Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jan;43(1):169-177.
doi: 10.2337/dc19-0803. Epub 2019 Sep 26.

Genetic Variants Predisposing Most Strongly to Type 1 Diabetes Diagnosed Under Age 7 Years Lie Near Candidate Genes That Function in the Immune System and in Pancreatic β-Cells

Affiliations

Genetic Variants Predisposing Most Strongly to Type 1 Diabetes Diagnosed Under Age 7 Years Lie Near Candidate Genes That Function in the Immune System and in Pancreatic β-Cells

Jamie R J Inshaw et al. Diabetes Care. 2020 Jan.

Abstract

Objective: Immunohistological analyses of pancreata from patients with type 1 diabetes suggest distinct autoimmune islet β-cell pathology between those diagnosed at <7 years (<7 group) and those diagnosed at age ≥13 years (≥13 group), with both B- and T-lymphocyte islet inflammation common in children in the <7 group, whereas B cells are rare in the ≥13 group. Based on these observations, we sought to identify differences in genetic susceptibility between these prespecified age-at-diagnosis groups to inform on the etiology of the most aggressive form of type 1 diabetes that initiates in the first years of life.

Research design and methods: Using multinomial logistic regression models, we tested if known type 1 diabetes loci (17 within the HLA and 55 non-HLA loci) had significantly stronger effect sizes in the <7 group compared with the ≥13 group, using genotype data from 27,071 individuals (18,485 control subjects and 3,121 case subjects diagnosed at <7 years, 3,757 at 7-13 years, and 1,708 at ≥13 years).

Results: Six HLA haplotypes/classical alleles and six non-HLA regions, one of which functions specifically in β-cells (GLIS3) and the other five likely affecting key T-cell (IL2RA, IL10, IKZF3, and THEMIS), thymus (THEMIS), and B-cell development/functions (IKZF3 and IL10) or in both immune and β-cells (CTSH), showed evidence for stronger effects in the <7 group.

Conclusions: A subset of type 1 diabetes-associated variants are more prevalent in children diagnosed under the age of 7 years and are near candidate genes that act in both pancreatic β- and immune cells.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Classical HLA haplotype/alleles association with type 1 diabetes diagnosed at <7 years old (red circle; mean log-odds ratio age at diagnosis ± 95% CI), 7–13 years old (green circle; mean log-odds ratio age at diagnosis 7–13 ± 95% CI), and ≥13 years old (blue circle; mean log-odds ratio age at diagnosis ≥13 ± 95% CI), from a multinomial logistic regression. Left panel shows the log-odds ratios, with a dashed red line showing a log-odds ratio of 0. The right panel shows the association statistics from a likelihood ratio test comparing a multinomial logistic regression constraining the log-odds ratios from the <7 to ≥13 groups to be equal compared with an unconstrained model. The red dotted line shows nominal significance in heterogeneity (P < 0.05), and the red dashed line shows Bonferroni-corrected significance in heterogeneity. T1D, type 1 diabetes.
Figure 2
Figure 2
Non-HLA type 1 diabetes–associated loci showing on the left panel the log-odds ratios for the minor allele for those diagnosed at <7 years old (red circle; log-odds ratio age at diagnosis ± 95% CI), 7–13 years old (green circle; log-odds ratio age at diagnosis 7–13 ± 95% CI), and ≥13 years old (blue circle; log-odds ratio age at diagnosis ≥13 ± 95% CI), from a multinomial logistic regression; the dashed red line shows a log-odds ratio of 0. The right panel shows the association statistics from a likelihood ratio test comparing a multinomial logistic regression constraining the log-odds ratios from the <7 to ≥13 groups to be equal compared with an unconstrained model. The red dotted line shows the threshold for FDR of <0.1, and the red dashed line shows the threshold for Bonferroni-corrected heterogeneity (showing only loci with an FDR of <0.1). T1D, type 1 diabetes.
Figure 3
Figure 3
Results from colocalization and fine mapping in the IKZF3 region (A), CTSH region (B), and THEMIS region (C). Analyses include individuals from the U.K. and Northern Ireland and only control and case subjects diagnosed at <7 years. The first panel shows the association absolute z scores from a whole-blood eQTL study examining variant effects on IKZF3 (A), CTSH (B), and THEMIS (C) mRNA levels, colored by LD r2 to the most strongly associated variant with the respective mRNA expression. The second panel shows the association absolute z scores from logistic regression examining variant associations with type 1 diabetes risk at <7 years, colored by LD r2 to the most strongly associated variant with IKZF3 (A), CTSH (B), and THEMIS (C) mRNA. The third panel shows the gene positions (genome build 37), with arrows indicating direction of transcription. The fourth panel shows univariable early-diagnosed type 1 diabetes log-odds ratios and 95% CIs for the minor allele for each of the most likely causally associated variants as prioritized by GUESSFM. The fifth panel shows the loge(absolute eQTL z score) if z score >0 and −loge(absolute eQTL z score) if z score <0 for the effect of the minor allele, so direction of effect can be compared, including only eQTLs with a P value <5 × 10−150 (A), <5 × 10−50 (B), and <5 × 10−25 (C). The symbols are colored red if contained in the set of most likely causal variants, as produced by GUESSFM, and the shape corresponds to the gene that the variant is affecting transcription of, with the genes shown in the center of the figure. T1D, type 1 diabetes.

Comment in

  • Genetics of Type 1 Diabetes Comes of Age.
    Redondo MJ, Concannon P. Redondo MJ, et al. Diabetes Care. 2020 Jan;43(1):16-18. doi: 10.2337/dci19-0049. Diabetes Care. 2020. PMID: 31862821 Free PMC article. No abstract available.

References

    1. Krischer JP, Liu X, Vehik K, et al. .; TEDDY Study Group . Predicting islet cell autoimmunity and type 1 diabetes: an 8-year TEDDY Study Progress Report. Diabetes Care 2019;42:1051–1060 - PMC - PubMed
    1. Kuhtreiber WM, Washer SL, Hsu E, et al. . Low levels of C-peptide have clinical significance for established type 1 diabetes. Diabet Med 2015;32:1346–1353 - PMC - PubMed
    1. Rawshani A, Sattar N, Franzén S, et al. . Excess mortality and cardiovascular disease in young adults with type 1 diabetes in relation to age at onset: a nationwide, register-based cohort study. Lancet 2018;392:477–486 - PMC - PubMed
    1. Leete P, Willcox A, Krogvold L, et al. . Differential insulitic profiles determine the extent of β-cell destruction and the age at onset of type 1 diabetes. Diabetes 2016;65:1362–1369 - PubMed
    1. Howson JMM, Cooper JD, Smyth DJ, et al. .; Type 1 Diabetes Genetics Consortium . Evidence of gene-gene interaction and age-at-diagnosis effects in type 1 diabetes. Diabetes 2012;61:3012–3017 - PMC - PubMed

Publication types

MeSH terms

LinkOut - more resources