Asthma
What's New
Last Posted: Jun 20, 2024
- A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk.
Bradley Jermy et al. Nat Commun 2024 15(1) 5007 - Machine Learning-Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review.
Arif Budiarto et al. JMIR AI 2024 2e46717 - The potential of virtual triage AI to improve early detection, care acuity alignment, and emergent care referral of life-threatening conditions.
George A Gellert et al. Front Public Health 2024 121362246 - Genomic analysis of severe COVID-19 considering or not asthma comorbidity: GWAS insights from the BQC19 cohort.
Omayma Amri et al. BMC Genomics 2024 25(1) 482 - Using electronic health records to identify asthma-related acute care encounters.
Michelle L Stransky et al. Acad Pediatr 2024 - Genetics of chronic respiratory disease.
Ian Sayers et al. Nat Rev Genet 2024 3 - Multivariate analysis and data mining help predict asthma exacerbations.
Stefan Mihaicuta et al. J Asthma 2023 1-16 - The infant gut virome is associated with preschool asthma risk independently of bacteria
CL Rodriguez et al, Nature Medicine, December 15, 2023 - Cord blood DNA methylation signatures associated with preeclampsia are enriched for cardiovascular pathways: insights from the VDAART trial.
Hanna M Knihtilä et al. EBioMedicine 2023 11 104890 - Return of Participants' Incidental Genetic Research Findings: Experience from a Case-Control Study of Asthma in an American Indian Community.
Lyle G Best et al. J Pers Med 2023 13(9)
More
About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
Content Summary
Common HLBS Health Categories
Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch 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.
- Page last reviewed:Feb 1, 2024
- Content source: