Novel insights into genetics and clinics of the HNF1A-MODY
- PMID: 31517624
- DOI: 10.2478/enr-2019-0013
Novel insights into genetics and clinics of the HNF1A-MODY
Abstract
MODY (Maturity Onset Diabetes of the Young) is a type of diabetes resulting from a pathogenic effect of gene mutations. Up to date, 13 MODY genes are known. Gene HNF1A is one of the most common causes of MODY diabetes (HNF1A-MODY; MODY3). This gene is polymorphic and more than 1200 pathogenic and non-pathogenic HNF1A variants were described in its UTRs, exons and introns. For HNF1A-MODY, not just gene but also phenotype heterogeneity is typical. Although there are some clinical instructions, HNF1A-MODY patients often do not meet every diagnostic criteria or they are still misdiagnosed as type 1 and type 2 diabetics. There is a constant effort to find suitable biomarkers to help with in distinguishing of MODY3 from Type 1 Diabetes (T1D) and Type 2 Diabetes (T2D). DNA sequencing is still necessary for unambiguous confirmation of clinical suspicion of MODY. NGS (Next Generation Sequencing) methods brought discoveries of multiple new gene variants and new instructions for their pathogenicity classification were required. The most actual problem is classification of variants with uncertain significance (VUS) which is a stumbling-block for clinical interpretation. Since MODY is a hereditary disease, DNA analysis of family members is helpful or even crucial. This review is updated summary about HNF1A-MODY genetics, pathophysiology, clinics functional studies and variant classification.
Keywords: HNF1α; MODY; clinics; diabetes; insulin secretion.
Similar articles
-
Genetic Confirmation Rate in Clinically Suspected Maturity-Onset Diabetes of the Young.Can J Diabetes. 2016 Dec;40(6):555-560. doi: 10.1016/j.jcjd.2016.05.010. Epub 2016 Sep 12. Can J Diabetes. 2016. PMID: 27634015
-
Functional Analyses of HNF1A-MODY Variants Refine the Interpretation of Identified Sequence Variants.J Clin Endocrinol Metab. 2020 Apr 1;105(4):dgaa051. doi: 10.1210/clinem/dgaa051. J Clin Endocrinol Metab. 2020. PMID: 32017842
-
Characterisation of HNF1A variants in paediatric diabetes in Norway using functional and clinical investigations to unmask phenotype and monogenic diabetes.Diabetologia. 2023 Dec;66(12):2226-2237. doi: 10.1007/s00125-023-06012-4. Epub 2023 Oct 5. Diabetologia. 2023. PMID: 37798422 Free PMC article.
-
HNF1A:From Monogenic Diabetes to Type 2 Diabetes and Gestational Diabetes Mellitus.Front Endocrinol (Lausanne). 2022 Mar 1;13:829565. doi: 10.3389/fendo.2022.829565. eCollection 2022. Front Endocrinol (Lausanne). 2022. PMID: 35299962 Free PMC article. Review.
-
Primary hepatocellular adenoma due to biallelic HNF1A mutations and its co-occurrence with MODY 3: case-report and review of the literature.Endocrine. 2020 Mar;67(3):544-551. doi: 10.1007/s12020-019-02138-x. Epub 2019 Nov 21. Endocrine. 2020. PMID: 31754975 Free PMC article. Review.
Cited by
-
Unraveling the genetic basis of MODY: insights from next-generation sequencing.J Appl Genet. 2024 Oct 3. doi: 10.1007/s13353-024-00907-7. Online ahead of print. J Appl Genet. 2024. PMID: 39361122
-
Pancreatic beta-cell function dynamics in youth with GCK, HNF1A, and KCNJ11 genes mutations during mixed meal tolerance test.Pediatr Diabetes. 2022 Nov;23(7):1009-1016. doi: 10.1111/pedi.13404. Epub 2022 Sep 6. Pediatr Diabetes. 2022. PMID: 36068963 Free PMC article.
-
In silico identification and functional prediction of differentially expressed genes in South Asian populations associated with type 2 diabetes.PLoS One. 2023 Dec 14;18(12):e0294399. doi: 10.1371/journal.pone.0294399. eCollection 2023. PLoS One. 2023. PMID: 38096208 Free PMC article.
-
Prevalence and clinical characteristics of T2DM patients with OTUD3 gene rs78466831 SNP at a single academic center in China.Front Endocrinol (Lausanne). 2022 Dec 2;13:1059641. doi: 10.3389/fendo.2022.1059641. eCollection 2022. Front Endocrinol (Lausanne). 2022. PMID: 36531510 Free PMC article.
-
Functional Genomics in Pancreatic β Cells: Recent Advances in Gene Deletion and Genome Editing Technologies for Diabetes Research.Front Endocrinol (Lausanne). 2020 Oct 8;11:576632. doi: 10.3389/fendo.2020.576632. eCollection 2020. Front Endocrinol (Lausanne). 2020. PMID: 33162936 Free PMC article. Review.
Publication types
MeSH terms
Substances
Supplementary concepts
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical