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. 2023 Feb 2;110(2):284-299.
doi: 10.1016/j.ajhg.2023.01.002. Epub 2023 Jan 23.

Loci for insulin processing and secretion provide insight into type 2 diabetes risk

K Alaine Broadaway  1 Xianyong Yin  2 Alice Williamson  3 Victoria A Parsons  1 Emma P Wilson  1 Anne H Moxley  1 Swarooparani Vadlamudi  1 Arushi Varshney  4 Anne U Jackson  5 Vasudha Ahuja  6 Stefan R Bornstein  7 Laura J Corbin  8 Graciela E Delgado  9 Om P Dwivedi  10 Lilian Fernandes Silva  11 Timothy M Frayling  12 Harald Grallert  13 Stefan Gustafsson  14 Liisa Hakaste  6 Ulf Hammar  15 Christian Herder  16 Sandra Herrmann  17 Kurt Højlund  18 David A Hughes  8 Marcus E Kleber  19 Cecilia M Lindgren  20 Ching-Ti Liu  21 Jian'an Luan  22 Anni Malmberg  23 Angela P Moissl  24 Andrew P Morris  25 Nikolaos Perakakis  7 Annette Peters  26 John R Petrie  27 Michael Roden  28 Peter E H Schwarz  29 Sapna Sharma  30 Angela Silveira  31 Rona J Strawbridge  32 Tiinamaija Tuomi  33 Andrew R Wood  34 Peitao Wu  21 Björn Zethelius  35 Damiano Baldassarre  36 Johan G Eriksson  37 Tove Fall  15 Jose C Florez  38 Andreas Fritsche  39 Bruna Gigante  40 Anders Hamsten  40 Eero Kajantie  41 Markku Laakso  11 Jari Lahti  23 Deborah A Lawlor  8 Lars Lind  14 Winfried März  42 James B Meigs  43 Johan Sundström  14 Nicholas J Timpson  8 Robert Wagner  39 Mark Walker  44 Nicholas J Wareham  45 Hugh Watkins  46 Inês Barroso  47 Stephen O'Rahilly  48 Niels Grarup  49 Stephen Cj Parker  50 Michael Boehnke  2 Claudia Langenberg  51 Eleanor Wheeler  52 Karen L Mohlke  53
Affiliations

Loci for insulin processing and secretion provide insight into type 2 diabetes risk

K Alaine Broadaway et al. Am J Hum Genet. .

Abstract

Insulin secretion is critical for glucose homeostasis, and increased levels of the precursor proinsulin relative to insulin indicate pancreatic islet beta-cell stress and insufficient insulin secretory capacity in the setting of insulin resistance. We conducted meta-analyses of genome-wide association results for fasting proinsulin from 16 European-ancestry studies in 45,861 individuals. We found 36 independent signals at 30 loci (p value < 5 × 10-8), which validated 12 previously reported loci for proinsulin and ten additional loci previously identified for another glycemic trait. Half of the alleles associated with higher proinsulin showed higher rather than lower effects on glucose levels, corresponding to different mechanisms. Proinsulin loci included genes that affect prohormone convertases, beta-cell dysfunction, vesicle trafficking, beta-cell transcriptional regulation, and lysosomes/autophagy processes. We colocalized 11 proinsulin signals with islet expression quantitative trait locus (eQTL) data, suggesting candidate genes, including ARSG, WIPI1, SLC7A14, and SIX3. The NKX6-3/ANK1 proinsulin signal colocalized with a T2D signal and an adipose ANK1 eQTL signal but not the islet NKX6-3 eQTL. Signals were enriched for islet enhancers, and we showed a plausible islet regulatory mechanism for the lead signal in the MADD locus. These results show how detailed genetic studies of an intermediate phenotype can elucidate mechanisms that may predispose one to disease.

Keywords: GWAS; colocalization; conditional; eQTL; enhancer; fine-mapping; meta-analysis; proinsulin; signal; type 2 diabetes.

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Conflict of interest statement

Declaration of interests J.B.M. is an academic associate for Quest Diagnostics Endocrine R&D. M.E.K. is employed by SYNLAB Holding Deutschland GmbH. C.M.L. receives grants from Bayer Ag and Novo Nordisk and her husband works for Vertex. B.Z. is employed at the Swedish Medical Products Agency, SE-751 03 Uppsala, Sweden; the views expressed in this paper are the personal views of the authors and not necessarily the views of the Swedish government agency. B.Z. has not received any funding or benefits from any sponsor for the present work. J.C.F. receives consulting honoraria from Goldfinch Bio and AstraZeneca and speaker honoraria from Novo Nordisk, AstraZeneca, and Merck for research lectures over which he had full control on content. D.A.L. has received support from Medtronics Ltd and Roche Diagnostics for research unrelated to this paper. W.M. reports grants and personal fees from Siemens Diagnostics, grants and personal fees from Aegerion Pharmaceuticals, grants and personal fees from AMGEN, grants and personal fees from AstraZeneca, grants and personal fees from Danone Research, grants and personal fees from Sanofi, personal fees from Hoffmann LaRoche, personal fees from MSD, grants and personal fees from Pfizer, personal fees from Synageva, grants and personal fees from BASF, grants from Abbott Diagnostics, and grants and personal fees from Numares, outside the submitted work. W.M. is employed by Synlab Holding Deutschland GmbH. R.W. reports lecture fees from Novo Nordisk and Sanofi and served on an advisory board for Akcea Therapeutics, Daiichi Sankyo, Sanofi, and Novo Nordisk. E.W. is now an employee of AstraZeneca.

Figures

Figure 1
Figure 1
Direction of allelic effect of fasting glucose versus fasting proinsulin Standardized effect sizes for lead variants are shown from this study compared to fasting glucose from Chen et al. (2021). Left of the vertical line, alleles associated with higher fasting glucose and lower proinsulin; right of the vertical line, alleles associated with higher fasting glucose and higher proinsulin.
Figure 2
Figure 2
The ANK1/NKX6-3 locus associations with proinsulin, T2D, and adipose ANK1 expression The proinsulin signal at this locus colocalizes with the second AGEN T2D signal and the METSIM adipose ANK1 eQTL signal (HyPrColoc PPFC = 0.92). We used approximate conditional analysis results for the AGEN second signal in HyPrColoc as well as for the plot shown above. AGEN results colored by ASN 1000 Genomes LD reference.
Figure 3
Figure 3
Candidate variants may influence regulatory activity (A) Regulatory element enrichment analyses using enhancers, accessible chromatin, and other data from islets, skeletal muscle, and adipose. Proinsulin variants are enriched in islet active enhancers and accessible chromatin, especially in beta cells. (B) The MADD locus in proinsulin, lead variant rs10501320. The MADD region is an area of extensive LD—the full locus is shown in Figure S4. (C) The lead variant of the primary MADD signal is located in an intron of MADD and is in accessible chromatin in islets and an enhancer state and a region conserved across species. (D) A 411-bp genomic element spanning the lead variant rs10501320 showed strong enhancer activity in a transcriptional reporter assay in two beta cell lines: MIN6 and 832/13. EV, empty vector; G/C, alleles at the lead variant rs10501320. In the eQTL and GWAS data, the G allele at rs10501320 that showed higher transcriptional activity showed higher MADD expression levels in islets and is associated with higher proinsulin. Bars show standard errors; p values correspond to two-sided t tests.

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