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Whole-exome sequencing reveals novel variants of monogenic diabetes in Tunisia: impact on diagnosis and healthcare management.
Kheriji, Nadia; Dallali, Hamza; Gouiza, Ismail; Hechmi, Meriem; Mahjoub, Faten; Mrad, Mehdi; Krir, Asma; Soltani, Manel; Trabelsi, Hajer; Hamdi, Walid; Bahlous, Afef; Ben Ahmed, Melika; Jamoussi, Henda; Kefi, Rym.
Afiliación
  • Kheriji N; Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia.
  • Dallali H; University of Tunis El Manar, Tunis, Tunisia.
  • Gouiza I; Faculty of Medicine of Tunis, Tunis, Tunisia.
  • Hechmi M; Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia.
  • Mahjoub F; Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia.
  • Mrad M; University of Tunis El Manar, Tunis, Tunisia.
  • Krir A; Faculty of Medicine of Tunis, Tunis, Tunisia.
  • Soltani M; MitoLab Team, Unité MitoVasc, UMR CNRS 6015, Institut national de la santé et de la recherche médicale U1083, SFR ICAT, University of Angers, Angers, France.
  • Trabelsi H; Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia.
  • Hamdi W; University of Tunis El Manar, Tunis, Tunisia.
  • Bahlous A; Faculté de Médecine de Tunis, Research Unit UR18ES01 on "Obesity", Tunis, Tunisia.
  • Ben Ahmed M; National Institute of Nutrition and Food Technology, Tunis, Tunisia.
  • Jamoussi H; University of Tunis El Manar, Tunis, Tunisia.
  • Kefi R; Faculty of Medicine of Tunis, Tunis, Tunisia.
Front Genet ; 14: 1224284, 2023.
Article en En | MEDLINE | ID: mdl-38162681
ABSTRACT

Introduction:

Monogenic diabetes (MD) accounts for 3%-6% of all cases of diabetes. This prevalence is underestimated due to its overlapping clinical features with type 1 and type 2 diabetes. Hence, genetic testing is the most appropriate tool for obtaining an accurate diagnosis. In Tunisia, few cohorts of MD have been investigated until now. The aim of this study is to search for pathogenic variants among 11 patients suspected of having MD in Tunisia using whole-exome sequencing (WES). Materials and

methods:

WES was performed in 11 diabetic patients recruited from a collaborating medical center. The pathogenicity of genetic variation was assessed using combined filtering and bioinformatics prediction tools. The online ORVAL tool was used to predict the likelihood of combinations of pathogenic variations. Then, Sanger sequencing was carried out to confirm likely pathogenic predicted variants among patients and to check for familial segregation. Finally, for some variants, we performed structural modeling to study their impact on protein function.

Results:

We identified novel variants related to MD in Tunisia. Pathogenic variants are located in several MODY and non-MODY genes. We highlighted the presence of syndromic forms of diabetes, including the Bardet-Biedl syndrome, Alström syndrome, and severe insulin resistance, as well as the presence of isolated diabetes with significantly reduced penetrance for Wolfram syndrome-related features. Idiopathic type 1 diabetes was also identified in one patient.

Conclusion:

In this study, we emphasized the importance of genetic screening for MD in patients with a familial history of diabetes, mainly among admixed and under-represented populations living in low- and middle-income countries. An accurate diagnosis with molecular investigation of MD may improve the therapeutic choice for better management of patients and their families. Additional research and rigorous investigations are required to better understand the physiopathological mechanisms of MD and implement efficient therapies that take into account genomic context and other related factors.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2023 Tipo del documento: Article País de afiliación: Túnez Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2023 Tipo del documento: Article País de afiliación: Túnez Pais de publicación: Suiza