The demand for genomic services has outpaced the capacity of the health system, thus creating opportunities for nurse practitioners (NPs) to develop genomic literacy and expand the genomics-informed services that NPs can offer to optimize safe and equitable healthcare. The new model of NP regulation that aims to educate all NPs, based on a set of common entry-level competencies, has the potential to accelerate the integration of genomics into education and practice. In this commentary, we explore opportunities within a new NP regulatory framework and highlight how NPs can strengthen Canadians' access to genomic technologies as clinicians, advocates, leaders, scholars and educators.
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| http://dx.doi.org/10.12927/cjnl.2024.27468 | DOI Listing |
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Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models.
Genet Med
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Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:
Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.
View Article and Find Full Text PDFEvaluation of resistance and molecular detection of resistance genes to wheat stripe rust of 82 wheat cultivars in Xinjiang, China.
Sci Rep
December 2024
Key Laboratory of the Pest Monitoring and Safety Control of Crops and Forests of the Xinjiang Uygur Autonomous Region, College of Agronomy, Xinjiang Agricultural University, Urumqi, 830052, China.
Wheat stripe rust is a fungal disease caused by Puccinia striiformis f. sp. tritici.
View Article and Find Full Text PDFChuanxiong Rhizoma regulates ferroptosis and the immune microenvironment in ischemic stroke through the JAK-STAT3 pathway.
Sci Rep
December 2024
Acupuncture and Moxibustion College, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, China.
Ferroptosis is linked to various pathological conditions; however, the specific targets and mechanisms through which traditional Chinese medicine influences ischemic stroke (IS)-induced ferroptosis remain poorly understood. In this study, data from the Gene Expression Omnibus and disease target databases (OMIM, GeneCards, DisGeNet, TTD, and DrugBank) were integrated with ferroptosis-related gene datasets. To identify key molecular targets of Chuanxiong Rhizoma (CX), drug ingredient databases, including PubChem and TCMBank, were employed to map CX-related targets (CX-DEGs-FRG and CX-IS-FRG).
View Article and Find Full Text PDFFAIR Data Cube, a FAIR data infrastructure for integrated multi-omics data analysis.
J Biomed Semantics
December 2024
Medical BioSciences Department, Radboud University Medical Center, Nijmegen, The Netherlands.
Motivation: We are witnessing an enormous growth in the amount of molecular profiling (-omics) data. The integration of multi-omics data is challenging. Moreover, human multi-omics data may be privacy-sensitive and can be misused to de-anonymize and (re-)identify individuals.
View Article and Find Full Text PDFDeciphering a profiling based on multiple post-translational modifications functionally associated regulatory patterns and therapeutic opportunities in human hepatocellular carcinoma.
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December 2024
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Background: Posttranslational modifications (PTMs) play critical roles in hepatocellular carcinoma (HCC). However, the locations of PTM-modified sites across protein secondary structures and regulatory patterns in HCC remain largely uncharacterized.
Methods: Total proteome and nine PTMs (phosphorylation, acetylation, crotonylation, ubiquitination, lactylation, N-glycosylation, succinylation, malonylation, and β-hydroxybutyrylation) in tumor sections and paired normal adjacent tissues derived from 18 HCC patients were systematically profiled by 4D-Label free proteomics analysis combined with PTM-based peptide enrichment.
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