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Hot Topics of the Day|PHGKB
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05/29/2020

Hot Topics of the Day are picked by experts to capture the latest information and publications on public health genomics and precision health for various diseases and health topics. Sources include published scientific literature, reviews, blogs and popular press articles.

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How countries are using genomics to help avoid a second coronavirus wave
C Watson, Nature News, May 27, 2020

Countries that have successfully suppressed infections are entering the next phase of the pandemic — where there's a risk of new cases appearing. Researchers say that genomics will be crucial to quickly track and control these outbreaks. Studies already show that outbreaks tend to be shorter and smaller when genomics is used to help contact tracing.

COVID-19 and Your Smartphone: BLE-based Smart Contact Tracing
PC Ng et al ARXIV, May 28, 2020

From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic
R Miikulainen et al, ARXIV, May 28, 2020

Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images
D Gil et al, ARXIV, May 28, 2020

Mobility data can reveal the entire COVID− 19 outbreak course in Japan
J Kurita et al, MEDRXIV, May 28, 2020

Hospitalization and Mortality among Black Patients and White Patients with Covid-19.
Price-Haywood Eboni G et al. The New England journal of medicine 2020 May

In a large cohort in Louisiana, 76.9% of the patients who were hospitalized with Covid-19 and 70.6% of those who died were black, whereas blacks comprise only 31% of the Ochsner Health population. Black race was not associated with higher in-hospital mortality than white race, after adjustment for differences in sociodemographic and characteristics on admission.

A Droplet Digital PCR Assay to Detect SARS-CoV-2 RNA
MJ Romeo et al, MEDRXIV, May 28, 2020

Blood-borne biomarkers may help predict COVID-19 mortality
I de Vlaminck, Sci Trans Med, May 28, 2020

An interpretable mortality prediction model for COVID-19 patients
L Yan et al, Nature Machine Intelligence, May 28, 2020

This study leverages a database of blood samples from 485 infected patients in the region of Wuhan, China, to identify crucial predictive biomarkers of disease mortality. Machine learning tools selected three biomarkers that predict the mortality of individual patients more than 10 days in advance with more than 90% accuracy.

A grim scorekeeper of biological aging
JS Stevens, Sci Trans Med, May 28, 2020

An epigenetic clock designed to predict time-to-death, called GrimAge, may be accelerated relative to chronological age in male combat veterans with PTSD and healthy combat-exposed veterans without PTSD. GrimAge is a marker of biological aging processes that is calculated using methylation-based markers of eight plasma proteins and a marker of smoking exposure.

New Ethical Questions and 21st Century Genomics
The Hasting Center special event, June 4, 2020

AI Systems Predict the Course of Macular Degeneration
L Harrison, Medscape, May 27, 2020

Two new artificial intelligence programs can predict which eyes are most likely to develop the most severe forms of age-related macular degeneration (AMD). If validated with clinical trials, the programs could help clinicians identify the eyes they need to follow most closely so they can begin treatment promptly, or even prescribe prophylaxis.


Disclaimer: Articles listed in Hot Topics of the Day are selected by Public Health Genomics Branch to provide current awareness of the scientific 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 Clips, 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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