Phenotypic and genetic classification of diabetes

2022/08/11 by Aaron J. Deutsch, Emma Ahlqvist, Miriam S. Udler · 30 citations
Medicine · Biochemistry, Genetics and Molecular Biology · #Pancreatic function and diabetes #Diabetes and associated disorders #Diet and metabolism studies

paper · pdf · doi:10.1007/s00125-022-05769-4

Abstract

The historical subclassification of diabetes into predominantly types 1 and 2 is well appreciated to inadequately capture the heterogeneity seen in patient presentations, disease course, response to therapy and disease complications. This review summarises proposed data-driven approaches to further refine diabetes subtypes using clinical phenotypes and/or genetic information. We highlight the benefits as well as the limitations of these subclassification schemas, including practical barriers to their implementation that would need to be overcome before incorporation into clinical practice.

Citations

• Painting a new picture of personalised medicine for diabetes
• Subtypes of Type 2 Diabetes Determined From Clinical Parameters

Cited by

• Machine learning-based reproducible prediction of type 2 diabetes subtypes
• Subtypes of newly diagnosed type 2 diabetes and risk of complications: analysis of electronic health records in the USA
• Type 2 diabetes subtypes for precision medicine: methodological challenges and alternative prediction-based approaches
• Enhanced genetic fine mapping accuracy with Bayesian Linear Regression models in diverse genetic architectures
• Genetic basis of early onset and progression of type 2 diabetes in South Asians
• Overt diabetes imposes a comparable burden on outcomes as pregestational diabetes: a cohort study. [europepmc]
• Screening for Diabetes Mellitus in Patients with Hidradenitis Suppurativa-A Monocentric Study in Germany. [europepmc]
• Precision Medicine in Type 1 Diabetes. [europepmc]
• Diabetes mellitus in breast cancer survivors: metabolic effects of endocrine therapy. [europepmc]
• Use of noninvasive imaging to identify causes of skeletal fragility in adults with diabetes: a review. [europepmc]
• EASL-EASD-EASO Clinical Practice Guidelines on the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). [europepmc]
• Machine learning-based reproducible prediction of type 2 diabetes subtypes. [europepmc]
• PyCaret for Predicting Type 2 Diabetes: A Phenotype- and Gender-Based Approach with the "Nurses' Health Study" and the "Health Professionals' Follow-Up Study" Datasets. [europepmc]
• Comparison of clustering and phenotyping approaches for subclassification of type 2 diabetes and its association with remission in Indian population. [europepmc]
• Algorithms for the identification of prevalent diabetes in the All of Us Research Program validated using polygenic scores. [europepmc]
• Type 2 diabetes pathway-specific polygenic risk scores elucidate heterogeneity in clinical presentation, disease progression and diabetic complications in 18,217 Chinese individuals with type 2 diabetes. [europepmc]
• Clinical utility of novel diabetes subgroups in predicting vascular complications and mortality: up to 25 years of follow-up of the HUNT Study. [europepmc]
• Genetic basis of early onset and progression of type 2 diabetes in South Asians. [europepmc]
• Characterizing Circulating microRNA Signatures of Type 2 Diabetes Subtypes. [europepmc]
• Adipocentric Strategy for the Treatment of Type 2 Diabetes Mellitus. [europepmc]
• Registered clinical trials targeting type 2 diabetes remission with pharmacological interventions. [europepmc]
• Cluster Analysis in Diabetes Research: A Systematic Review Enhanced by a Cross-Sectional Study. [europepmc]
• Diabetes mellitus polygenic risk scores: heterogeneity and clinical translation. [europepmc]
• Enhanced genetic fine mapping accuracy with Bayesian Linear Regression models in diverse genetic architectures. [europepmc]
• Diabetes mellitus as a multisystem disease: understanding subtypes, complications, and the link with steatotic liver diseases in humans. [europepmc]
• Aetiological clustering of newly diagnosed type 2 diabetes using machine learning: a retrospective cross-sectional study in Dubai, UAE. [europepmc]
• Exploring the Evidence for Personalized Pharmacotherapy in Type 2 Diabetes-A Systematic Review. [europepmc]
• Improving our understanding of the biology of aging: findings from the Age-It Research Program. [europepmc]
• Subtypes of newly diagnosed type 2 diabetes and risk of complications: analysis of electronic health records in the USA. [europepmc]
• Plasma metabolite association profiles for type 2 diabetes genetic clusters in Finnish men. [europepmc]

Related

• Defining and Classifying New Subgroups of Diabetes
• A novel diabetes typology: towards precision diabetology from pathogenesis to treatment
• Subtypes of Type 2 Diabetes Determined From Clinical Parameters
• Type 2 diabetes subtypes for precision medicine: methodological challenges and alternative prediction-based approaches
• Type 2 diabetes: a multifaceted disease