Evidence map›Paper›PMID 39856224›Full record

ArticleScientific reports2025

Genomic analysis of three medieval parchments from German monasteries.

Felix Heinrich, Henner Simianer, Jörg Bölling, Hedwig Röckelein, Christian Roos, Christian Reimer, Armin O Schmitt

Abstract readHistorical Article
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Felix Heinrich *Breeding Informatics Group, Department of Animal Sciences, Georg-August University, 37075, Göttingen, Germany. felix.heinrich@uni-goettingen.de.
Henner SimianerCenter for Integrated Breeding Research (CiBreed), Georg-August University, 37075, Göttingen, Germany.
Jörg BöllingSeminar für Mittlere und Neuere Geschichte, Kulturwissenschaftliches Zentrum, Georg-August University, 37073, Göttingen, Germany.
Hedwig RöckeleinSeminar für Mittlere und Neuere Geschichte, Kulturwissenschaftliches Zentrum, Georg-August University, 37073, Göttingen, Germany.
Christian RoosCenter for Integrated Breeding Research (CiBreed), Georg-August University, 37075, Göttingen, Germany.
Christian ReimerCenter for Integrated Breeding Research (CiBreed), Georg-August University, 37075, Göttingen, Germany.
Armin O Schmitt *Breeding Informatics Group, Department of Animal Sciences, Georg-August University, 37075, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last two decades there has been growing interest in the analysis of ancient DNA obtained from the parchment used in historic documents. The genetic insight that this data provides makes collections of historic documents an invaluable source for studying the development and spread of historical livestock populations. Additionally, the biological data may provide new information for the historical analysis that could be used to determine the provenance as well as the authenticity of these documents. In this study, we extracted DNA from three medieval parchments that were written in German monasteries in the twelfth century. The source animal of the parchments could be identified as cattle and we compared their genome sequences with those of modern populations that are part of the 1000 Bull Genomes Project. The three animals were found to carry mtDNA haplogroup T3 and show a closer genetic relationship to other historic animals than to modern breeds. We further identified 39 haplotypes and 132 SNPs variants, which are rare (

Indexed as

DNA, AncientDNA, MitochondrialGenomicsAnimalsCattleGenomeGermanyHaplotypesHistory, MedievalPhylogenyPolymorphism, Single NucleotideDNA, AncientDNA, Mitochondrial

Identifiers

PMID39856224
PMCPMC11759711

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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.