4.4 Article

Genetic Drivers of Pancreatic Islet Function

期刊

GENETICS
卷 209, 期 1, 页码 335-356

出版社

GENETICS SOCIETY AMERICA
DOI: 10.1534/genetics.118.300864

关键词

mediation analysis; eQTL; module-QTL; T2D; beta-cell; genome-wide association (GWA)

资金

  1. National Institutes of Health (NIH) [DK-101573, DK-102948, GM-102756, U54 AI-117924, GM-076483]
  2. Clinical and Translational Science Award program, through the NIH National Center for Advancing Translational Sciences [UL1 TR-000427]

向作者/读者索取更多资源

The majority of gene loci that have been associated with type 2 diabetes play a role in pancreatic islet function. To evaluate the role of islet gene expression in the etiology of diabetes, we sensitized a genetically diverse mouse population with a Western diet high in fat (45% kcal) and sucrose (34%) and carried out genome-wide association mapping of diabetes-related phenotypes. We quantified mRNA abundance in the islets and identified 18,820 expression QTL. We applied mediation analysis to identify candidate causal driver genes at loci that affect the abundance of numerous transcripts. These include two genes previously associated with monogenic diabetes (PDX1 and HNF4A), as well as three genes with nominal association with diabetes-related traits in humans (FAM83E, IL6ST, and SAT2). We grouped transcripts into gene modules and mapped regulatory loci for modules enriched with transcripts specific for delta-cells, and another specific for delta-cells. However, no single module enriched for beta-cell-specific transcripts, suggesting heterogeneity of gene expression patterns within the beta-cell population. A module enriched in transcripts associated with branched-chain amino acid metabolism was the most strongly correlated with physiological traits that reflect insulin resistance. Although the mice in this study were not overtly diabetic, the analysis of pancreatic islet gene expression under dietary-induced stress enabled us to identify correlated variation in groups of genes that are functionally linked to diabetes-associated physiological traits. Our analysis suggests an expected degree of concordance between diabetes-associated loci in the mouse and those found in human populations, and demonstrates how the mouse can provide evidence to support nominal associations found in human genome-wide association mapping.

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