Evidence map›Paper›PMID 36829529›Full record

ArticleBiology2023

Inter-Individual Variation in DNA Methylation Patterns across Two Tissues and Leukocytes in Mature Brahman Cattle.

Emilie C Baker, Audrey E San, Kubra Z Cilkiz, Brittni P Littlejohn, Rodolfo C Cardoso, Noushin Ghaffari, Charles R Long, Penny K Riggs, Ronald D Randel, Thomas H Welsh and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Genotoxicity of cancer therapies and the risk of secondary malignancies: toward personalized prevention.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

11 authors at 2 institutions in 1 country.

Emilie C BakerDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.
Audrey E SanDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.
Kubra Z CilkizDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.
Brittni P LittlejohnDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.
Rodolfo C CardosoDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.ORCID 0000-0002-2466-5205
Noushin GhaffariDepartment of Computer Science, Prairie View A&M University, Prairie View, TX 77446, USA.
Charles R LongDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.
Penny K RiggsDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.ORCID 0000-0003-3296-320X
Ronald D RandelDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.
Thomas H WelshDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.
David G RileyDepartment of Animal Science, Texas A&M University, College Station, TX 77845, USA.ORCID 0000-0003-2353-7823
Texas A&M University · USPrairie View A&M University · US

Funding

Hatch Projects H-9022,H-TEX09377United States Department of Agriculture 2018-67015-28131Western Regional Project TEX03212
6 · The paper itself

Abstract

Quantifying the natural inter-individual variation in DNA methylation patterns is important for identifying its contribution to phenotypic variation, but also for understanding how the environment affects variability, and for incorporation into statistical analyses. The inter-individual variation in DNA methylation patterns in female cattle and the effect that a prenatal stressor has on such variability have yet to be quantified. Thus, the objective of this study was to utilize methylation data from mature Brahman females to quantify the inter-individual variation in DNA methylation. Pregnant Brahman cows were transported for 2 h durations at days 60 ± 5; 80 ± 5; 100 ± 5; 120 ± 5; and 140 ± 5 of gestation. A non-transport group was maintained as a control. Leukocytes, amygdala, and anterior pituitary glands were harvested from eight cows born from the non-transport group (Control) and six from the transport group (PNS) at 5 years of age. The DNA harvested from the anterior pituitary contained the greatest variability in DNA methylation of cytosine-phosphate-guanine (mCpG) sites from both the PNS and Control groups, and the amygdala had the least. Numerous variable mCpG sites were associated with retrotransposable elements and highly repetitive regions of the genome. Some of the genomic features that had high variation in DNA methylation are involved in immune responses, signaling, responses to stimuli, and metabolic processes. The small overlap of highly variable CpG sites and features between tissues and leukocytes supports the role of variable DNA methylation in regulating tissue-specific gene expression. Many of the CpG sites that exhibited high variability in DNA methylation were common between the PNS and Control groups within a tissue, but there was little overlap in genomic features with high variability. The interaction between the prenatal environment and the genome could be responsible for the differences in location of the variable DNA methylation.

Indexed as

Brahmanmethylationprenatal stressvariability

Identifiers

PMID36829529
PMCPMC9953534
OpenAlexW4319317080

What OpenQuestion 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 OpenQuestion graph.