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Hot Topics of the Day|PHGKB
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02/05/2023

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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Use of incorrect and correct methods to account for age in studies on epigenetic accelerated aging: implications and recommendations for best practices.
Nancy Krieger et al. American journal of epidemiology 2023 2

Motivated by our conduct of a literature review on social exposures and accelerated aging as measured by a growing number of epigenetic “clocks” (which estimate age via DNA methylation patterns (DNAm)), we report on three different approaches – 1 incorrect and 2 correct – in the epidemiologic literature on treatment of age in these and other studies using other common exposures (i.e., body mass index and alcohol consumption).

Unlocking life-threatening COVID-19 through two types of inborn errors of type I IFNs.
Jean-Laurent Casanova et al. The Journal of clinical investigation 2023 1 (3)

Since 2003, rare inborn errors of human type I IFN immunity have been discovered, each underlying a few severe viral illnesses. Autoantibodies neutralizing type I IFNs due to rare inborn errors of autoimmune regulator (AIRE)–driven T cell tolerance were discovered in 2006, but not initially linked to any viral disease. These two lines of clinical investigation converged in 2020, with the discovery that inherited and/or autoimmune deficiencies of type I IFN immunity accounted for approximately 15%–20% of cases of critical COVID-19 pneumonia in unvaccinated individuals.

Integration of artificial intelligence in lung cancer: Rise of the machine.
Colton Ladbury et al. Cell reports. Medicine 2023 2 100933

In lung cancer, several data points over a patient’s diagnostic and treatment course are relevant to optimizing outcomes in the form of precision medicine, and artificial intelligence (AI) provides the opportunity to use available data from molecular information to radiomics, in combination with patient and tumor characteristics, to help clinicians provide individualized care. In doing so, AI can help create models to identify cancer early in diagnosis and deliver tailored therapy on the basis of available information,

How Clinicians Conceptualize “Actionability” in Genomic Screening
K Owens et al, J Per Med, February 4, 2023

This research explores the social dynamics shaping the integration of “actionable” genomic data into primary care settings. Based on semi-structured interviews with 35 genetics experts and primary care providers, we find that clinicians vary in how they define and operationalize “actionable” information. There are two main sources of disagreement. First, clinicians differ on the levels and types of evidence required for a result to be actionable, such as when we can be confident that genomic data provides accurate information. Second, there are disagreements about the clinical actions that must be available so that patients can benefit from that information.


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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