ReviewGenome medicine2013
Pharmacogenomics of adverse drug reactions.
Review in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed, 101 citations in OpenAlex.
- Pharmacovigilance assessment of drug-induced aplastic anemia: analysis of the FDA adverse event reporting system.International journal of clinical pharmacy · 2025Article
- Pharmacogenomics and its Role in Cardiovascular Diseases: A Narrative Literature Review.Current cardiology reviews · 2025Review
- Hemophagocytic Lymphohistiocytosis Complicating a Case of Drug-Induced Liver Injury Precipitated by Cephalexin: A Rare Consequence of Commonly Prescribed Medications.Case reports in hepatology · 2025Article
- Unveiling novel genetic variants in 370 challenging medically relevant genes using the long read sequencing data of 41 samples from 19 global populations.Molecular genetics and genomics : MGG · 2024Article
- Structure-activity relationships andz interindividual variability of drug responses: pharmacogenomics with antimicrobial drugs as a paradigm.The Journal of international medical research · 2023Review
- An Immunological Perspective on the Mechanism of Drug Induced Liver Injury: Focused on Drugs for Treatment of Hepatocellular Carcinoma and Liver Transplantation.International journal of molecular sciences · 2023Review
- The Immunogenetics of Cutaneous Drug Reactions.Advances in experimental medicine and biology · 2022Article
- Genomewide Association Studies in Pharmacogenomics.Clinical pharmacology and therapeutics · 2021Review
- Idiosyncratic Drug-Induced Liver Injury: Mechanistic and Clinical Challenges.International journal of molecular sciences · 2021Review
- Microengineered systems with iPSC-derived cardiac and hepatic cells to evaluate drug adverse effects.Experimental biology and medicine (Maywood, N.J.) · 2021Review
- Predicting Drug-Induced Liver Injury Using Machine Learning on a Diverse Set of Predictors.Frontiers in pharmacology · 2021Article
- Genomic Association of Single Nucleotide Polymorphisms with Blood Pressure Response to Hydrochlorothiazide among South African Adults with Hypertension.Journal of personalized medicine · 2020Article
- Linking Pharmacogenomic Information on Drug Safety and Efficacy with Ethnic Minority Populations.Pharmaceutics · 2020Article
- Impact of Sampling Period on Population Pharmacokinetic Analysis of Antibiotics: Why do You Take Blood Samples Following the Fourth Dose?Pharmaceuticals (Basel, Switzerland) · 2020Article
- Microphysiological heart-liver body-on-a-chip system with a skin mimic for evaluating topical drug delivery.Lab on a chip · 2020Article
- Predictability of drug-induced liver injury by machine learning.Biology direct · 2020Article
- The Current Status of Genes and Genetic Testing in Emergency Medicine: A Narrative Review.Advanced journal of emergency medicine · 2020Review
- Association of Drug Metabolic Enzyme Genetic Polymorphisms and Adverse Drug Reactions in Patients Receiving Rifapentine and Isoniazid Therapy for Latent Tuberculosis.International journal of environmental research and public health · 2019Article
- Induced pluripotent stem cells for therapy personalization in pediatric patients: Focus on drug-induced adverse events.World journal of stem cells · 2019Review
- Towards precision medicine: interrogating the human genome to identify drug pathways associated with potentially functional, population-differentiated polymorphisms.The pharmacogenomics journal · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Considerable progress has been made in identifying genetic risk factors for idiosyncratic adverse drug reactions in the past 30 years. These reactions can affect various tissues and organs, including liver, skin, muscle and heart, in a drug-dependent manner. Using both candidate gene and genome-wide association studies, various genes that make contributions of varying extents to each of these forms of reactions have been identified. Many of the associations identified for reactions affecting the liver and skin involve human leukocyte antigen (HLA) genes and for reactions relating to the drugs abacavir and carbamazepine, HLA genotyping is now in routine use prior to drug prescription. Other HLA associations are not sufficiently specific for translation but are still of interest in relation to underlying mechanisms for the reactions. Progress on non-HLA genes affecting adverse drug reactions has been less, but some important associations, such as those of SLCO1B1 and statin myopathy, KCNE1 and drug-induced QT prolongation and NAT2 and isoniazid-induced liver injury, are considered. Future prospects for identification of additional genetic risk factors for the various adverse drug reactions are discussed.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.