Evidence map›Paper›PMID 25703229›Full record

ReviewGenomics, proteomics & bioinformatics2015

Web resources for pharmacogenomics.

Guoqing Zhang, Yunsheng Zhang, Yunchao Ling, Jia Jia

Open access · goldAbstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Unlocking Performance: Pharmacogenomic Insights for Athletes.Sports medicine international open · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Frontiers in pharmacology · 2019
    Review
  9. Integrating pharmacogenetic testing into primary care.Expert review of precision medicine and drug development · 2017
    Article
  10. On bioinformatic resources.Genomics, proteomics & bioinformatics · 2015
    Article
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

4 authors at 1 institution in 1 country.

Guoqing ZhangShanghai Center for Bioinformation Technology, Shanghai 201203, China. Electronic address: gqzhang@scbit.org.
Yunsheng ZhangShanghai Center for Bioinformation Technology, Shanghai 201203, China.
Yunchao LingShanghai Center for Bioinformation Technology, Shanghai 201203, China.
Jia JiaShanghai Center for Bioinformation Technology, Shanghai 201203, China.
Shanghai Center For Bioinformation Technology · CN

Funding

Alcohol Consumption and Risk of Rheumatoid Arthritis in WomenR03AA020100 · NIAAA · BRIGHAM AND WOMEN'S HOSPITAL · PI LU, BING · 2010 to 2011
$175k
NIAAA NIH HHS R03 AA020100
6 · The paper itself

Abstract

Pharmacogenomics is the study of the impact of genetic variations or genotypes of individuals on their drug response or drug metabolism. Compared to traditional genomics research, pharmacogenomic research is more closely related to clinical practice. Pharmacogenomic discoveries may effectively assist clinicians and healthcare providers in determining the right drugs and proper dose for each patient, which can help avoid side effects or adverse reactions, and improve the drug therapy. Currently, pharmacogenomic approaches have proven their utility when it comes to the use of cardiovascular drugs, antineoplastic drugs, aromatase inhibitors, and agents used for infectious diseases. The rapid innovation in sequencing technology and genome-wide association studies has led to the development of numerous data resources and dramatically changed the landscape of pharmacogenomic research. Here we describe some of these web resources along with their names, web links, main contents, and our ratings.

Indexed as

Databases, GeneticDatabases, PharmaceuticalInternetPharmacogeneticsHumansAdverse reactionDrug responsePharmacogeneticsPharmacogenomics

Identifiers

PMID25703229
PMCPMC4411480
OpenAlexW2016777992

What OpenQuestion holds

Textmetadata
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.