Evidence map›Paper›PMID 36617464›Full record

ArticleBriefings in bioinformatics2023

Comparative epigenome analysis using Infinium DNA methylation BeadChips.

Wubin Ding, Diljeet Kaur, Steve Horvath, Wanding Zhou

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  12. Estimating population structure using epigenome-wide methylation data.medRxiv : the preprint server for health sciences · 2025
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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

4 authors.

Wubin DingCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, PA, 19104, USA.
Diljeet KaurCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, PA, 19104, USA.
Steve HorvathDept. of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Wanding ZhouCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, PA, 19104, USA.ORCID 0000-0001-9126-1932

Funding

Decoding Single-cell DNA Methylomes for Epigenetic Cell IdentityR35GM146978 · NIGMS · CHILDREN'S HOSP OF PHILADELPHIA · PI Wanding Zhou · 2022 to 2026
$2.2M
NIGMS NIH HHS R35 GM146978
6 · The paper itself

Abstract

The arrival of the Infinium DNA methylation BeadChips for mice and other nonhuman mammalian species has outpaced the development of the informatics that supports their use for epigenetics study in model organisms. Here, we present informatics infrastructure and methods to allow easy DNA methylation analysis on multiple species, including domesticated animals and inbred laboratory mice (in SeSAMe version 1.16.0+). First, we developed a data-driven analysis pipeline covering species inference, genome-specific data preprocessing and regression modeling. We targeted genomes of 310 species and 37 inbred mouse strains and showed that genome-specific preprocessing prevents artifacts and yields more accurate measurements than generic pipelines. Second, we uncovered the dynamics of the epigenome evolution in different genomic territories and tissue types through comparative analysis. We identified a catalog of inbred mouse strain-specific methylation differences, some of which are linked to the strains' immune, metabolic and neurological phenotypes. By streamlining DNA methylation array analysis for undesigned genomes, our methods extend epigenome research to broad species contexts.

Indexed as

DNA MethylationEpigenomeAnimalsCpG IslandsEpigenesis, GeneticGenomeMammalsMiceOligonucleotide Array Sequence Analysiscomparative epigeneticsDNA methylationmouse epigenetics

Identifiers

PMID36617464
PMCPMC10147478

What OpenQuestion holds

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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.