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Hot Topics of the Day|PHGKB
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01/17/2020

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

Is There A Doctor in The House? Physician-Mediated DTC Genetic Testing
K Stoll, the DNA Exchange, January 16, 2020

What does the movement towards a growing number of these types of DTC testing options mean for the field of medical genetics? Perhaps people will have greater access to genetic testing. But will the information received through these tests improve people’s health? Or will they lead to people receiving inaccurate, incomplete or misunderstood information?

Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study
JM Radin et al, Lancet Digital HEalth, January 16, 2020

Activity and physiological trackers are increasingly used in the USA and globally to monitor individual health. By accessing these data, it could be possible to improve real-time and geographically refined influenza surveillance. This information could be vital for outbreak response measures.

Molecular profiling for precision cancer therapies.
Malone Eoghan R et al. Genome medicine 2020 Jan (1) 8

We describe novel molecular characterization strategies beyond tumor DNA sequencing, such as transcriptomics, immunophenotyping, epigenetic profiling, and single-cell analyses. We also review current and potential applications of liquid biopsies to evaluate blood-based biomarkers.

An unsupervised learning approach to identify novel signatures of health and disease from multimodal data.
Shomorony Ilan et al. Genome medicine 2020 Jan (1) 7

We collected 1385 data features from diverse modalities, including metabolome, microbiome, genetics, and advanced imaging, from 1253 individuals and from a longitudinal validation cohort of 1083 individuals. We utilized a combination of unsupervised machine learning methods to identify multimodal biomarker signatures of health and disease risk.


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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