Evidence map›Paper›PMID 40614726›Full record

ArticleCell genomics2025

Scalable screening of ternary-code DNA methylation dynamics associated with human traits.

David C Goldberg, Cameron Cloud, Sol Moe Lee, Bret Barnes, Steven Gruber, Elliot Kim, Anita Pottekat, Maximillian S Westphal, Luana McAuliffe, Elisa Majounie and 10 more

Abstract read
In one paragraph

Article in Cell genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. slideimp: efficient imputation of DNA methylation data.Bioinformatics (Oxford, England) · 2026
    Article
  4. Smoking drives an epigenetic memory of aberrant hematopoiesis.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

David C GoldbergCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Cameron CloudCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Sol Moe LeeCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Bret BarnesIllumina, Inc., San Diego, CA 92122, USA.
Steven GruberIllumina, Inc., San Diego, CA 92122, USA.
Elliot KimCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Anita PottekatIllumina, Inc., San Diego, CA 92122, USA.
Maximillian S WestphalIllumina, Inc., San Diego, CA 92122, USA.
Luana McAuliffeIllumina, Inc., San Diego, CA 92122, USA.
Elisa MajounieIllumina, Inc., San Diego, CA 92122, USA.
Manesh Kalayil ManianIllumina, Inc., San Diego, CA 92122, USA.
Qingdi ZhuIllumina, Inc., San Diego, CA 92122, USA.
Christine TranIllumina, Inc., San Diego, CA 92122, USA.
Mark HansenIllumina, Inc., San Diego, CA 92122, USA.
Jelena StojakovicIllumina, Inc., San Diego, CA 92122, USA.
Jared B ParkerDepartment of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Rahul M KohliDepartment of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Rishi PorechaIllumina, Inc., San Diego, CA 92122, USA.
Nicole RenkeIllumina, Inc., San Diego, CA 92122, USA.
Wanding ZhouCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: wanding.zhou@pennmedicine.upenn.edu.

Funding

Ultra low-input epigenetic sequencing with combined enzymatic and long-read technologiesR01HG010646 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI Gang Fang, Rahul Manu Kohli · 2019 to 2026
$3.9M
Decoding Single-cell DNA Methylomes for Epigenetic Cell IdentityR35GM146978 · NIGMS · CHILDREN'S HOSP OF PHILADELPHIA · PI Wanding Zhou · 2022 to 2026
$2.2M
NHGRI NIH HHS R01 HG010646NIGMS NIH HHS R35 GM146978
6 · The paper itself

Abstract

Epigenome-wide association studies (EWASs) are transforming our understanding of the interplay between epigenetics and complex human traits. We introduce the methylation screening array (MSA) to enable scalable and quantitative screening of trait-associated DNA cytosine modifications in large human populations. The MSA integrates EWASs and cell-type-linked methylation signatures, covering diverse traits and diseases. Using the MSA to profile the ternary-code DNA methylations-dissecting 5-methylcytosine (5mC), 5-hydroxymethylcytosine (5hmC), and unmodified cytosine-revealed a previously unappreciated role of 5hmC in mediating human trait associations and epigenetic clocks. We demonstrated that 5hmCs complement 5mCs in defining epigenetic cell identities. In-depth analyses highlighted the cell-type context of EWAS and genome-wide association study (GWAS) hits. Targeting aging, we uncovered shared and tissue-specific 5hmC aging dynamics and tissue-specific rates of mitotic hyper- and hypomethylation. These findings chart a landscape of the complex interplay of the two forms of cytosine modifications in diverse human tissues and their roles in health and disease.

Indexed as

DNA Methylation5-MethylcytosineAgingCytosineEpigenesis, GeneticEpigenomeGenome-Wide Association StudyHumans5-hydroxymethylcytosine5-MethylcytosineCytosine5-hydroxymethylationDNA methylationepigenetic clockepigeneticsepigenome-wide association studyInfinium array

Identifiers

PMID40614726
PMCPMC12534708

What OpenQuestion holds

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Registered trials

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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.