Evidence map›Paper›PMID 23737752›Full record

ReviewPLoS genetics2013

Global properties and functional complexity of human gene regulatory variation.

Daniel J Gaffney

Abstract readReview
In one paragraph

Review in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Connecting intermediate phenotypes to disease using multi-omics in heart failure.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025
    Article
  5. Connecting intermediate phenotypes to disease using multi-omics in heart failure.medRxiv : the preprint server for health sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Integrative analysis of gene expression, DNA methylation, physiological traits, and genetic variation in human skeletal muscle.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  13. Association betweenBioscience reports · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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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

1 author.

Daniel J GaffneyWellcome Trust Sanger Institute, Cambridge, United Kingdom. dg13@sanger.ac.uk

Funding

Wellcome TrustWellcome Trust 098051
6 · The paper itself

Abstract

Identification and functional interpretation of gene regulatory variants is a major focus of modern genomics. The application of genetic mapping to molecular and cellular traits has enabled the detection of regulatory variation on genome-wide scales and revealed an enormous diversity of regulatory architecture in humans and other species. In this review I summarise the insights gained and questions raised by a decade of genetic mapping of gene expression variation. I discuss recent extensions of this approach using alternative molecular phenotypes that have revealed some of the biological mechanisms that drive gene expression variation between individuals. Finally, I highlight outstanding problems and future directions for development.

Indexed as

Gene Expression RegulationGene Regulatory NetworksGenetic VariationChromosome MappingGenome, HumanGenome-Wide Association StudyHumansPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID23737752
PMCPMC3667745

What OpenQuestion holds

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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.