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Last Posted: Nov 14, 2023
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Computational immunogenomic approaches to predict response to cancer immunotherapies.
Venkateswar Addala et al. Nat Rev Clin Oncol 2023 11

From the abstract: " Cancer immunogenomics is an emerging field that bridges genomics and immunology. The establishment of large-scale genomic collaborative efforts along with the development of new single-cell transcriptomic techniques and multi-omics approaches have enabled characterization of the mutational and transcriptional profiles of many cancer types and helped to identify clinically actionable alterations as well as predictive and prognostic biomarkers. Researchers have developed computational approaches and machine learning algorithms to accurately obtain clinically useful information from genomic and transcriptomic sequencing data. "

Multi-Omics for Health and Disease (Multi-Omics)
NIH, September 2023 Brand

From the website: "While single ‘omic analyses have produced valuable insights, recent studies have shown that integrative (or multi-omic) analysis approaches can improve the classification of disease into clinically relevant subgroups and potentially identify biomarkers of health or disease. Multi-omic analyses can also help define relationships among ‘omic data types to unravel biological networks regulating transitions from health to disease. This initiative is expected to produce consensus approaches, best practices, and standards that can be generalized across diseases and populations. "

From Mendel to multi-omics: shifting paradigms
TB Mersha, EJHG, July 20, 2023

Multi-omics analysis is an emerging approach that aims to better understand health and disease through the convergence of different omics studies (genomics, transcriptomics, proteomics, metabolomics, metagenomics, phenomics, exposomics). Although technical limitations related to the analysis of high-dimensional multi-omics datasets and use of fairly small samples have hindered our ability to conduct multi-omic research, emerging technology and computational tools have facilitated impactful multi-omic research.

Integrated multi-omics for rapid rare disease diagnosis on a national scale.
Sebastian Lunke et al. Nat Med 2023 6

Critically ill infants and children with rare diseases need equitable access to rapid and accurate diagnosis to direct clinical management. Over 2 years, the Acute Care Genomics program provided whole-genome sequencing to 290 families whose critically ill infants and children were admitted to hospitals throughout Australia with suspected genetic conditions. The average time to result was 2.9?d and diagnostic yield was 47%.

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.