Evidence map›Paper›PMID 37339987›Full record

ArticleNature communications2023

Imputation of ancient human genomes.

Bárbara Sousa da Mota, Simone Rubinacci, Diana Ivette Cruz Dávalos, Carlos Eduardo G Amorim, Martin Sikora, Niels N Johannsen, Marzena H Szmyt, Piotr Włodarczak, Anita Szczepanek, Marcin M Przybyła and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
  2. Spatial Logic and Evolutionary Innovation in Human Placentation.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Graph transformer for ancient ancestry inference.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Structured missingness in biomedical research.Communications AI & computing · 2026
    Article
  20. A SNP panel for co-analysis of capture and shotgun ancient DNA data.bioRxiv : the preprint server for biology · 2025
    Article

3 more citing papers are in PubMed but not listed here.

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

15 authors.

Bárbara Sousa da MotaDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Simone RubinacciDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-7725-4813
Diana Ivette Cruz DávalosDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-5309-6937
Carlos Eduardo G AmorimDepartment of Biology, California State University, Northridge, California, USA.
Martin SikoraLundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-2818-8319
Niels N JohannsenDepartment of Archaeology and Heritage Studies, Aarhus University, Aarhus, Denmark.
Marzena H SzmytInstitute for Eastern Research, Adam Mickiewicz University in Poznań, Poznań, Poland.
Piotr WłodarczakInstitute of Archaeology and Ethnology, Polish Academy of Sciences, Kraków, Poland.ORCID 0000-0003-0359-7386
Anita SzczepanekInstitute of Archaeology and Ethnology, Polish Academy of Sciences, Kraków, Poland.
Marcin M PrzybyłaInstitute of Archaeology, Jagiellonian University, Kraków, Poland.
Hannes SchroederThe Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Morten E AllentoftLundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Eske WillerslevLundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Anna-Sapfo Malaspinas *Department of Computational Biology, University of Lausanne, Lausanne, Switzerland. annasapfo.malaspinas@unil.ch.
Olivier Delaneau *Department of Computational Biology, University of Lausanne, Lausanne, Switzerland. olivier.delaneau@unil.ch.ORCID 0000-0002-3906-8446

Funding

Characterizing Human-Pathogen Interactions and Natural Selection with Ancient DNAR35GM142939 · NIGMS · CALIFORNIA STATE UNIVERSITY NORTHRIDGE · PI GUERRA AMORIM, CARLOS EDUARDO · 2021 to 2025
$1.8M
NIGMS NIH HHS R35 GM142939
6 · The paper itself

Abstract

Due to postmortem DNA degradation and microbial colonization, most ancient genomes have low depth of coverage, hindering genotype calling. Genotype imputation can improve genotyping accuracy for low-coverage genomes. However, it is unknown how accurate ancient DNA imputation is and whether imputation introduces bias to downstream analyses. Here we re-sequence an ancient trio (mother, father, son) and downsample and impute a total of 43 ancient genomes, including 42 high-coverage (above 10x) genomes. We assess imputation accuracy across ancestries, time, depth of coverage, and sequencing technology. We find that ancient and modern DNA imputation accuracies are comparable. When downsampled at 1x, 36 of the 42 genomes are imputed with low error rates (below 5%) while African genomes have higher error rates. We validate imputation and phasing results using the ancient trio data and an orthogonal approach based on Mendel's rules of inheritance. We further compare the downstream analysis results between imputed and high-coverage genomes, notably principal component analysis, genetic clustering, and runs of homozygosity, observing similar results starting from 0.5x coverage, except for the African genomes. These results suggest that, for most populations and depths of coverage as low as 0.5x, imputation is a reliable method that can improve ancient DNA studies.

Indexed as

Genome, HumanGenotyping TechniquesDNA, AncientGenome-Wide Association StudyGenotypeHumansPolymorphism, Single NucleotideDNA, Ancient

Identifiers

PMID37339987
PMCPMC10282092

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.