Evidence map›Paper›PMID 30553552›Full record

ReviewTrends in genetics : TIG2019

Studying Transcriptional Enhancers: The Founder Fallacy, Validation Creep, and Other Biases.

Marc S Halfon

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–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

42 citing papers in PubMed.

  1. UnlockingNAR genomics and bioinformatics · 2026
    Article
  2. Pleiotropic effects of cis-regulatory mutations.Nature reviews. Genetics · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Enhancers associated with unstable RNAs are rare in plants.bioRxiv : the preprint server for biology · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Characterisation of the role and regulation ofFrontiers in cell and developmental biology · 2023
    Article
  18. Article
  19. A synthetic synthesis to explore animal evolution and development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  20. Review
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.

Marc S HalfonDepartment of Biochemistry, University at Buffalo-State University of New York, Buffalo, NY, USA; NY State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, USA; Department of Biological Sciences, University at Buffalo-State University of New York, Buffalo, NY, USA; Department of Biomedical Informatics, University at Buffalo-State University of New York, Buffalo, NY, USA; Department of Molecular and Cellular Biology and Program in Cancer Genetics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA. Electronic address: mshalfon@buffalo.edu.

Funding

REDfly: The regulatory sequence resource for Drosophila and other insectsR01GM114067 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI HALFON, MARC S · 2016 to 2019
$1.2M
NIGMS NIH HHS R01 GM114067
6 · The paper itself

Abstract

Transcriptional enhancers play a major role in regulating metazoan gene expression. Recent developments in genomics and next-generation sequencing have accelerated and revitalized the study of this important class of sequence elements. Increased interest and attention, however, has also led to troubling trends in the enhancer literature. In this Opinion, I describe some of these issues and show how they arise from shifting and nonuniform enhancer definitions, and genome-era biases. I discuss how they can lead to interpretative errors and an unduly narrow focus on certain aspects of enhancer biology to the potential exclusion of others.

Indexed as

Enhancer Elements, GeneticGenomicsTranscription, GeneticAnimalsComputational BiologyHigh-Throughput Nucleotide SequencingHumansbiascis-regulatory moduleenhancergenomic assaytranscription

Identifiers

PMID30553552
PMCPMC6338480

What OpenQuestion holds

Textmetadata
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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.