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Last Posted: Feb 27, 2024
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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

From the abstract: "A massive US programme that aims to improve health care by focusing on the genomes and health profiles of historically underrepresented groups has begun to yield results. Analyses of up to 245,000 genomes gathered by the All of Us programme, run by the US National Institutes of Health in Bethesda, Maryland, have uncovered more than 275 million new genetic markers, nearly 150 of which might contribute to type 2 diabetes. The work has also identified gaps in genetics research on non-white populations. The findings were published on 19 February in a package of papers "

AI-based diabetes care: risk prediction models and implementation concerns
SCY Wang et al, NPJ Digital Medicine, February 15, 2024

From the abstract: " The utilization of artificial intelligence (AI) in diabetes care has focused on early intervention and treatment management. Notably, usage has expanded to predict an individual’s risk for developing type 2 diabetes. A scoping review shows that while most studies used unimodal AI models, multimodal approaches were superior because they integrate multiple types of data. However, creating multimodal models and determining model performance are challenging tasks given the multi-factored nature of diabetes. For both unimodal and multimodal models, there are also concerns of bias with the lack of external validations and representation of race, age, and gender in training data."

Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis
A Ahmad et al, Com Med January 22, 2024

From the abstract: " We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies."

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

From the abstract: " Which pathways mediate the inequity in pregnancy health associated with low educational attainment? In this cohort study of more than 3 million individuals, an association between genetically estimated lower educational attainment and increased risk of ectopic pregnancy, hyperemesis gravidarum, gestational diabetes, preeclampsia, preterm birth, and offspring low birth weight was observed. A sizeable portion of these associations were explained by targetable risk factors. These findings suggest that the association of socioeconomic inequalities with adverse pregnancy outcomes may be reduced by intervening for type 2 diabetes, body mass index, smoking, high-density lipoprotein cholesterol level, and systolic blood pressure."


Disclaimer: Articles listed in the Public Health Genomics and Precision 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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