Evidence map›Paper›PMID 40853480›Full record

ReviewHuman genetics2025

The emerging sequence grammar of 3D genome organisation.

Liezel Tamon, James Ashford, Matthew Nicholls, Marella F T R de Bruijn, Aleksandr B Sahakyan

Abstract readReview
In one paragraph

Review in Human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Liezel TamonMRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK. liezel.tamon@imm.ox.ac.uk.
James AshfordMRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK.
Matthew NichollsMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK.
Marella F T R de BruijnMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK.
Aleksandr B SahakyanMRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK. aleksandr.sahakyan@imm.ox.ac.uk.

Funding

UK Medical Research Council (MRC) MC_UU_12025
6 · The paper itself

Abstract

The multiplexed layers of regulatory processes and mechanisms within a cell are, to a degree, encoded in our genome. Unravelling the relationship between DNA sequence and molecular processes is crucial for understanding evolution, interpreting and predicting the consequences of genomic variation. Furthermore, understanding the extent to which DNA sequence contributes to the genome organisation can help reveal the aspects more influenced by other factors. Therefore, here we provide a succinct summary of the emerging genomic sequence code or "grammar" of genomic contact formation and 3D genome organisation. Drawing on different types of evidence from multiple disciplines, from large-scale genomic studies, biochemical in vitro assays, and computational analyses utilising machine learning and other modelling techniques, we aim to inform future research on the present associations between 3D genome organisation and sequence.

Indexed as

GenomeGenome, HumanGenomicsDNAHumansMachine LearningDNA

Identifiers

PMID40853480
PMCPMC12476417

What OpenQuestion holds

Textmetadata
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.