Evidence map›Paper›PMID 39435573›Full record

ArticleGigaScience2024

DNA methylation analysis to differentiate reference, breed, and parent-of-origin effects in the bovine pangenome era.

Callum MacPhillamy, Tong Chen, Stefan Hiendleder, John L Williams, Hamid Alinejad-Rokny, Wai Yee Low

Abstract read
In one paragraph

Article in GigaScience, 2024. 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. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

6 authors.

Callum MacPhillamyThe Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy SA 5371, Australia.ORCID 0000-0002-4057-2463
Tong ChenThe Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy SA 5371, Australia.ORCID 0000-0002-7681-9632
Stefan HiendlederThe Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy SA 5371, Australia.
John L WilliamsThe Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy SA 5371, Australia.ORCID 0000-0001-5188-7957
Hamid Alinejad-RoknyBioMedical Machine Learning Lab, The Graduate School of Biomedical Engineering, Univeristy of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0002-2189-9153
Wai Yee LowThe Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy SA 5371, Australia.ORCID 0000-0002-0749-765X

Funding

Davies Livestock Research Centre
6 · The paper itself

Abstract

backgroundMost DNA methylation studies have used a single reference genome with little attention paid to the bias introduced due to the reference chosen. Reference genome artifacts and genetic variation, including single nucleotide polymorphisms (SNPs) and structural variants (SVs), can lead to differences in methylation sites (CpGs) between individuals of the same species. We analyzed whole-genome bisulfite sequencing data from the fetal liver of Angus (Bos taurus taurus), Brahman (Bos taurus indicus), and reciprocally crossed samples. Using reference genomes for each breed from the Bovine Pangenome Consortium, we investigated the influence of reference genome choice on the breed and parent-of-origin effects in methylome analyses.

resultsOur findings revealed that ∼75% of CpG sites were shared between Angus and Brahman, ∼5% were breed specific, and ∼20% were unresolved. We demonstrated up to ∼2% quantification bias in global methylation when an incorrect reference genome was used. Furthermore, we found that SNPs impacted CpGs 13 times more than other autosomal sites (P < $5 \times {10}^{ - 324}$) and SVs contained 1.18 times (P < $5 \times {10}^{ - 324}$) more CpGs than non-SVs. We found a poor overlap between differentially methylated regions (DMRs) and differentially expressed genes (DEGs) and suggest that DMRs may be impacting enhancers that target these DEGs. DMRs overlapped with imprinted genes, of which 1, DGAT1, which is important for fat metabolism and weight gain, was found in the breed-specific and sire-of-origin comparisons.

conclusionsThis work demonstrates the need to consider reference genome effects to explore genetic and epigenetic differences accurately and identify DMRs involved in controlling certain genes.

Indexed as

CpG IslandsDNA MethylationPolymorphism, Single NucleotideAnimalsBreedingCattleEpigenomeGenomeWhole Genome Sequencingbisulfite sequencingbovine pangenomeCpGDgat1differentially methylated regionmethylationstructural variants

Identifiers

PMID39435573
PMCPMC11484048

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.