Evidence map›Paper›PMID 38669177›Full record

ArticleeLife2024

Imputation of 3D genome structure by genetic-epigenetic interaction modeling in mice.

Lauren Kuffler, Daniel A Skelly, Anne Czechanski, Haley J Fortin, Steven C Munger, Christopher L Baker, Laura G Reinholdt, Gregory W Carter

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Fifteen years of the Diversity Outbred mouse model: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  2. 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

8 authors.

Lauren KufflerThe Jackson Laboratory, Bar Harbor, United States.ORCID https://orcid.org/0000-0002-4991-2292
Daniel A SkellyThe Jackson Laboratory, Bar Harbor, United States.ORCID https://orcid.org/0000-0002-2329-2216
Anne CzechanskiThe Jackson Laboratory, Bar Harbor, United States.
Haley J FortinThe Jackson Laboratory, Bar Harbor, United States.ORCID https://orcid.org/0000-0003-4541-0874
Steven C MungerThe Jackson Laboratory, Bar Harbor, United States.
Christopher L BakerThe Jackson Laboratory, Bar Harbor, United States.ORCID https://orcid.org/0000-0001-6677-0356
Laura G ReinholdtThe Jackson Laboratory, Bar Harbor, United States.ORCID https://orcid.org/0000-0003-4054-4048
Gregory W CarterThe Jackson Laboratory, Bar Harbor, United States.ORCID https://orcid.org/0000-0002-2834-8186

Funding

Use for ResourceP40OD011102 · OD · JACKSON LABORATORY · PI Steven Carmen Munger, Stephen A Murray · 2012 to 2026
$15.0M
Cellular Systems Genetic Approaches to Understanding Regulatory VariationR35GM133724 · NIGMS · JACKSON LABORATORY · PI Christopher Lee Baker · 2019 to 2026
$3.1M
Methods and Tools to Analyze Genetic ComplexityR01GM115518 · NIGMS · JACKSON LABORATORY · PI CARTER, GREGORY W · 2016 to 2020
$2.1M
NIGMS NIH HHS R01 GM115518NIGMS NIH HHS R01GM115518NIGMS NIH HHS R35 GM133724NIGMS NIH HHS R35GM133724NIH HHS P40 OD011102NIH HHS P40OD011102
6 · The paper itself

Abstract

Gene expression is known to be affected by interactions between local genetic variation and DNA accessibility, with the latter organized into three-dimensional chromatin structures. Analyses of these interactions have previously been limited, obscuring their regulatory context, and the extent to which they occur throughout the genome. Here, we undertake a genome-scale analysis of these interactions in a genetically diverse population to systematically identify global genetic-epigenetic interaction, and reveal constraints imposed by chromatin structure. We establish the extent and structure of genotype-by-epigenotype interaction using embryonic stem cells derived from Diversity Outbred mice. This mouse population segregates millions of variants from eight inbred founders, enabling precision genetic mapping with extensive genotypic and phenotypic diversity. With 176 samples profiled for genotype, gene expression, and open chromatin, we used regression modeling to infer genetic-epigenetic interactions on a genome-wide scale. Our results demonstrate that statistical interactions between genetic variants and chromatin accessibility are common throughout the genome. We found that these interactions occur within the local area of the affected gene, and that this locality corresponds to topologically associated domains (TADs). The likelihood of interaction was most strongly defined by the three-dimensional (3D) domain structure rather than linear DNA sequence. We show that stable 3D genome structure is an effective tool to guide searches for regulatory elements and, conversely, that regulatory elements in genetically diverse populations provide a means to infer 3D genome structure. We confirmed this finding with CTCF ChIP-seq that revealed strain-specific binding in the inbred founder mice. In stem cells, open chromatin participating in the most significant regression models demonstrated an enrichment for developmental genes and the TAD-forming CTCF-binding complex, providing an opportunity for statistical inference of shifting TAD boundaries operating during early development. These findings provide evidence that genetic and epigenetic factors operate within the context of 3D chromatin structure.

Indexed as

ChromatinEpigenesis, GeneticGenomeAnimalsEmbryonic Stem CellsGenetic VariationMiceChromatinchromatin accessibilitycomputational biologyembryonic stem cellsgenetic interactiongeneticsgenomicsmousesystems biologytopologically associating domains

Identifiers

PMID38669177
PMCPMC11052574

What Socratic 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 Socratic graph.