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Pathophysiology/Complications

TCF7L2 Genetic Variants Contribute to Phenotypic Heterogeneity of Type 1 Diabetes

  1. Maria J. Redondo1⇑,
  2. Susan Geyer2,
  3. Andrea K. Steck3,
  4. Jay Sosenko4,
  5. Mark Anderson5,
  6. Peter Antinozzi6,
  7. Aaron Michels3,
  8. John Wentworth7,
  9. Ping Xu2,
  10. Alberto Pugliese4, and
  11. the Type 1 Diabetes TrialNet Study Group*
  1. 1Baylor College of Medicine, Texas Children’s Hospital, Houston, TX
  2. 2University of South Florida, Tampa, FL
  3. 3Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO
  4. 4University of Miami, Miami, FL
  5. 5University of California, San Francisco, San Francisco, CA
  6. 6Wake Forest School of Medicine, Winston-Salem, NC
  7. 7Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
  1. Corresponding author: Maria J. Redondo, redondo{at}bcm.edu.
Diabetes Care 2018 Feb; 41(2): 311-317. https://doi.org/10.2337/dc17-0961
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Abstract

OBJECTIVE The phenotypic diversity of type 1 diabetes suggests heterogeneous etiopathogenesis. We investigated the relationship of type 2 diabetes–associated transcription factor 7 like 2 (TCF7L2) single nucleotide polymorphisms (SNPs) with immunologic and metabolic characteristics at type 1 diabetes diagnosis.

RESEARCH DESIGN AND METHODS We studied TrialNet participants with newly diagnosed autoimmune type 1 diabetes with available TCF7L2 rs4506565 and rs7901695 SNP data (n = 810; median age 13.6 years; range 3.3–58.6). We modeled the influence of carrying a TCF7L2 variant (i.e., having 1 or 2 minor alleles) on the number of islet autoantibodies and oral glucose tolerance test (OGTT)–stimulated C-peptide and glucose measures at diabetes diagnosis. All analyses were adjusted for known confounders.

RESULTS The rs4506565 variant was a significant independent factor of expressing a single autoantibody, instead of multiple autoantibodies, at diagnosis (odds ratio [OR] 1.66 [95% CI 1.07, 2.57], P = 0.024). Interaction analysis demonstrated that this association was only significant in participants ≥12 years old (n = 504; OR 2.12 [1.29, 3.47], P = 0.003) but not younger ones (n = 306, P = 0.73). The rs4506565 variant was independently associated with higher C-peptide area under the curve (AUC) (P = 0.008) and lower mean glucose AUC (P = 0.0127). The results were similar for the rs7901695 SNP.

CONCLUSIONS In this cohort of individuals with new-onset type 1 diabetes, type 2 diabetes–linked TCF7L2 variants were associated with single autoantibody (among those ≥12 years old), higher C-peptide AUC, and lower glucose AUC levels during an OGTT. Thus, carriers of the TCF7L2 variant had a milder immunologic and metabolic phenotype at type 1 diabetes diagnosis, which could be partly driven by type 2 diabetes–like pathogenic mechanisms.

Footnotes

  • This article contains Supplementary Data online at http://care.diabetesjournals.org/lookup/suppl/doi:10.2337/dc17-0961/-/DC1.

  • ↵* A list of the Type 1 Diabetes TrialNet Study Group members can be found in Supplementary Table 1 online.

  • See accompanying article, p. 224.

  • Received May 12, 2017.
  • Accepted August 17, 2017.
  • © 2017 by the American Diabetes Association.
http://www.diabetesjournals.org/content/license

Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at http://www.diabetesjournals.org/content/license.

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TCF7L2 Genetic Variants Contribute to Phenotypic Heterogeneity of Type 1 Diabetes
Maria J. Redondo, Susan Geyer, Andrea K. Steck, Jay Sosenko, Mark Anderson, Peter Antinozzi, Aaron Michels, John Wentworth, Ping Xu, Alberto Pugliese, the Type 1 Diabetes TrialNet Study Group
Diabetes Care Feb 2018, 41 (2) 311-317; DOI: 10.2337/dc17-0961

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TCF7L2 Genetic Variants Contribute to Phenotypic Heterogeneity of Type 1 Diabetes
Maria J. Redondo, Susan Geyer, Andrea K. Steck, Jay Sosenko, Mark Anderson, Peter Antinozzi, Aaron Michels, John Wentworth, Ping Xu, Alberto Pugliese, the Type 1 Diabetes TrialNet Study Group
Diabetes Care Feb 2018, 41 (2) 311-317; DOI: 10.2337/dc17-0961
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