Evidence map›Paper›PMID 23188748›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine

Pharmacogenomics discovery and implementation in genome-wide association studies era.

Xiuqin Ni, Wei Zhang, R Stephanie Huang

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Pharmacometabolomics by NMR in Oncology: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  5. Article
  6. Article
  7. Frequency of Common VKORC1 Polymorphisms and Their Impact on Warfarin Dose Requirement in Pakistani Population.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

3 authors.

Xiuqin NiDepartment of Anatomy, Harbin Medical University-Daqing, Daqing, Heilongjiang Province, China.
Wei Zhang
R Stephanie Huang

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
Whole GenomeU01GM061393 · NIGMS · UNIVERSITY OF CHICAGO · PI DOLAN, MARY EILEEN · 2000 to 2014
$39.0M
TRANSLATIONAL RESEARCH UNIVERSITY OF CHICAGO: CLINICAL TRIALSUL1RR024999 · NCRR · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2007 to 2011
$25.3M
Variation in Hormone and xenobiotic metabolizing enzyme genes and breast cancerP50CA125183 · NCI · UNIVERSITY OF CHICAGO · PI COX, NANCY · 2006 to 2010
$11.3M
Genome-wide interrogation of genetic signatures for glucocorticoid sensitivityK08GM089941 · NIGMS · UNIVERSITY OF CHICAGO · PI HUANG, RONG STEPHANIE · 2010 to 2014
$498k
Epigenetic and Genetic Dissection of Drug ResponseR21HG006367 · NHGRI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DOLAN, MARY EILEEN, GODLEY, LUCY ANN · 2011 to 2012
$462k
Incorporation of microRNA expression in pharmacogenetic prediction modelsR21CA139278 · NCI · UNIVERSITY OF CHICAGO · PI DOLAN, MARY EILEEN, HUANG, RONG STEPHANIE · 2009 to 2010
$378k
NCI NIH HHS P30 CA014599NCI NIH HHS P30 CA14599NCI NIH HHS P50 CA125183NCI NIH HHS R21 CA139278NCRR NIH HHS UL1 RR024999NCRR NIH HHS UL1RR024999NHGRI NIH HHS R21 HG006367NIGMS NIH HHS K08 GM089941NIGMS NIH HHS U01 GM061393NIGMS NIH HHS U01GM61393
6 · The paper itself

Abstract

Clinical response to therapeutic treatments often varies among individual patients, ranging from beneficial effect to even fatal adverse reaction. Pharmacogenomics holds the promise of personalized medicine through elucidating genetic determinants responsible for pharmacological outcomes (e.g., cytotoxicities to anticancer drugs) and therefore guide the prescription decision prior to drug treatment. Besides traditional candidate gene-based approaches, technical advances have begun to allow application of whole-genome approaches to pharmacogenomic discovery. In particular, comprehensive understanding of human genetic variation provides the basis for applying GWAS (genome-wide association studies) in pharmacogenomic research to identify genomic loci associated with pharmacological phenotypes (e.g., individual dose requirement for warfarin). We therefore briefly reviewed the background for pharmacogenetic/pharmacogenomic research with statins and warfarin as examples for the GWAS discovery and their clinical implementation. In conclusion, with some challenges, whole-genome approaches such as GWAS have allowed unprecedented progress in identifying genetic variants associated with pharmacological phenotypes, as well as provided foundation for the next wave of pharmacogenomic discovery utilizing sequencing-based approaches. Furthermore, investigation of the complex interactions among genetic and epigenetic factors on the whole-genome scale will become the post-GWAS research focus for pharmacologic complex traits.

Indexed as

AnimalsChromosome MappingDrug DiscoveryGenome-Wide Association StudyHumansPharmacogeneticsPrecision Medicine

Identifiers

PMID23188748
PMCPMC3527666

What OpenQuestion holds

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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.