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Title:Polygenic score from MODY genes is associated with type 1 diabetes and disease characteristics
Authors:ID Catamo, Eulalia (Author)
ID Conti, Andrea (Author)
ID Franceschi, Roberto (Author)
ID Dovč, Klemen (Author)
ID Morosini, Camilla (Author)
ID Tinti, Davide (Author)
ID Battelino, Tadej (Author), et al.
Files:.pdf PDF - Presentation file, download (820,51 KB)
MD5: 302D706E2B3F6334F135084121DA15A2
 
URL URL - Source URL, visit https://link.springer.com/article/10.1007/s00592-025-02544-w
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo UKC LJ - Ljubljana University Medical Centre
Abstract:Aims: This study evaluates the contribution of common variants in Maturity-Onset Diabetes of the Young (MODY) genes on type 1 diabetes (T1D), using a polygenic score (PGS) approach. Methods: 485 children and youth diagnosed with T1D from at least 1 year and 271 healthy controls (HC) were recruited. Personal information (i.e. age, sex, height, weight) were collected for each participant, and clinical information (i.e. age at diagnosis, disease duration, presence of autoantibodies and ketoacidosis at onset (DKA)) were also obtained for T1D subjects. Participants were genotyped using Illumina Infinium Global Screening Array. PGS based on Single Nucleotide Polymorphisms (SNPs) in 16 MODY genes were developed. The association of this PGS with T1D susceptibility and clinical disease characteristics was assessed by regression analysis. Results: A PGS including 335 SNPs in MODY genes discriminates T1D from HC (AUC = 60.1%, AIC = 787.6). This PGS was significantly higher in T1D compared to HC (p-value = 0.0004, pseudo-R2 = 2.85%). Moreover, regression analysis between PGS and T1D clinical characteristics showed higher PGS values in T1D subjects with zinc transporter 8 autoantibodies (ZnT8A) compared with T1D subjects without ZnT8A (p-value = 0.04). A similar trend was also observed for antibodies directed against glutamic acid decarboxylase (GADA), although the association did not reach statistical significance (p-value = 0.06). Conclusions: Our study suggests that a polygenic approach based on MODY genes may discriminate T1D from HC and may contribute to patient stratification, helping to better understand T1D heterogeneity.
Keywords:type 1 diabetes, MODY, polygenic score, autoantibody
Publication status:Published
Publication version:Version of Record
Year of publishing:2025
Number of pages:str. 2021-2029
Numbering:Vol. 62
PID:20.500.12556/DiRROS-24610 New window
UDC:616.379
ISSN on article:1432-5233
DOI:10.1007/s00592-025-02544-w New window
COBISS.SI-ID:250987523 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 30. 9. 2025;
Publication date in DiRROS:09.12.2025
Views:70
Downloads:30
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Record is a part of a journal

Title:Acta diabetologica
Publisher:Springer
ISSN:1432-5233
COBISS.SI-ID:2474004 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J3-4521-2022
Name:Endogeni virusni elementi v patogenezi sladkorne bolezni tipa 1

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J3-4528-2022
Name:Uporaba avtonomne umetne inteligence za zaznavo zgodnjih znakov okvare očesne mrežnice in povezava z dolgotrajnimi spremembami ravni glukoze pri otrocih in mladih s sladkorno boleznijo tipa 1

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P3-0343-2022
Name:Etiologija, zgodnje odkrivanje in zdravljenje bolezni pri otrocih in mladostnikih

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License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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