Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to page options Skip directly to site content
Diabetes PHGKB

Specific PHGKB|Diabetes PHGKB|PHGKB

Last Posted: Jun 17, 2021
spot light Spotlight

Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes
CC Robertson et al, Nature Genetics, June 14, 2021

We report the largest and most diverse genetic study of type 1 diabetes (T1D) to date (61,427 participants), yielding 78 genome-wide-significant (P?<?5?×?10-8) regions, including 36 that are new. We define credible sets of T1D-associated variants and show that they are enriched in immune-cell accessible chromatin, particularly CD4+ effector T cells.

Glucose monitors revolutionized diabetes care. Now digital health startups want to bring them to the masses
K Palmer, Stat News, April 15, 2021

The flood of startups belies their belief in the opportunity for glucose monitoring to improve health, especially in the U.S., where the burden of metabolic disease is especially high. Each targets a slightly different subset of users while steering clear of any medical claims.

Pharmacogenetic-guided glimepiride therapy in type-2 diabetes mellitus: a cost-effectiveness study
C Fokoun et al, PGX Journal, March 17, 2021

With pharmacogenetic-guided therapy, the cost to avoid an episode of severe hypoglycemia event per 100 000 patients treated was €421 834. Genotyping cost was the most influential factor on the incremental cost-effectiveness ratio. In conclusion, the potential cost of CYP2C9 genotype-guided dosing for glimepiride therapy is relatively high, and associated with modest improvements with respect to the number of hypoglycemia avoided, as compared with standard dosing.

Successful incorporation of a genetic risk prediction research platform into routine newborn screening
OM Bendor-Samuel et al, MEDRXIV, March 1, 2021

Between April 2018 and November 2020, over 15500 babies were enrolled into INGR1D (Investigating Genetic Risk for T1D), a research study to identify newborns with an increased genetic risk of T1D. This project, performed as part of a T1D primary prevention study (the Primary Oral Insulin Trial, POInT), has helped to pioneer the integration of genetic screening into the NHS Newborn Blood Spot Screening Program (NBSSP) for consenting mothers, without affecting the screening pathway.


news Latest News and Publications
A Mendelian Randomization Approach Using 3-HMG-Coenzyme-A Reductase Gene Variation to Evaluate the Association of Statin-Induced Low-Density Lipoprotein Cholesterol Lowering With Noncardiovascular Disease Phenotypes. External Web Site Icon
Liu Ge et al. JAMA network open 2021 4(6) e2112820
Determinants of Adherence to Diabetes Screening in Iranian Adults With a Positive Family History of Diabetes. External Web Site Icon
Malih Narges et al. Journal of preventive medicine and public health = Yebang Uihakhoe chi 2021 54(3) 190-198
ARTIFICIAL INTELLIGENCE IN DIABETIC RETINOPATHY SCREENING. A REVIEW. External Web Site Icon
Stranák Z et al. Ceska a slovenska oftalmologie : casopis Ceske oftalmologicke spolecnosti a Slovenske oftalmologicke spolecnosti 2020 1(Ahead of print) 1-8
Development of a predictive risk model for all-cause mortality in patients with diabetes in Hong Kong. External Web Site Icon
Lee Sharen et al. BMJ open diabetes research & care 2021 9(1)
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. External Web Site Icon
Tang Yucheng et al. Multimodal learning for clinical decision support and clinical image-based procedures : 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, ... 2021 1244513-23
Familial hypercholesterolemia related admission for acute coronary syndrome in the United States: Incidence, predictors, and outcomes. External Web Site Icon
Kheiri Babikir et al. Journal of clinical lipidology 2021
An Inverse Relation between Hyperglycemia and Skeletal Muscle Mass Predicted by Using a Machine Learning Approach in Middle-Aged and Older Adults in Large Cohorts. External Web Site Icon
Wu Xuangao et al. Journal of clinical medicine 2021 10(10)
Development of a Wearable Camera and AI Algorithm for Medication Behavior Recognition. External Web Site Icon
Lee Hwiwon et al. Sensors (Basel, Switzerland) 2021 21(11)
The Comprehensive Machine Learning Analytics for Heart Failure. External Web Site Icon
Guo Chao-Yu et al. International journal of environmental research and public health 2021 18(9)
Modernizing family health history: achievable strategies to reduce implementation gaps. External Web Site Icon
Wildin Robert S et al. Journal of community genetics 2021

More


Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics 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.

TOP