Clinical application of pharmacogenetics.
By B. Spear, M. Heath‐Chiozzi, J. Huff. Trends in Molecular Medicine, 2001
612 citations recorded by the source corpus.
Subfields: Clinical Biochemistry, Pediatrics, Perinatology and Child Health, Pharmacology
View Paper: https://www.semanticscholar.org/paper/cde85516bcc9109648ecee4b950095170f8e428c
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In Pediatrics, Perinatology and Child Health
In Pharmacology
Citations in the corpus
- Pharmacogenomics of Drug Metabolizing Enzymes and Transporters: Relevance to Precision Medicine (2016, background): “For example, an average of 38%, 40%, 43%, 50%, and 75% of patients who have depression, asthma, diabetes, arthritis, and cancer, respectively, show no response to initial treatments [11].”
- Machine learning and genomics: precision medicine versus patient privacy (2018, background): “nt, can be striking. Even the most prescribed drugs for the most common conditions have very limited efficacy [1]; however, this can be be explained in great part by genomic differences between patients [2]. There is a lot of appeal, therefore, for data analysis solutions that allow us to exploit genom”
- Personalized Prescription for Comorbidity (2018, background): “As reported from the literature, 75% patients on average take ineffective cancer drugs and 70% patients take ineffective Alzheimer’s drugs [2].”
- Pharmacometabonomic identification of a significant host-microbiome metabolic interaction affecting human drug metabolism (2009, neutral): “ronidatedtoproduceacetaminophenglucuronide(3).”