Evidence map›Paper›PMID 22912647›Full record

ArticleFrontiers in genetics2012

Liver expression quantitative trait loci: a foundation for pharmacogenomic research.

Dylan M Glubb, Neepa Dholakia, Federico Innocenti

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Genomics in medicine: A new era in medicine.World journal of methodology · 2021
    Article
  3. Article
  4. Article
  5. The Promises of Quantitative Proteomics in Precision Medicine.Journal of pharmaceutical sciences · 2017
    Article
  6. Article
  7. Implications of genome-wide association studies in cancer therapeutics.British journal of clinical pharmacology · 2013
    Review
  8. 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 at 1 institution in 1 country.

Dylan M GlubbInstitute for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill Chapel Hill, NC, USA.
Neepa Dholakia
Federico Innocenti
University of North Carolina at Chapel Hill · US

Funding

Genome-Wide molecular epidemiology of treatment outcome and cancer riskK07CA140390 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI INNOCENTI, FEDERICO · 2009 to 2013
$648k
NCI NIH HHS K07 CA140390
6 · The paper itself

Abstract

Expression quantitative trait loci (eQTL) analysis can provide insights into the genetic regulation of gene expression at a genomic level and this information is proving extremely useful in many different areas of research. As a consequence of the role of the liver in drug metabolism and disposition, the study of eQTLs in primary human liver tissue could provide a foundation for pharmacogenomics. Thus far, four genome-wide eQTL studies have been performed using human livers. Many liver eQTLs have been found to be reproducible and a proportion of these may be specific to the liver. Already these data have been used to interpret and inform clinic genome-wide association studies, providing potential mechanistic evidence for clinical associations and identifying genes which may impact clinical phenotypes. However, the utility of liver eQTL data has not yet been fully explored or realized in pharmacogenomics. As further liver eQTL research is undertaken, the genetic regulation of gene expression will become much better characterized and this knowledge will create a rational basis for the prospective pharmacogenomic study of many drugs.

Indexed as

ADME genesclinical pharmacogenomicsexpression quantitative trait lociGWASliver

Identifiers

PMID22912647
PMCPMC3418580
OpenAlexW2132813001

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.