Evidence map›Paper›PMID 35377406›Full record

ReviewBiology open2022

The importance of considering regulatory domains in genome-wide analyses - the nearest gene is often wrong!

Ellora Hui Zhen Chua, Samen Yasar, Nathan Harmston

Abstract readReview
In one paragraph

Review in Biology open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic determinants of antidepressant and antipsychotic drug response.European archives of psychiatry and clinical neuroscience · 2025
    Article
  4. Update on the genetics of allergic diseases.The Journal of allergy and clinical immunology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Ellora Hui Zhen ChuaScience Division, Yale-NUS College, Singapore 138527, Singapore.ORCID 0000-0002-5520-2254
Samen YasarScience Division, Yale-NUS College, Singapore 138527, Singapore.
Nathan HarmstonScience Division, Yale-NUS College, Singapore 138527, Singapore.ORCID 0000-0002-8589-2938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expression of a large number of genes is regulated by regulatory elements that are located far away from their promoters. Identifying which gene is the target of a specific regulatory element or is affected by a non-coding mutation is often accomplished by assigning these regions to the nearest gene in the genome. However, this heuristic ignores key features of genome organisation and gene regulation; in that the genome is partitioned into regulatory domains, which at some loci directly coincide with the span of topologically associated domains (TADs), and that genes are regulated by enhancers located throughout these regions, even across intervening genes. In this review, we examine the results from genome-wide studies using chromosome conformation capture technologies and from those dissecting individual gene regulatory domains, to highlight that the phenomenon of enhancer skipping is pervasive and affects multiple types of genes. We discuss how simply assigning a genomic region of interest to its nearest gene is problematic and often leads to incorrect predictions and highlight that where possible information on both the conservation and topological organisation of the genome should be used to generate better hypotheses. The article has an associated Future Leader to Watch interview.

Indexed as

GenomeGenome-Wide Association StudyGene Expression RegulationGenomicsPromoter Regions, GeneticChromatin structureEnhancersGene regulation

Identifiers

PMID35377406
PMCPMC9002814

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.