‑MR, eQTL-based MR validation, and colocalization, suggesting that the GIPR–BMI pathway may act as a behavioral catalyst specifically for healthier dietary choices.

BMC Medicine
Sichuan University (CN), West China Hospital of Sichuan University (CN), Wuhan Union Hospital (CN), Huazhong University of Science and Technology (CN)
Good health and well-being
Openalex Percentile: Top 21%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon