دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Loci for insulin processing and secretion provide insight into type 2 diabetes risk.
المؤلفون: Broadaway, K. Alaine1 (AUTHOR), Yin, Xianyong2,3 (AUTHOR), Williamson, Alice4,5 (AUTHOR), Parsons, Victoria A.1 (AUTHOR), Wilson, Emma P.1 (AUTHOR), Moxley, Anne H.1 (AUTHOR), Vadlamudi, Swarooparani1 (AUTHOR), Varshney, Arushi6 (AUTHOR), Jackson, Anne U.3 (AUTHOR), Ahuja, Vasudha7 (AUTHOR), Bornstein, Stefan R.8,9,10 (AUTHOR), Corbin, Laura J.11,12 (AUTHOR), Delgado, Graciela E.13 (AUTHOR), Dwivedi, Om P.14,15 (AUTHOR), Silva, Lilian Fernandes16 (AUTHOR), Frayling, Timothy M.17 (AUTHOR), Grallert, Harald10,18,19 (AUTHOR), Gustafsson, Stefan20 (AUTHOR), Hakaste, Liisa7 (AUTHOR), Hammar, Ulf21 (AUTHOR)
المصدر: American Journal of Human Genetics. Feb2023, Vol. 110 Issue 2, p284-299. 16p.
مصطلحات موضوعية: *TYPE 2 diabetes, *PROPROTEIN convertases, *INSULIN, *LOCUS (Genetics), *GENOME-wide association studies, *SECRETION, *ISLANDS of Langerhans, *HOMEOSTASIS, *LYSOSOMES
مستخلص: 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. Broadaway et al. describe a genome-wide association meta-analysis in which they identify 36 proinsulin signals. Identification and integration of the proinsulin signals with glycemic traits, expression data in trait-relevant tissues, and functional follow-up provide hypotheses about potential mechanistic pathways for T2D loci. [ABSTRACT FROM AUTHOR]
قاعدة البيانات: Academic Search Index
الوصف
تدمد:00029297
DOI:10.1016/j.ajhg.2023.01.002