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Genetically predicted glucose-dependent insulinotropic polypeptide (GIP) levels and cardiovascular disease risk are driven by distinct causal variants in the GIPR region

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posted on 08.09.2021, 21:51 by Nicholas Bowker, Robert Hansford, Stephen Burgess, Christopher N. Foley, Victoria P.W. Auyeung, A. Mesut Erzurumluoglu, Isobel D. Stewart, Eleanor Wheeler, Maik Pietzner, Fiona Gribble, Frank Reimann, Pallav Bhatnagar, Matthew P. Coghlan, Nicholas J. Wareham, Claudia Langenberg

There is considerable interest in GIPR agonism to enhance the insulinotropic and extra-pancreatic effects of GIP, thereby improving glycaemic and weight control in type 2 diabetes (T2D) and obesity. Recent genetic epidemiological evidence has implicated higher GIPR-mediated GIP levels in raising coronary artery disease (CAD) risk, a potential safety concern for GIPR agonism. We therefore aimed to quantitatively assess whether the association between higher GIPR-mediated fasting GIP levels and CAD risk is mediated via GIPR or is instead the result of linkage disequilibrium (LD) confounding between variants at the GIPR locus. Using Bayesian multi-trait colocalisation, we identified a GIPR missense variant rs1800437 (G allele; E354) as the putatively causal variant shared between fasting GIP levels, glycaemic traits and adiposity-related traits (posterior probability for colocalisation, PPcoloc>0.97; PP explained by the candidate variant; PPexplained=1) that was independent from a cluster of CAD and lipid traits driven by a known missense variant in APOE (rs7412; distance to E354 ~770Kb; R2 with E354 = 0.004; PPcoloc>0.99; PPexplained=1). Further, conditioning the association between E354 and CAD on the residual LD with rs7412, we observed slight attenuation in association, but it remained significant (OR per copy of E354 after adjustment 1.03; 95% CI, 1.02, 1.04; P=0.003). Instead, E354’s association with CAD was completely attenuated when conditioning on an additional established CAD signal, rs1964272, (R2 with E354=0.27), an intronic variant in SNRPD2 (OR for E354 after adjustment for rs1964272: 1.01; 95% CI, 0.99, 1.03; P=0.06). We demonstrate that associations with GIP, anthropometric and glycaemic traits are driven by distinct genetic signals from those driving CAD and lipid traits in the GIPR region, and higher E354-mediated fasting GIP levels are not associated with CAD risk. These findings provide evidence that the inclusion of GIPR agonism in dual GIPR/GLP-1R agonists could potentiate the protective effect of GLP-1 agonists on diabetes without undue CAD risk, an aspect which has yet to be assessed in clinical trials.


The EPIC-Norfolk study (https://doi.org/10.22025/2019.10.105.00004) has received funding from the Medical Research Council (MRC) (MR/N003284/1 and MC-UU_12015/1) and Cancer Research UK (C864/A14136). The genetics work in the EPIC-Norfolk study was funded by the MRC (MC_PC_13048). The Fenland Study (10.22025/2017.10.101.00001) is funded by the MRC (MC_UU_12015/1). We further acknowledge support for genomics and metabolomics from the MRC (MC_PC_13046). Fiona Gribble and Frank Reimann acknowledge funding by Wellcome (106262/Z/14/Z and 106263/Z/14/Z) and MRC (MRC_MC_UU_12012/3).