Genetic architecture of incretin and glucagon regulation revealed by genome and exome-wide analysis in the Fenland cohort

Abstract The receptors for glucagon and incretin hormones: glucose-dependent insulinotropic peptide (GIP) and glucagon-like peptide-1 (GLP-1), are key therapeutic targets for Type 2 diabetes (T2D) and obesity treatments. To better understand the metabolic hormones biology, we performed genome-wide association study (GWAS), and exome-based rare-variant analysis for immunoassay-measured GIP, GLP-1 and glucagon at fasting (T0) and 120-minutes post-oral glucose load (T120) in the Fenland Study. We identified 16 GWAS associations including 5 at T0 including at PDE3B with glucagon T0 , and 10 at T120 including at SLC38A4 with glucagon T120 , highlighting the value of hormone measures post-glucose load. We demonstrated high expression of Slc38a4 in mouse α-cells, and SLC38A4 amino acid substrates triggered calcium influx and glucagon secretion. Secondary analysis of hormonal change (T120-T0) highlights ANO1 with GIP (T120−T0) . We also showed that cAMP-stimulated GIP secretion was abolished in ANO1 knockout duodenal organoids. Rare-variant analysis identified 6 associations, including GCGR. Links between PDE3B with glucagon and central adiposity emerged across both common and rare-variant analyses. These findings implicate biologically actionable pathways and provide a genetic foundation for mechanistic investigations and optimising metabolic disease therapeutics.

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Publication Details

Journal
Research Square
Published
2026-11-09
DOI
https://doi.org/10.21203/rs.3.rs-11352998/v1
Primary Topic
Genetic Associations and Epidemiology
Type
preprint
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preprint

Genetic architecture of incretin and glucagon regulation revealed by genome and exome-wide analysis in the Fenland cohort

Adam Davison, Fiona Mary Gribble, Pallav Bhatnagar, Matthew P. Coghlan et al.
Research Square
Genetic Associations and Epidemiology
preprint

Genetic architecture of incretin and glucagon regulation revealed by genome and exome-wide analysis in the Fenland cohort

Adam Davison, Fiona Mary Gribble, Pallav Bhatnagar, Matthew P. Coghlan, Jian’an Luan, Rula Bany Bakar, Katherine A. Kentistou, Vasileios Kaimakis, Rofaida Desoki, Felix R. Day, Thomas Hodkinson, Nicholas J. Wareham, Jaakko Tuomilehto, Nicola D. Kerrison, Isobel D. Stewart, Sofia Aleksashina, Mairi Antypa, Gareth Rogers, Ken Ong, Jack R A Murzynowski, Frank Reimann, John Perry
preprint en

Abstract

Abstract The receptors for glucagon and incretin hormones: glucose-dependent insulinotropic peptide (GIP) and glucagon-like peptide-1 (GLP-1), are key therapeutic targets for Type 2 diabetes (T2D) and obesity treatments. To better understand the metabolic hormones biology, we performed genome-wide association study (GWAS), and exome-based rare-variant analysis for immunoassay-measured GIP, GLP-1 and glucagon at fasting (T0) and 120-minutes post-oral glucose load (T120) in the Fenland Study. We identified 16 GWAS associations including 5 at T0 including at PDE3B with glucagon T0 , and 10 at T120 including at SLC38A4 with glucagon T120 , highlighting the value of hormone measures post-glucose load. We demonstrated high expression of Slc38a4 in mouse α-cells, and SLC38A4 amino acid substrates triggered calcium influx and glucagon secretion. Secondary analysis of hormonal change (T120-T0) highlights ANO1 with GIP (T120−T0) . We also showed that cAMP-stimulated GIP secretion was abolished in ANO1 knockout duodenal organoids. Rare-variant analysis identified 6 associations, including GCGR. Links between PDE3B with glucagon and central adiposity emerged across both common and rare-variant analyses. These findings implicate biologically actionable pathways and provide a genetic foundation for mechanistic investigations and optimising metabolic disease therapeutics.

Research Square
Queen Mary University of London (GB), Eli Lilly (United States) (US), University of Cambridge (GB), Wellcome/MRC Institute of Metabolic Science (GB), MRC Metabolic Diseases Unit (GB)
Genetic Associations and Epidemiology
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