ArticleNucleic acids research2024
Reconstructing DNA methylation maps of ancient populations.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The epigenetic archaeology of human-dog companionship.Epigenetics · 2026Review
- Two Decades of DNA Methylation Shifts Reveal Epigenomic Responses to Environmental Change in Wild Salmo salar From Its Southernmost Populations.Molecular ecology · 2026Article
- enhancer3D: 3D chromatin structures and enhancer-promoter distance profiles for archaic and modern human genomes.Nucleic acids research · 2026Article
- RoAM: computational reconstruction of ancient methylomes and identification of differentially methylated regions.Genome biology · 2025Article
- Inferring DNA methylation in non-skeletal tissues of ancient specimens.Nature ecology & evolution · 2025Article
- Improved detection of methylation in ancient DNA.Genome biology · 2024Article
- Investigating food production-associated DNA methylation changes in paleogenomes: Lack of consistent signals beyond technical noise.Evolutionary applications · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Studying premortem DNA methylation from ancient DNA (aDNA) provides a proxy for ancient gene activity patterns, and hence valuable information on evolutionary changes in gene regulation. Due to statistical limitations, current methods to reconstruct aDNA methylation maps are constrained to high-coverage shotgun samples, which comprise a small minority of available ancient samples. Most samples are sequenced using in-situ hybridization capture sequencing which targets a predefined set of genomic positions. Here, we develop methods to reconstruct aDNA methylation maps of samples that were not sequenced using high-coverage shotgun sequencing, by way of pooling together individuals to obtain a DNA methylation map that is characteristic of a population. We show that the resulting DNA methylation maps capture meaningful biological information and allow for the detection of differential methylation across populations. We offer guidelines on how to carry out comparative studies involving ancient populations, and how to control the rate of falsely discovered differentially methylated regions. The ability to reconstruct DNA methylation maps of past populations allows for the development of a whole new frontier in paleoepigenetic research, tracing DNA methylation changes throughout human history, using data from thousands of ancient samples.
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