Evidence map›Paper›PMID 24311363›Full record

ArticleBioEssays : news and reviews in molecular, cellular and developmental biology2014

Functional interpretation of non-coding sequence variation: concepts and challenges.

Dirk S Paul, Nicole Soranzo, Stephan Beck

Abstract read
In one paragraph

Article in BioEssays : news and reviews in molecular, cellular and developmental biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. AlphaGenome-enabled analysis of non-coding regulatory variants underlyingbioRxiv : the preprint server for biology · 2026
    Article
  6. Review
  7. Complex Sex Determination in the Grey MulletAnimals : an open access journal from MDPI · 2025
    Article
  8. Review
  9. Diversification and Functional Evolution of HOX Proteins.Frontiers in cell and developmental biology · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Genome editing: the road of CRISPR/Cas9 from bench to clinic.Experimental & molecular medicine · 2016
    Review
  19. Article
  20. 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.

Dirk S PaulUCL Cancer Institute, University College London, London, United Kingdom.
Nicole Soranzo
Stephan Beck

Funding

British Heart Foundation RG/08/014/24067Medical Research Council MR/L003120/1
6 · The paper itself

Abstract

Understanding the functional mechanisms underlying genetic signals associated with complex traits and common diseases, such as cancer, diabetes and Alzheimer's disease, is a formidable challenge. Many genetic signals discovered through genome-wide association studies map to non-protein coding sequences, where their molecular consequences are difficult to evaluate. This article summarizes concepts for the systematic interpretation of non-coding genetic signals using genome annotation data sets in different cellular systems. We outline strategies for the global analysis of multiple association intervals and the in-depth molecular investigation of individual intervals. We highlight experimental techniques to validate candidate (potential causal) regulatory variants, with a focus on novel genome-editing techniques including CRISPR/Cas9. These approaches are also applicable to low-frequency and rare variants, which have become increasingly important in genomic studies of complex traits and diseases. There is a pressing need to translate genetic signals into biological mechanisms, leading to prognostic, diagnostic and therapeutic advances.

Indexed as

Computational BiologyGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumanschromatincomplex traitsgene regulationgenome editingGWASregulatory variants

Identifiers

PMID24311363
PMCPMC3992842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.