Evidence map›Paper›PMID 39390557›Full record

ArticleGenome biology2024

Improved detection of methylation in ancient DNA.

Susanna Sawyer, Pere Gelabert, Benjamin Yakir, Alejandro Llanos-Lizcano, Alessandra Sperduti, Luca Bondioli, Olivia Cheronet, Christine Neugebauer-Maresch, Maria Teschler-Nicola, Mario Novak and 9 more

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

19 authors.

Susanna SawyerDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria. susanna.sawyer@univie.ac.at.ORCID http://orcid.org/0000-0002-8477-6089
Pere GelabertDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Benjamin YakirDepartment of Statistics, The Faculty of Social Science, The Hebrew University Mount Scopus, Jerusalem, Israel.
Alejandro Llanos-LizcanoDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Alessandra SperdutiMuseo Delle Civiltà, Servizio Di Bioarcheologia, Rome, Italy.
Luca BondioliUniversità Di Padova, Dipartimento Dei Beni Culturali, Padua, Italy.
Olivia CheronetDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Christine Neugebauer-MareschAustrian Archaeological Institute, Austrian Academy of Sciences, Vienna, Austria.
Maria Teschler-NicolaDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Mario NovakCentre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia.
Ildikó PapDepartment of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary.
Ildikó Szikossy, Budapest, Hungary.
Tamás HajduDepartment of Biological Anthropology, Eötvös Loránd University, Budapest, Hungary.
Vyacheslav MoiseyevPeter the Great Museum of Anthropology and Ethnography (Kunstkamera), RAS, Saint Petersburg, Russia.
Andrey GromovPeter the Great Museum of Anthropology and Ethnography (Kunstkamera), RAS, Saint Petersburg, Russia.
Gunita ZariņaInstitute of Latvian History, University of Latvia, Riga, Latvia.
Eran MeshorerThe Edmond and Lily Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem, Israel.
Liran CarmelDepartment of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
Ron PinhasiDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria. ron.pinhasi@univie.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconstructing premortem DNA methylation levels in ancient DNA has led to breakthrough studies such as the prediction of anatomical features of the Denisovan. These studies rely on computationally inferring methylation levels from damage signals in naturally deaminated cytosines, which requires expensive high-coverage genomes. Here, we test two methods for direct methylation measurement developed for modern DNA based on either bisulfite or enzymatic methylation treatments. Bisulfite treatment shows the least reduction in DNA yields as well as the least biases during methylation conversion, demonstrating that this method can be successfully applied to ancient DNA.

Indexed as

DNA, AncientDNA MethylationSulfitesHumansSequence Analysis, DNADNA, Ancienthydrogen sulfiteSulfitesAncient DNABisulfite treatmentEnzymatic methylation treatmentMethylationPaleogenomics

Identifiers

PMID39390557
PMCPMC11465500

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Registered trials

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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.