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Last Posted: Feb 06, 2023
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Practical Considerations for Reinterpretation of Individual Genetic Variants
PS Applebaum et al, Genetics in Medicine, February 6, 2023

With the growing use of genetic testing in medicine, the question of when genetic findings should be reinterpreted in light of new data has become inescapable. The generation of population and disease-specific data, development of computational tools, and new understandings of the relationship of specific genes to disorders can all trigger changes in variant classification that may have important implications for patients and the clinicians caring for them. This is a particular concern for patients from groups underrepresented in current reference datasets, since they have higher rates of uncertain findings.

Advancing Genomic Medicine in Africa: Work in Progress
J Osei et al, CDC Blog Post, January 9, 2023 Brand

Continued progress in genomic medicine to improve public health in Africa will require local-level capacity, expertise, and partnerships to conduct research and to assure the safe and equitable implementation of the field’s initiatives. Broad support from all interested parties including national and international governing authorities is crucial to guarantee the long-term sustainability of GM initiatives on the continent.

Returning integrated genomic risk and clinical recommendations: the eMERGE study
JE Linder et al, Genetics in Medicine, January 8, 2023

To enable integrated genetic risk assessment, the eMERGE (electronic MEdical Records and GEnomics) network is enrolling 25,000 diverse individuals in a prospective cohort study across 10 sites. The network developed methods to return cross-ancestry polygenic risk scores (PRS), monogenic risks, family history, and clinical risk assessments via a Genome Informed Risk Assessment (GIRA) report

RNA Sequencing as a Diagnostic Tool.
Ketkar Shamika et al. JAMA 2022 12

RNA sequencing (RNA-seq) is a new tool in the genetic diagnostic laboratory made possible by the advent of low-cost, high-throughput, next-generation sequencing technology. Historically, RNA studies were limited to gene expression using microarray technology for the detection of gene rearrangements and quantification of gene expression for predefined genes. RNA-seq allows detection of qualitative and quantitative changes in RNA expression across the genome in clinical samples and is increasingly being used as an adjunct to diagnostic exome sequencing and whole-genome sequencing.

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.