Evidence map›Paper›PMID 18852207›Full record

ReviewHuman molecular genetics2008

Pharmacogenomics: candidate gene identification, functional validation and mechanisms.

Liewei Wang, Richard M Weinshilboum

Abstract readReview
In one paragraph

Review in Human molecular genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Article
  4. Article
  5. Article
  6. Article
  7. Disease burden and the role of pharmacogenomics in African populations.Global health, epidemiology and genomics · 2017
    Review
  8. Article
  9. Review
  10. Whole genome sequencing in pharmacogenomics.Frontiers in pharmacology · 2015
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Maternal-fetal and neonatal pharmacogenomics: a review of current literature.Journal of perinatology : official journal of the California Perinatal Association · 2010
    Review
  20. 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

2 authors.

Liewei WangDivision of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics and Medicine, Mayo Medical School-Mayo Clinic, Rochester, MN 55905, USA.
Richard M Weinshilboum

Funding

PHARMACOGENETICS OF PHASE II DRUG METABOLIZING ENZYMESU01GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2000 to 2009
$15.7M
INHERITED VARIATIONS IN DRUG-METABOLIZING ENZYMESR01GM028157 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 1985 to 2019
$6.9M
SULFATE CONJUGATION AND DRUG METABOLISMR01GM035720 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 1986 to 2007
$2.3M
Pharmacogenomics of cytosine arabinoside (Ara-C) and acute myelogenous leukemiaR01CA132780 · NCI · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2008 to 2013
$1.6M
Pharmacogenomics and Mechanisms of Cytidine AnaloguesR01CA138461 · NCI · MAYO CLINIC ROCHESTER · PI WANG, LIEWEI · 2009 to 2013
$1.5M
Pharmacogenomics of a Cytidine Analogue, GemcitabineK22CA130828 · NCI · MAYO CLINIC ROCHESTER · PI WANG, LIEWEI · 2008 to 2010
$492k
NCI NIH HHS K22 CA130828NCI NIH HHS R01 CA132780NCI NIH HHS R01 CA138461NIGMS NIH HHS R01 GM028157NIGMS NIH HHS R01 GM035720NIGMS NIH HHS R01 GM28157NIGMS NIH HHS R01 GM35720NIGMS NIH HHS U01 GM061388NIGMS NIH HHS U01 GM61388
6 · The paper itself

Abstract

Pharmacogenetics is the study of the role of inheritance in variation in drug response phenotypes. Those phenotypes can range from life-threatening adverse drugs reactions at one end of the spectrum to equally serious lack of therapeutic efficacy at the other. Over the past half century, pharmacogenetics has--like all of medical genetics--evolved from a discipline with a focus on monogenetic traits to become pharmacogenomics, with a genome-wide perspective. This article will briefly review recent examples of the application of genome-wide techniques to clinical pharmacogenomic studies and to pharmacogenomic model systems that vary from cell line-based model systems to yeast gene deletion libraries. Functional validation of candidate genes and the use of genome-wide techniques to gain mechanistic insights will be emphasized for the establishment of biological plausibility and as essential follow-up steps after the identification of candidate genes.

Indexed as

PharmacogeneticsGene Expression ProfilingGene TargetingGenetic VariationGenome, HumanHumans

Identifiers

PMID18852207
PMCPMC2574004

What OpenQuestion holds

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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.