ArticleScientific reports2022
DNA methylation profile in beef cattle is influenced by additive genetics and age.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Emerging opportunities for DNA methylation biomarkers in cattle improvement.The Journal of reproduction and development · 2026Review
- Changes in nuclear and mitochondrial DNA methylation in cow blood associated with age and disease.Epigenetics · 2025Article
- Genetic regulation of sperm DNA methylation in cattle through meQTL mapping.BMC genomics · 2025Article
- Post-Slaughter Age Classification and Sex Determination in Deboned Beef Using Lipofuscin Autofluorescence and Amelogenin Gene Analysis.Veterinary sciences · 2025Article
- Exploring Tissue- and Sex-Specific DNA Methylation in Cattle Using a Pan-Mammalian Infinium Array.International journal of molecular sciences · 2025Article
- Profiling Genome-Wide Methylation Patterns in Cattle Infected withInternational journal of molecular sciences · 2024Article
- Identification of DNA methylation markers for age and Bovine Respiratory Disease in dairy cattle: A pilot study based on Reduced Representation Bisulfite Sequencing.Communications biology · 2024Article
- Quantification of the effect of in utero events on lifetime resilience in dairy cows.Journal of dairy science · 2024Article
- Epigenetic aging in cows is accelerated by milk production.Epigenetics · 2023Article
- Evaluation ofGenes · 2023Article
- Effects of DNA Methylation on Gene Expression and Phenotypic Traits in Cattle: A Review.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation (DNAm) has been considered a promising indicator of biological age in mammals and could be useful to increase the accuracy of phenotypic prediction in livestock. The objectives of this study were to estimate the heritability and age effects of site-specific DNAm (DNAm level) and cumulative DNAm across all sites (DNAm load) in beef cattle. Blood samples were collected from cows ranging from 217 to 3,192 days (0.6 to 8.7 years) of age (n = 136). All animals were genotyped, and DNAm was obtained using the Infinium array HorvathMammalMethylChip40. Genetic parameters for DNAm were obtained from an animal model based on the genomic relationship matrix, including the fixed effects of age and breed composition. Heritability estimates of DNAm levels ranged from 0.18 to 0.72, with a similar average across all regions and chromosomes. Heritability estimate of DNAm load was 0.45. The average age effect on DNAm level varied among genomic regions. The DNAm level across the genome increased with age in the promoter and 5' UTR and decreased in the exonic, intronic, 3' UTR, and intergenic regions. In addition, DNAm level increased with age in regions enriched in CpG and decreased in regions deficient in CpG. Results suggest DNAm profiles are influenced by both genetics and the environmental effect of age in beef cattle.
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