학술논문
Dynamic changes in immune gene co-expression networks predict development of type 1 diabetes.
Document Type
Article
Author
Brænne, Ingrid; Onengut-Gumuscu, Suna; Chen, Ruoxi; Manichaikul, Ani W.; Rich, Stephen S.; Chen, Wei-Min; Farber, Charles R.; the TEDDY Study Group; Colorado Clinical Center; Rewers, Marian; Barbour, Aaron; Bautista, Kimberly; Baxter, Judith; Felipe-Morales, Daniel; Driscoll, Kimberly; Frohnert, Brigitte I.; Stahl, Marisa; Gesualdo, Patricia; Hoffman, Michelle; Karban, Rachel
Source
Subject
*TYPE 1 diabetes
*GENE regulatory networks
*GENETIC variation
*MOLECULAR interactions
*DIAGNOSIS
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Language
ISSN
2045-2322
Abstract
Significant progress has been made in elucidating genetic risk factors influencing Type 1 diabetes (T1D); however, features other than genetic variants that initiate and/or accelerate islet autoimmunity that lead to the development of clinical T1D remain largely unknown. We hypothesized that genetic and environmental risk factors can both contribute to T1D through dynamic alterations of molecular interactions in physiologic networks. To test this hypothesis, we utilized longitudinal blood transcriptomic profiles in The Environmental Determinants of Diabetes in the Young (TEDDY) study to generate gene co-expression networks. In network modules that contain immune response genes associated with T1D, we observed highly dynamic differences in module connectivity in the 600 days (~ 2 years) preceding clinical diagnosis of T1D. Our results suggest that gene co-expression is highly plastic and that connectivity differences in T1D-associated immune system genes influence the timing and development of clinical disease. [ABSTRACT FROM AUTHOR]