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Loci for insulin processing and secretion provide insight into type 2 diabetes risk
K Alaine Broadaway1, Xianyong Yin2, Alice Williamson3
1Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
Genetic analysis of proinsulin, a marker of beta-cell stress, identified 36 new signals at 30 loci. These findings offer insights into glucose homeostasis and potential mechanisms underlying insulin resistance and type 2 diabetes.
Area of Science:
- Genetics
- Metabolic Diseases
- Endocrinology
Background:
- Insulin secretion is vital for glucose homeostasis.
- Elevated proinsulin levels relative to insulin suggest pancreatic beta-cell stress and impaired insulin secretion, particularly in insulin resistance.
- Understanding the genetic underpinnings of proinsulin regulation is crucial for elucidating mechanisms of metabolic disease.
Purpose of the Study:
- To conduct a large-scale meta-analysis of genome-wide association studies (GWAS) for fasting proinsulin levels.
- To identify novel genetic loci associated with proinsulin and explore their functional implications in glucose metabolism and beta-cell function.
- To investigate the relationship between proinsulin-associated genetic variants and other glycemic traits, including type 2 diabetes (T2D).
Main Methods:
- Meta-analysis of GWAS data from 16 European-ancestry studies, including 45,861 individuals.
- Statistical analysis to identify independent genetic signals associated with fasting proinsulin (p < 5 × 10-8).
- Colocalization analysis with expression quantitative trait loci (eQTL) data from islets and adipose tissue, and T2D GWAS data.
Main Results:
- Identified 36 independent genetic signals at 30 loci associated with fasting proinsulin.
- Validated 12 previously reported proinsulin loci and identified 10 additional loci linked to other glycemic traits.
- Found that approximately half of the identified alleles associated with higher proinsulin also showed increased effects on glucose levels, suggesting diverse underlying mechanisms.
- Proinsulin loci implicated genes involved in prohormone convertases, beta-cell dysfunction, vesicle trafficking, transcriptional regulation, and lysosome/autophagy pathways.
- Colocalization analysis identified candidate genes (e.g., ARSG, WIPI1, SLC7A14, SIX3) and revealed a potential link between the NKX6-3/ANK1 locus, T2D, and adipose tissue gene expression.
- Genetic signals were enriched for islet enhancers, with a plausible regulatory mechanism identified for the MADD locus.
Conclusions:
- This study significantly expands the number of known genetic loci associated with fasting proinsulin.
- The findings highlight the complex genetic architecture influencing proinsulin levels and provide insights into beta-cell function and dysfunction.
- Genetic insights into proinsulin, an intermediate phenotype, can elucidate mechanisms predisposing individuals to insulin resistance and type 2 diabetes.
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