Evidence map›Paper›PMID 24734245›Full record

ReviewBioMed research international2014

Digging up the human genome: current progress in deciphering adverse drug reactions.

Shih-Chi Su, Wen-Hung Chung, Shuen-Iu Hung

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Shih-Chi SuDepartment of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, 199 Tung-Hwa North Road, Taipei 105, Taiwan.ORCID 0000-0002-4263-7654
Wen-Hung ChungDepartment of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, 199 Tung-Hwa North Road, Taipei 105, Taiwan ; College of Medicine, Chang Gung University, 259 Wen-Hua First Road, Taoyuan 333, Taiwan.
Shuen-Iu HungInstitute of Pharmacology, School of Medicine, Infection and Immunity Research Center, VYM Genome Research Center, National Yang-Ming University, No. 155, Section 2, Linong Street, Taipei 112, Taiwan.ORCID 0000-0001-6531-5538
Chang Gung Memorial Hospital · TWChang Gung University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse drug reactions (ADRs) are a major clinical problem. In addition to their clinical impact on human health, there is an enormous cost associated with ADRs in health care and pharmaceutical industry. Increasing studies revealed that genetic variants can determine the susceptibility of individuals to ADRs. The development of modern genomic technologies has led to a tremendous advancement of improving the drug safety and efficacy and minimizing the ADRs. This review will discuss the pharmacogenomic techniques used to unveil the determinants of ADRs and summarize the current progresses concerning the identification of biomarkers for ADRs, with a focus on genetic variants for genes encoding drug-metabolizing enzymes, drug-transporter proteins, and human leukocyte antigen (HLA). The knowledge gained from these cutting-edge findings will form the basis for better prediction and management for ADRs, ultimately making the medicine personalized.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsGenome, HumanBiological TransportBiomarkersGenetic VariationGenomicsHLA AntigensHumansPharmacogeneticsPhenotypeSequence Analysis, DNABiomarkersHLA Antigens

Identifiers

PMID24734245
PMCPMC3966344
OpenAlexW2007176607

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.