A Genome-Wide Association Study of IVGTT-Based Measures of First-Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants
Year: 2017
Type: article
Study design: Observational Study
Abstract: Understanding the physiological mechanisms by which common variants predispose to type 2 diabetes requires large studies with detailed measures of insulin secretion and sensitivity. Here we performed the largest genome-wide association study of first-phase insulin secretion, as measured by intravenous glucose tolerance tests, using up to 5,567 individuals without diabetes from 10 studies. We aimed to refine the mechanisms of 178 known associations between common variants and glycemic traits and identify new loci. Thirty type 2 diabetes or fasting glucose-raising alleles were associated with a measure of first-phase insulin secretion at P < 0.05 and provided new evidence, or the strongest evidence yet, that insulin secretion, intrinsic to the islet cells, is a key mechanism underlying the associations at the HNF1A, IGF2BP2, KCNQ1, HNF1B, VPS13C/C2CD4A, FAF1, PTPRD, AP3S2, KCNK16, MAEA, LPP, WFS1, and TMPRSS6 loci. The fasting glucose-raising allele near PDX1, a known key insulin transcription factor, was strongly associated with lower first-phase insulin secretion but has no evidence for an effect on type 2 diabetes risk. The diabetes risk allele at TCF7L2 was associated with a stronger effect on peak insulin response than on C-peptide-based insulin secretion rate, suggesting a possible additional role in hepatic insulin clearance or insulin processing. In summary, our study provides further insight into the mechanisms by which common genetic variation influences type 2 diabetes risk and glycemic traits.
DOI: 10.17615/hwy5-kk80
Authors: Andrew R. Wood, Anna Jonsson, Anne Jackson, Nan Wang, Nienke van Leewen, Nicholette D. Palmer, Sayuko Kobes, Joris Deelen, Lorena Boquete-Vilarino, Jussi Paananen, Alena Stančáková, Dorret I. Boomsma, Eco J. C. de Geus, Elisabeth M. W. Eekhoff, Andreas Fritsche, Mark H.H. Kramer, Giel Nijpels, Annemarie M. Simonis-Bik, Timon W. van Haeften, Anubha Mahajan, Michael Boehnke, Richard N. Bergman, Jaakko Tuomilehto, Francis S. Collins, Karen L. Mohlke, Karina Banasik, Christopher J. Groves, Mark I. McCarthy, Ewan R. Pearson, Andrea Natali, Andrea Mari, Thomas A. Buchanan, Kent D. Taylor, Anny H. Xiang, Anette P. Gjesing, Niels Grarup, Hans Eiberg, Oluf Pedersen, Yii-Derr Chen, Markku Laakso, Jill M. Norris, Ulf Smith, Lynne E. Wagenknecht, Leslie J. Baier, Donald W. Bowden, Torben Hansen, Mark Walker, Richard M. Watanabe, Leen M. ‘t Hart, Robert L. Hanson, Timothy M. Frayling
Institutions: Royal Devon and Exeter Hospital, University of Copenhagen, University of Michigan, University of Southern California, Leiden University Medical Center, Wake Forest University, National Institutes of Health, Max Planck Society, University of Eastern Finland, Vrije Universiteit Amsterdam, Amsterdam UMC Location Vrije Universiteit Amsterdam, University of Tübingen, Utrecht University, Centre for Human Genetics, Cedars-Sinai Medical Center, University of North Carolina at Chapel Hill, University of Oxford, National Institute for Health and Care Research, University of Dundee, University of Pisa, National Academies of Sciences, Engineering, and Medicine, University of California, Los Angeles, Kaiser Permanente, The Lundquist Institute, Colorado School of Public Health, University of Gothenburg, Newcastle University
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Awards: G1028663679, G126399678, DIabetes REsearCh on patient sTratification, G1462415530, G1660689499, G2861369480, G2973790809, G300706285, G3121967442, G3207356259, G3444887196, G3445233955, G3479217851, G357049385, G3725864416, G393177772, G4446757277, G4544423771, G5702163051, G5780424650, G5878643300, G6144234142, G6996399226, G70080636, G7197155317, Genetics of Mental Illness, G78824551, G822877548, G8776062500, G8852914737, G9000019820, G9000035070, G9000036580, G9000104961, G9000140433, G9000172592, G9000277595, G9000314896
OpenAlex ID: W3002340858