Evidence map›Paper›PMID 38212558›Full record

ArticleCommunications biology2024

Detection of chromosomal aneuploidy in ancient genomes.

Kyriaki Anastasiadou, Marina Silva, Thomas Booth, Leo Speidel, Tony Audsley, Christopher Barrington, Jo Buckberry, Diana Fernandes, Ben Ford, Mark Gibson and 21 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
16.0field-weighted citation impact, top 1% of its field
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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  4. The Genomic Legacy of the Norman Conquest in Rural England.bioRxiv : the preprint server for biology · 2026
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  12. Genetic history of Scythia.Science advances · 2025
    Article
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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

31 authors at 7 institutions in 2 countries.

Kyriaki AnastasiadouAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom. kyriaki.anastasiadou@crick.ac.uk.ORCID 0000-0001-8033-6070
Marina SilvaAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-3756-0920
Thomas BoothAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-8731-818X
Leo SpeidelAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
Tony AudsleyIndependent Scholar, Wells, United Kingdom.
Christopher BarringtonBioinformatics and Biostatistics Science Technology Platform, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0003-1281-2658
Jo BuckberrySchool of Archaeological and Forensic Sciences, University of Bradford, Bradford, United Kingdom.
Diana FernandesNetwork Archaeology, Lincoln, United Kingdom.
Ben FordOxford Archaeology, Oxford, United Kingdom.
Mark GibsonOxford Archaeology, Oxford, United Kingdom.
Alexandre GilardetAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
Isabelle GlockeAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
Katie KeefeYork Osteoarchaeology, York, United Kingdom.
Monica KellyAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
Mackenzie MastersYork Osteoarchaeology, York, United Kingdom.ORCID 0000-0002-8940-5906
Jesse McCabeAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
Lauren McIntyreOxford Archaeology, Oxford, United Kingdom.
Paola PonceYork Osteoarchaeology, York, United Kingdom.
Stephen RowlandOxford Archaeology, Oxford, United Kingdom.
Jordi Ruiz VenturaYork Osteoarchaeology, York, United Kingdom.
Pooja SwaliAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-8301-8649
Frankie TaitAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0009-0004-1864-5867
David WalkerWells and Mendip Museum, Wells, United Kingdom.
Helen WebbOxford Archaeology, Oxford, United Kingdom.
Mia WilliamsAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
Annsofie WitkinOxford Archaeology, Oxford, United Kingdom.
Malin HolstYork Osteoarchaeology, York, United Kingdom.
Louise LoeOxford Archaeology, Oxford, United Kingdom.ORCID 0009-0009-6727-3306
Ian ArmitDepartment of Archaeology, University of York, York, United Kingdom.ORCID 0000-0001-8669-3810
Rick SchultingSchool of Archaeology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-4444-766X
Pontus SkoglundAncient genomics laboratory, The Francis Crick Institute, London, United Kingdom. pontus.skoglund@crick.ac.uk.ORCID 0000-0002-3021-5913
The Francis Crick Institute · GBOxford Archaeology · GBYork Osteoarchaeology (United Kingdom) · GBOldham Council · GBUniversity of Bradford · GBUniversity of Oxford · GBUniversity of York · GB

Funding

Wellcome Trust FC001595
6 · The paper itself

Abstract

Ancient DNA is a valuable tool for investigating genetic and evolutionary history that can also provide detailed profiles of the lives of ancient individuals. In this study, we develop a generalised computational approach to detect aneuploidies (atypical autosomal and sex chromosome karyotypes) in the ancient genetic record and distinguish such karyotypes from contamination. We confirm that aneuploidies can be detected even in low-coverage genomes ( ~ 0.0001-fold), common in ancient DNA. We apply this method to ancient skeletal remains from Britain to document the first instance of mosaic Turner syndrome (45,X0/46,XX) in the ancient genetic record in an Iron Age individual sequenced to average 9-fold coverage, the earliest known incidence of an individual with a 47,XYY karyotype from the Early Medieval period, as well as individuals with Klinefelter (47,XXY) and Down syndrome (47,XY, + 21). Overall, our approach provides an accessible and automated framework allowing for the detection of individuals with aneuploidies, which extends previous binary approaches. This tool can facilitate the interpretation of burial context and living conditions, as well as elucidate past perceptions of biological sex and people with diverse biological traits.

Indexed as

Down SyndromeKlinefelter SyndromeAneuploidyDNA, AncientHumansMaleSex ChromosomesDNA, Ancient

Identifiers

PMID38212558
PMCPMC10784527
OpenAlexW4390792544

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.