Evidence map›Paper›PMID 41980926›Full record

ArticleNature communications2026

The genetic basis for DNA methylation variation across tissues and development.

Jonathan Rosenski, Ofra Sabag, Eitan Marcus, Netanel Loyfer, Yuval Dor, Howard Cedar, Tommy Kaplan

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors.

Jonathan Rosenski *School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Ofra Sabag *Dept. of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Eitan MarcusDept. of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Netanel LoyferSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Yuval DorDept. of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID http://orcid.org/0000-0003-2456-2289
Howard CedarDept. of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel. cedar@mail.huji.ac.il.ORCID http://orcid.org/0000-0001-6472-9640
Tommy KaplanSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel. tommy@cs.huji.ac.il.ORCID http://orcid.org/0000-0002-1892-5461

Funding

Israel Science Foundation (ISF) 1250/18Israel Science Foundation (ISF) 259/23
6 · The paper itself

Abstract

The mechanisms by which genetic variation shapes the epigenome across cell types and developmental stages have remained elusive. Here, we define a unifying developmental framework for DNA methylation programming, grounded in genome-wide methylation and genetic variation data from both mouse and human. In mice, we identify thousands of differentially methylated regions (DMRs) linked to sequence polymorphisms that disrupt transcription factor binding. These DMRs are programmed either during implantation or later in organogenesis, revealing two distinct periods of epigenetic regulation. Extending this logic to humans, we analyze our atlas of over 200 WGBS samples from 39 purified cell types and map 33,574 regions where common SNPs control allele-specific methylation. These include both early-established and cell-type-specific loci, many of which colocalize with eQTLs, enhancers, silencers, and disease-associated variants. Our results uncover a widespread mechanism by which genetic variation influences the regulatory landscape, linking sequence, methylation, and transcription across tissues. This cross-species atlas of sequence-dependent methylation not only clarifies the logic and timing of epigenetic programming, but also provides a foundational resource for deciphering non-coding variants in development, complex disease, and regenerative medicine.

Indexed as

DNA MethylationEpigenesis, GeneticAnimalsGene Expression Regulation, DevelopmentalGenetic VariationHumansMiceOrgan SpecificityPolymorphism, Single NucleotideQuantitative Trait LociTranscription FactorsTranscription Factors

Identifiers

PMID41980926
PMCPMC13254082

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.