Effective August 1, 2024, this database was discontinued. All content will remain searchable and be preserved online for historical purposes only until 2029.
Type 2 Diabetes
What's New
Last Posted: Jun 27, 2024
- Effects of genetic risk on incident type 2 diabetes and glycemia: the T2D-GENE lifestyle intervention trial.
Maria Anneli Lankinen et al. J Clin Endocrinol Metab 2024 - A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk.
Bradley Jermy et al. Nat Commun 2024 15(1) 5007 - Identifying subtypes of type 2 diabetes mellitus with machine learning: development, internal validation, prognostic validation and medication burden in linked electronic health records in 420 448 individuals.
Mehrdad A Mizani et al. BMJ Open Diabetes Res Care 2024 12(3) - Machine Learning Approach to Metabolomic Data Predicts Type 2 Diabetes Mellitus Incidence.
Andreas Leiherer et al. Int J Mol Sci 2024 25(10) - Prediction of progression to type 1 diabetes with dynamic biomarkers and risk scores
- Longitudinal artificial intelligence-based deep learning models for diagnosis and prediction of the future occurrence of polyneuropathy in diabetes and prediabetes.
Yun-Ru Lai et al. Neurophysiol Clin 2024 54(4) 102982 - Machine Learning-Based Predictive Modeling of Diabetic Nephropathy in Type 2 Diabetes Using Integrated Biomarkers: A Single-Center Retrospective Study.
Ying Zhu et al. Diabetes Metab Syndr Obes 2024 171987-1997 - Physical performance strongly predicts all-cause mortality risk in a real-world population of older diabetic patients: machine learning approach for mortality risk stratification.
Alberto Montesanto et al. Front Endocrinol (Lausanne) 2024 151359482 - Deriving Treatment Decision Support From Dutch Electronic Health Records by Exploring the Applicability of a Precision Cohort-Based Procedure for Patients With Type 2 Diabetes Mellitus: Precision Cohort Study.
Xavier Pinho et al. Online J Public Health Inform 2024 16e51092 - Equitable implementation of a precision digital health program for glucose management in individuals with newly diagnosed type 1 diabetes
- Polygenic scores for longitudinal prediction of incident type 2 diabetes in an ancestrally and medically diverse primary care physician network: a patient cohort study.
Ravi Mandla et al. Genome Med 2024 16(1) 63 - Autonomous artificial intelligence versus teleophthalmology for diabetic retinopathy.
Donatella Musetti et al. Eur J Ophthalmol 2024 11206721241248856 - Modification of coronary artery disease clinical risk factors by coronary artery disease polygenic risk score.
Buu Truong et al. Med 2024 - Burden of Mendelian disorders in a large Middle Eastern biobank.
Waleed Aamer et al. Genome Med 2024 16(1) 46 - Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness.
Martin Bernstorff et al. Acta Psychiatr Scand 2024 - A New Tool to Identify Pediatric Patients with Atypical Diabetes Associated with Gene Polymorphisms.
Sophie Welsch et al. Diabetes Metab J 2024 - Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation.
Lianhua Liu et al. Front Endocrinol (Lausanne) 2024 151320335 - Multi-ancestry polygenic mechanisms of type 2 diabetes
K Smith et al, Nature Medicine, March 6, 2024 - Machine learning based predictive model of Type 2 diabetes complications using Malaysian National Diabetes Registry: A study protocol.
Mohamad Zulfikrie Abas et al. J Public Health Res 2024 13(1) 22799036241231786 - Ambitious survey of human diversity yields millions of undiscovered genetic variants Analysis of the ‘All of Us’ genomic data set begins to tackle inequities in genetics research.
M Koslov, Nature, February 19, 2024 - AI-based diabetes care: risk prediction models and implementation concerns
SCY Wang et al, NPJ Digital Medicine, February 15, 2024 - Some patients with type 2 diabetes may benefit from intensive glycaemic and blood pressure control: A post-hoc machine learning analysis of ACCORD trial data.
Tianze Jiao et al. Diabetes Obes Metab 2024 - Familial Hypercholesterolemia in the Elderly: An Analysis of Clinical Profile and Atherosclerotic Cardiovascular Disease Burden from the Hellas-FH Registry.
Christina Antza et al. Biomedicines 2024 12(1) - Type 2 diabetes and its genetic susceptibility are associated with increased severity and mortality of COVID-19 in UK Biobank.
Aeyeon Lee et al. Commun Biol 2024 7(1) 122 - Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis
A Ahmad et al, Com Med January 22, 2024 - Genetic contributions to risk of adverse pregnancy outcomes.
Zachary H Hughes et al. Curr Cardiovasc Risk Rep 2024 17(11) 185-193 - Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial.
Risa M Wolf et al. Nat Commun 2024 15(1) 421 - Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes: A Mendelian Randomization Study.
Tormod Rogne et al. JAMA Netw Open 2024 1 (1) e2351166 - Revolutionizing Early Disease Detection: A High-Accuracy 4D CNN Model for Type 2 Diabetes Screening in Oman.
Khoula Al Sadi et al. Bioengineering (Basel) 2023 10(12) - Implementing a Pharmacogenomic-driven Algorithm to Guide Antiplatelet Therapy among Caribbean Hispanics: A non-randomized prospective cohort study.
Héctor Nuñez-Medina et al. medRxiv 2023 - Machine learning for predicting intrahospital mortality in ST-elevation myocardial infarction patients with type 2 diabetes mellitus.
Panke Chen et al. BMC Cardiovasc Disord 2023 23(1) 585 - What Is Prediabetes?
J Jin, JAMA Patient Corner, December 1, 2023 - Affected brother as the highest risk factor of type 1 diabetes development in children and adolescents: One center data before implementing type 1 diabetes national screening.
Anna Wedrychowicz et al. Adv Clin Exp Med 2023 - Including diverse populations enhances the discovery of type 2 diabetes loci
S Fatumo, Nat Rev Genetics, November 22, 2023 - The GenoVA study: Equitable implementation of a pragmatic randomized trial of polygenic-risk scoring in primary care.
Jason L Vassy et al. Am J Hum Genet 2023 110(11) 1841-1852 - Association Between a First-Degree Family History and Self-Reported Personal History of Obesity, Diabetes, and Heart and Blood Conditions: Results From the All of Us Research Program.
Danielle Rasooly et al. J Am Heart Assoc 2023 11 e030779 - Longitudinal Trajectories of Glycemic Control among U.S. Adults with Newly Diagnosed Diabetes.
Rozalina G McCoy et al. Diabetes Res Clin Pract 2023 110989 - A scoping review of artificial intelligence-based methods for diabetes risk prediction.
Farida Mohsen et al. NPJ Digit Med 2023 10 (1) 197 - Digital lifestyle treatment improves long-term metabolic control in type 2 diabetes with different effects in pathophysiological and genetic subgroups.
Vishal A Salunkhe et al. NPJ Digit Med 2023 10 (1) 199 - Identification of monogenic diabetes in an Australian cohort using the Exeter maturity-onset diabetes of the young (MODY) probability calculator and next-generation sequencing gene panel testing.
Sunita M C De Sousa et al. Acta Diabetol 2023
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About Diabetes PHGKB
Diabetes PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to diabetes...more
Content Summary
Common Diabetes Related Topics
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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