Evidence map›Paper›PMID 18597885›Full record

ReviewTrends in genetics : TIG2008

Revealing the architecture of gene regulation: the promise of eQTL studies.

Yoav Gilad, Scott A Rifkin, Jonathan K Pritchard

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 304 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
304citing 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

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

  1. Pooled it
  2. The role ofEpigenetics · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

244 more citing papers are in PubMed but not listed here.

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.

Yoav GiladDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA. gilad@uchicago.edu
Scott A Rifkin
Jonathan K Pritchard

Funding

Natural Selection on Gene Regulation in HumansR01GM077959 · NIGMS · UNIVERSITY OF CHICAGO · PI GILAD, YOAV · 2006 to 2014
$2.9M
Linkage Disequilibrium Methods For Complex Trait MappingR01HG002772 · NHGRI · UNIVERSITY OF CHICAGO · PI PRITCHARD, JONATHAN K · 2003 to 2007
$1.7M
Effects of mutations on gene expression noise and cellular memoryF32GM080966 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI RIFKIN, SCOTT · 2007 to 2009
$112k
NHGRI NIH HHS HG002772NHGRI NIH HHS R01 HG002772NIGMS NIH HHS 5F32GM080966NIGMS NIH HHS F32 GM080966NIGMS NIH HHS GM077959NIGMS NIH HHS R01 GM077959
6 · The paper itself

Abstract

Expression quantitative trait loci (eQTL) mapping studies have become a widely used tool for identifying genetic variants that affect gene regulation. In these studies, expression levels are viewed as quantitative traits, and gene expression phenotypes are mapped to particular genomic loci by combining studies of variation in gene expression patterns with genome-wide genotyping. Results from recent eQTL mapping studies have revealed substantial heritable variation in gene expression within and between populations. In many cases, genetic factors that influence gene expression levels can be mapped to proximal (putatively cis) eQTLs and, less often, to distal (putatively trans) eQTLs. Beyond providing great insight into the biology of gene regulation, a combination of eQTL studies with results from traditional linkage or association studies of human disease may help predict a specific regulatory role for polymorphic sites previously associated with disease.

Indexed as

Gene Expression RegulationQuantitative Trait LociAnimalsChromosome MappingGenetic Complementation TestHumansModels, GeneticPhenotype

Identifiers

PMID18597885
PMCPMC2583071

What OpenQuestion holds

Textmetadata
LicenceTDM
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.