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Diabetes PHGKB

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Last Posted: May 18, 2022
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Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.
Mahajan Anubha et al. Nature genetics 2022 5 (5) 560-572

We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10-9), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability

Polygenic scores, diet quality, and type 2 diabetes risk: An observational study among 35,759 adults from 3 US cohorts.
Merino Jordi et al. PLoS medicine 2022 4 (4) e1003972

In 3 cohort studies involving 35,759 men and women in the US, we used novel polygenic scores for type 2 diabetes to systematically evaluate the presence of additive and multiplicative interactions between genetic risk and diet quality on the development of type 2 diabetes. We found that both low diet quality and increased overall or pathway-specific genetic risk were independently associated with higher risk of type 2 diabetes. We documented that within any genetic risk category, high diet quality, as compared to low diet quality, was associated with a nearly 30% lower risk of type 2 diabetes. Further, we showed that the risk of type 2 diabetes attributed to the combination of increased genetic risk and low diet quality was similar to the sum of the risks associated with each factor alone.

Vaccinating Children with Disabilities Against COVID-19
CDC, April 2022

CDC recommends everyone 5 years and older get vaccinated against COVID-19 - including children with disabilities who may be at a higher risk for severe illness from COVID-19. Many children with disabilities have underlying medical conditions - such as lung, heart, or kidney disease, a weakened immune system, cancer, diabetes, some blood diseases, or conditions of the muscular or central nervous system - which put them at increased risk for severe illness from COVID-19.

Donor and recipient polygenic risk scores influence the risk of post-transplant diabetes
A Shaked et al Nature Medicine, April 2022

Post-transplant diabetes mellitus (PTDM) reduces allograft and recipient life span. Polygenic risk scores (PRSs) show robust association with greater risk of developing type?2 diabetes (T2D). We examined the association of PTDM with T2D PRS in liver recipients (n?=?1,581) and their donors (n?=?1,555), and kidney recipients (n?=?2,062) and their donors (n?=?533). Recipient T2D PRS was associated with pre-transplant T2D and the development of PTDM. T2D PRS in liver donors, but not in kidney donors, was an independent risk factor for PTDM development.


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Heterogeneous treatment effects of intensive glycemic control on major adverse cardiovascular events in the ACCORD and VADT trials: a machine-learning analysis. External Web Site Icon
Edward Justin A et al. Cardiovascular diabetology 2022 21(1) 58
Machine learning approaches to predict the 1-year-after-initial-AMI survival of elderly patients. External Web Site Icon
Lee Jisoo et al. BMC medical informatics and decision making 2022 22(1) 115
Long-term Prediction of Blood Glucose Levels in Type 1 Diabetes Using a CNN-LSTM-Based Deep Neural Network. External Web Site Icon
Jaloli Mehrad et al. Journal of diabetes science and technology 2022 19322968221092785
Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach. External Web Site Icon
Chen Wansu et al. Journal of clinical gastroenterology 2022
Association of Lipoprotein (a) in Coronary Artery Disease in Young Individuals. External Web Site Icon
Patted Aishwarya et al. The Journal of the Association of Physicians of India 2022 70(4) 11-12
Development of a clinical polygenic risk score assay and reporting workflow. External Web Site Icon
Hao Limin et al. Nature medicine 2022
Polygenic risk score as a possible tool for identifying familial monogenic causes of complex diseases. External Web Site Icon
Lu Tianyuan et al. Genetics in medicine : official journal of the American College of Medical Genetics 2022
Preconception leisure-time physical activity and family history of stroke and myocardial infarction associate with preterm delivery: findings from a Norwegian cohort. External Web Site Icon
Engen Tone et al. BMC pregnancy and childbirth 2022 22(1) 341
Risk Factor Analysis for Predicting the Onset of Rotator Cuff Calcific Tendinitis Based on Artificial Intelligence. External Web Site Icon
Dong Shengtao et al. Computational intelligence and neuroscience 2022 20228978878
Hospitalizations of Children Aged 5-11 Years with Laboratory-Confirmed COVID-19 - COVID-NET, 14 States, March 2020-February 2022. External Web Site Icon
Shi Dallas S, et al. MMWR. Morbidity and mortality weekly report 2022 0 0. (16) 574-581

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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

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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.

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