A5048219454- Pharmacogenetics and Drug Metabolism
- Pharmaceutical studies and practices
- Genomics and Rare Diseases
- Biomedical Text Mining and Ontologies
- Drug-Induced Adverse Reactions
- CRISPR and Genetic Engineering
- Intramuscular injections and effects
- Nutrition, Genetics, and Disease
- Blood disorders and treatments
- Autoimmune Bullous Skin Diseases
- Heart Failure Treatment and Management
- Drug Transport and Resistance Mechanisms
- Antibiotics Pharmacokinetics and Efficacy
- Race, Genetics, and Society
- Bioinformatics and Genomic Networks
- Animal Genetics and Reproduction
- Topic Modeling
- Muscle Physiology and Disorders
- Pneumocystis jirovecii pneumonia detection and treatment
- Pharmacovigilance and Adverse Drug Reactions
- Platelet Disorders and Treatments
- Pharmacological Effects and Toxicity Studies
- Health Systems, Economic Evaluations, Quality of Life
- Statistical Methods in Clinical Trials
- Viral Infectious Diseases and Gene Expression in Insects
Stanford University
2018-2024
Data Sciences International (United States)
2018-2019
Stanford Medicine
2019
Roslin Institute
2014
Biotechnology and Biological Sciences Research Council
2014
University of Edinburgh
2014
Clinical annotations are one of the most popular resources available on Pharmacogenomics Knowledgebase (PharmGKB). Each clinical annotation summarizes association between variant-drug pairs, shows relevant findings from curated literature, and is assigned a level evidence (LOE) to indicate strength support for that association. Evidence pharmacogenomic literature into PharmGKB as variant annotations, which can be used create new or added existing annotations. This means same worked by...
Opioids are mainly used to treat both acute and chronic pain. Several opioids metabolized some extent by CYP2D6 (codeine, tramadol, hydrocodone, oxycodone, methadone). Polymorphisms in have been studied for an association with the clinical effect safety of these drugs. Other genes that their opioid or adverse events include OPRM1 (mu receptor) COMT (catechol‐O‐methyltransferase). This guideline updates expands 2014 Clinical Pharmacogenetics Implementation Consortium (CPIC) genotype codeine...
Genome editing tools enable efficient and accurate genome manipulation. An enhanced ability to modify the genomes of livestock species could be utilized improve disease resistance, productivity or breeding capability as well generation new biomedical models. To date, with respect direct injection editor mRNA into zygotes, this technology has been limited pigs edited genomes. capture far-reaching applications gene-editing, from modelling agricultural improvement, must easily applied a number...
Phenytoin is an antiepileptic drug with a narrow therapeutic index and large interpatient pharmacokinetic variability, partly due to genetic variation in CYP2C9. Furthermore, the variant allele HLA-B*15:02 associated increased risk of Stevens-Johnson syndrome toxic epidermal necrolysis response phenytoin treatment. We summarize evidence from published literature supporting these associations provide recommendations for use based on CYP2C9 and/or HLA-B genotypes (updates cpicpgx.org).
The varying frequencies of pharmacogenetic alleles among populations have important implications for the impact these in different populations. Current population grouping methods to communicate patterns are insufficient as they inconsistent and fail reflect global distribution genetic variability. To facilitate standardize reporting variability allele frequencies, we present seven geographically defined groups: American, Central/South Asian, East European, Near Eastern, Oceanian,...
Aminoglycosides are widely used antibiotics with notable side effects, such as nephrotoxicity, vestibulotoxicity, and sensorineural hearing loss (cochleotoxicity). MT‐RNR1 is a gene that encodes the 12s rRNA subunit mitochondrial homologue of prokaryotic 16s rRNA. Some variants (i.e., m.1095T>C; m.1494C>T; m.1555A>G) more closely resemble bacterial result in increased risk aminoglycoside‐induced loss. Use aminoglycosides should be avoided individuals an variant associated unless...
Huddart, Rachel; Hicks, J. Kevin; Ramsey, Laura B.; Strawn, Jeffrey R.; Smith, D. Max; Bobonis Babilonia, Margarita; Altman, Russ Klein, Teri E.Author Information
The authors declared no competing interests for this work.
Departments of aBiomedical Data Sciences bBiomedical Engineering cGenetics, Stanford University, Stanford, California dMedical Home Development Group, Washington, District Columbia eWhole Genome Science Foundation, Silver Spring, Maryland, USA Correspondence to Teri E. Klein, PhD, Department Biomedical Sciences, University Medical Center, Shriram Center for Bioengineering and Chemical Engineering, 443 Via Ortega, Room 213, BioE Altman Lab MC: 4245, CA 94305, Tel: +1 650 725 0659; fax: 3863;...
Departments of aBiomedical Data Sciences bBiomedical Engineering cGenetics, Stanford University, Stanford, California dDivision Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Hospital, Kansas City, Missouri, USA Correspondence to Teri E. Klein, PhD, Department Biomedical Sciences, University Medical Center, Shriram Center for Bioengineering Chemical Engineering, 443 Via Ortega, Room 213, BioE Altman Lab MC: 4245, CA 94305, Tel: +1 650 725 0659; fax: 3863;...
Departments of aBiomedical Data Sciences bBiomedical Engineering cGenetics dMedicine, Stanford University, Stanford, California, USA Correspondence to Teri E. Klein, PhD, Department Biomedical Sciences, University Medical Center, Shriram Center for Bioengineering and Chemical Engineering, 443 Via Ortega, Room 213, BioE Altman Lab MC, 4245 CA 94305, Tel: +1 650 736 0156; fax: 725 3863; e-mail: [email protected] Received August 21, 2018 Accepted December 3,
Pharmacogenomics (PGx) is a key area of precision medicine, which already being implemented in some health systems and may help guide clinicians toward effective therapies for individual patients. Over the last 2 decades, Knowledgebase (PharmGKB) has built unique repository PGx knowledge, including annotations clinical guideline regulator‐approved drug labels addition to evidence‐based pathways scientific literature. All this knowledge freely accessible on PharmGKB website. In first series...
Miller, Elise; Norwood, Charles; Giles, Jason B.; Huddart, Rachel; Karnes, H.; Whirl-Carrillo, Michelle; Klein, Teri E. Author Information
Abstract The varying frequencies of pharmacogenetic alleles between populations have important implications for the impact these in different populations. Current population grouping methods to communicate patterns are insufficient as they inconsistent and fail reflect global distribution genetic variability. To facilitate standardize reporting variability allele frequencies, we present seven geographically-defined groups: American, Central/South Asian, East European, Near Eastern, Oceanian,...