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Imputation of ancient human genomes

Authors :
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
Hannes Schroeder
Morten E. Allentoft
Eske Willerslev
Anna-Sapfo Malaspinas
Olivier Delaneau
Source :
Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.558971cda6864dd59a519463d4cccb3c
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-023-39202-0