Evidence map›Paper›PMID 42309725›Full record

ReviewThe Journal of reproduction and development2026

Emerging opportunities for DNA methylation biomarkers in cattle improvement.

George E Liu

Abstract readReview
In one paragraph

Review in The Journal of reproduction and development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

George E LiuAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD 20705, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving economically important traits such as productivity, fertility, and health remains a central goal in modern cattle breeding. While genome-wide association studies (GWAS) have revolutionized genomics by identifying numerous trait-associated single nucleotide polymorphisms (SNPs), a significant proportion of phenotypic variation remains unexplained, often referred to as missing heritability. Furthermore, identifying causal genes and regulatory elements within complex GWAS loci is challenging. Population-scale multi-omics studies like FarmGTEx, particularly those focusing on epigenetics, offer new opportunities to uncover regulatory biomarkers beyond static SNPs. DNA methylation (DNAm) has emerged as a promising epigenetic layer that acts as a bridge between the genome and the phenome, mediating environmental and genetic influences on gene expression. Within this landscape, genomic regions containing stable single methylation polymorphisms (SMPs), known as Correlated Regions of Systemic Interindividual Variation (CoRSIVs) are gaining increasing recognition for its emerging potential. CoRSIVs exhibit stability across diverse tissues, high interindividual variability, and partial heritability, making them ideal, tissue-agnostic candidates for scalable and cost-effective epigenetic applications. This review highlights the growing relevance of SMPs, especially CoRSIVs, for improving biomarker discovery, enhancing prediction accuracy, and strengthening cattle management and breeding strategies.

Indexed as

DNA MethylationAnimalsBiomarkersBreedingCattleEpigenesis, GeneticGenetic MarkersGenome-Wide Association StudyPolymorphism, Single NucleotideBiomarkersGenetic MarkersBiomarkerCattleCorrelated Regions of Systemic Interindividual Variation (CoRSIVs)DNA methylationSingle methylation polymorphism (SMP)

Identifiers

PMID42309725
PMCPMC13286721

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.