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Hot Topics of the Day|PHGKB
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09/22/2020

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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Archived Hot Topics of the Day By Date

Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity
G Costain et al, JAMA Network Open, September 22, 2020

In this cohort study that included 138 individuals from 49 families, genome sequencing detected all genomic variation previously identified by conventional genetic testing and resulted in a new diagnosis for 31% of patients.

Tracking COVID-19 with wastewater
DA Larsen et al, Nature Biotechnology, September 21, 2020

Wastewater surveillance of COVID-19 could have many benefits. It is a cost-effective way to survey transmission dynamics of entire communities. It avoids the biases of other epidemiological indicators4. It collects data from people who lack access to healthcare. And if it were successful in revealing infection dynamics earlier than diagnostic testing, it could provide public-health officials with near-real-time information on disease prevalence.

Uncovering clinical risk factors and prediction of severe COVID-19: A machine learning approach based on UK Biobank data
KCY Wong et al, MEDRXIV, September 22, 2020

COVID-19 likely spreading from people to animals—and vice versa
CIDRAP, September 18, 2020

Three new studies suggest that high proportions of cats and dogs may have acquired COVID-19 from their owners and that the virus jumped back and forth between humans and minks on farms in the Netherlands.

WHO Digital Health Guidelines: a milestone for global health
A Labrique et al, NPJ Digital Medicine, September 18, 2020

In 2019, the World Health Organization (WHO) released the first-ever evidence-based guidelines for digital health. The guideline provides nine recommendations on select digital health interventions that involve the use of a mobile phone or device.

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery
CA Dester et al, NPJ Digital Medicine, September 21, 2020

The approach proposed in this paper relies on machine learning-based algorithms to derive clinical score estimates from wearable sensor data collected during functional motor tasks. Sensor-based score estimates showed strong agreement with those generated by clinicians.

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection
F Li et al, NPJ Digital Medicine, September 22, 2020

By 2040, ~100 million people will have glaucoma. To date, there are a lack of high-efficiency glaucoma diagnostic tools based on visual fields (VFs). Herein, we develop and evaluate the performance of ‘iGlaucoma’, a smartphone application-based deep learning system (DLS) in detecting glaucomatous VF changes.

Efficacy of Smartphone Applications for Smoking Cessation A Randomized Clinical Trial
JB Bricker et al, JAMA Internal Medicine, September 21, 2020

In double-blind, individually randomized clinical trial of 2415 adult smokers with a 12-month follow-up and high retention, participants assigned to the smartphone application based on acceptance commitment therapy had 1.49 times higher odds of quitting smoking compared with the participants assigned to application based on US clinical practice guidelines.

STrengthening the Reporting Of Pharmacogenetic Studies: Development of the STROPS guideline.
Chaplin Marty et al. PLoS medicine 2020 Sep 17(9) e1003344

There is currently no guideline for the reporting of pharmacogenetic studies that has been developed using a widely accepted robust methodology. This project developed the STrengthening the Reporting Of Pharmacogenetic Studies (STROPS) guideline. We established a preliminary checklist of reporting items to be considered for inclusion in the guideline.


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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