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Last Posted: Apr 25, 2024
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Dose-Response Associations of Lipid Traits With Coronary Artery Disease and Mortality.
Guoyi Yang et al. JAMA Netw Open 2024 1 (1) e2352572

From the abstract: "Do apolipoprotein B (apoB), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG) increase risk of coronary artery disease (CAD), all-cause mortality, or cause-specific mortality, and if so, what are the shapes of these associations? In this genetic association study using mendelian randomization including 347?797 participants of European ancestry from UK Biobank, genetically predicted apoB and LDL-C were positively associated with CAD, all-cause mortality, and cardiovascular mortality, all in a dose-dependent way. Genetically predicted TG was positively associated with CAD, although the presence of pleiotropy was suggested. "

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

From the abstract: "We assessed the association between a self-reported family history of ODHBs and their risk in the adult population (age =20 years) of the AoU (All of Us) Research Program, a longitudinal cohort study of diverse participants across the United States. We conducted a family history-wide association study to systematically assess the association of a first-degree family history of 15 ODHBs in AoU. We use the FamWAS method to estimate 225 familial associations among 15 ODHBs. The results include overlapping associations between family history of different types of cardiometabolic conditions (such as type 2 diabetes and coronary artery disease), and their risk factors (obesity, hypertension), where adults with a family history of 1 ODHB exhibited 1.1 to 5.6 times (1.5, on average) the odds of having a different ODHB. "

Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments.
George B Busby et al. Nat Commun 2023 11 (1) 7105

From the abstract: " We develop and validate ancestry-specific Polygenic Risk Scores (PRSs) for Coronary Artery Disease (CAD) using 29,389 individuals from diverse cohorts and genetic ancestry groups. The CAD PRSs outperform published scores with an average Odds Ratio per Standard Deviation of 1.57 (SD = 0.14) and identify between 12% and 24% of individuals with high genetic risk. Using this risk factor to reclassify borderline or intermediate 10 year Atherosclerotic Cardiovascular Disease (ASCVD) risk improves assessments for both CAD (Net Reclassification Improvement (NRI) = 13.14% (95% CI 9.23–17.06%)) and ASCVD (NRI = 10.70 (95% CI 7.35-14.05)) in an independent cohort of 9,691 individuals. "

Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries.
Bernhard Föllmer et al. Nat Rev Cardiol 2023 7

Artificial intelligence (AI) is likely to revolutionize the way medical images are analysed and has the potential to improve the identification and analysis of vulnerable or high-risk atherosclerotic plaques in coronary arteries, leading to advances in the treatment of coronary artery disease. In this Roadmap, we review existing evidence on the application of AI to the imaging of vulnerable plaque in coronary arteries and provide consensus recommendations developed by an interdisciplinary group of experts on AI and non-invasive and invasive coronary imaging.

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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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