Imputation of ancient genomes

Research output: Working paperPreprintResearch

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Imputation of ancient genomes. / da Mota, Barbara Sousa; Rubinacci, Simone; Dávalos, Diana Ivette Cruz; Amorim, Carlos Eduardo G.; Sikora, Martin; Johannsen, Niels N.; Szmyt, Marzena; Włodarczak, Piotr; Szczepanek, Anita; Przybyła, Marcin M.; Schroeder, Hannes; Allentoft, Morten E.; Willerslev, Eske; Malaspinas, Anna-Sapfo; Delaneau, Olivier.

bioRxiv, 2022.

Research output: Working paperPreprintResearch

Harvard

da Mota, BS, Rubinacci, S, Dávalos, DIC, Amorim, CEG, Sikora, M, Johannsen, NN, Szmyt, M, Włodarczak, P, Szczepanek, A, Przybyła, MM, Schroeder, H, Allentoft, ME, Willerslev, E, Malaspinas, A-S & Delaneau, O 2022 'Imputation of ancient genomes' bioRxiv. https://doi.org/10.1101/2022.07.19.500636

APA

da Mota, B. S., Rubinacci, S., Dávalos, D. I. C., Amorim, C. E. G., Sikora, M., Johannsen, N. N., Szmyt, M., Włodarczak, P., Szczepanek, A., Przybyła, M. M., Schroeder, H., Allentoft, M. E., Willerslev, E., Malaspinas, A-S., & Delaneau, O. (2022). Imputation of ancient genomes. bioRxiv. https://doi.org/10.1101/2022.07.19.500636

Vancouver

da Mota BS, Rubinacci S, Dávalos DIC, Amorim CEG, Sikora M, Johannsen NN et al. Imputation of ancient genomes. bioRxiv. 2022. https://doi.org/10.1101/2022.07.19.500636

Author

da Mota, Barbara Sousa ; Rubinacci, Simone ; Dávalos, Diana Ivette Cruz ; Amorim, Carlos Eduardo G. ; Sikora, Martin ; Johannsen, Niels N. ; Szmyt, Marzena ; Włodarczak, Piotr ; Szczepanek, Anita ; Przybyła, Marcin M. ; Schroeder, Hannes ; Allentoft, Morten E. ; Willerslev, Eske ; Malaspinas, Anna-Sapfo ; Delaneau, Olivier. / Imputation of ancient genomes. bioRxiv, 2022.

Bibtex

@techreport{3a7edfcf26a3420ba95aa3b6b14395ae,
title = "Imputation of ancient genomes",
abstract = "Due to postmortem DNA degradation, most ancient genomes sequenced to date have low depth of coverage, preventing the true underlying genotypes from being recovered. Genotype imputation has been put forward to improve genotyping accuracy for low-coverage genomes. However, it is unknown to what extent imputation of ancient genomes produces accurate genotypes and whether imputation introduces bias to downstream analyses. To address these questions, we downsampled 43 ancient genomes, 42 of which are high-coverage (above 10x) and three constitute a trio (mother, father and son), from different times and continents to simulate data with coverage in the range of 0.1x-2.0x and imputed these using state-of-the-art methods and reference panels. We assessed imputation accuracy across ancestries and depths of coverage. We found that ancient and modern DNA imputation accuracies were comparable. We imputed most of the 42 high-coverage genomes downsampled to 1x with low error rates (below 5%) and estimated higher error rates for African genomes, which are underrepresented in the reference panel. We used the ancient trio data to validate imputation and phasing results using an orthogonal approach based on Mendel{\textquoteright}s rules of inheritance. This resulted in imputation and switch error rates of 1.9% and 2.0%, respectively, for 1x genomes. We further compared the results of downstream analyses between imputed and high-coverage genomes, notably principal component analysis (PCA), genetic clustering, and runs of homozygosity (ROH). For these three approaches, we observed similar results between imputed and high-coverage genomes using depths of coverage of at least 0.5x, except for African genomes, for which the decreased imputation accuracy impacted ROH estimates. Altogether, these results suggest that, for most populations and depths of coverage as low as 0.5x, imputation is a reliable method with potential to expand and improve ancient DNA studies.",
author = "{da Mota}, {Barbara Sousa} and Simone Rubinacci and D{\'a}valos, {Diana Ivette Cruz} and Amorim, {Carlos Eduardo G.} and Martin Sikora and Johannsen, {Niels N.} and Marzena Szmyt and Piotr W{\l}odarczak and Anita Szczepanek and Przyby{\l}a, {Marcin M.} and Hannes Schroeder and Allentoft, {Morten E.} and Eske Willerslev and Anna-Sapfo Malaspinas and Olivier Delaneau",
year = "2022",
doi = "10.1101/2022.07.19.500636",
language = "English",
publisher = "bioRxiv",
type = "WorkingPaper",
institution = "bioRxiv",

}

RIS

TY - UNPB

T1 - Imputation of ancient genomes

AU - da Mota, Barbara Sousa

AU - Rubinacci, Simone

AU - Dávalos, Diana Ivette Cruz

AU - Amorim, Carlos Eduardo G.

AU - Sikora, Martin

AU - Johannsen, Niels N.

AU - Szmyt, Marzena

AU - Włodarczak, Piotr

AU - Szczepanek, Anita

AU - Przybyła, Marcin M.

AU - Schroeder, Hannes

AU - Allentoft, Morten E.

AU - Willerslev, Eske

AU - Malaspinas, Anna-Sapfo

AU - Delaneau, Olivier

PY - 2022

Y1 - 2022

N2 - Due to postmortem DNA degradation, most ancient genomes sequenced to date have low depth of coverage, preventing the true underlying genotypes from being recovered. Genotype imputation has been put forward to improve genotyping accuracy for low-coverage genomes. However, it is unknown to what extent imputation of ancient genomes produces accurate genotypes and whether imputation introduces bias to downstream analyses. To address these questions, we downsampled 43 ancient genomes, 42 of which are high-coverage (above 10x) and three constitute a trio (mother, father and son), from different times and continents to simulate data with coverage in the range of 0.1x-2.0x and imputed these using state-of-the-art methods and reference panels. We assessed imputation accuracy across ancestries and depths of coverage. We found that ancient and modern DNA imputation accuracies were comparable. We imputed most of the 42 high-coverage genomes downsampled to 1x with low error rates (below 5%) and estimated higher error rates for African genomes, which are underrepresented in the reference panel. We used the ancient trio data to validate imputation and phasing results using an orthogonal approach based on Mendel’s rules of inheritance. This resulted in imputation and switch error rates of 1.9% and 2.0%, respectively, for 1x genomes. We further compared the results of downstream analyses between imputed and high-coverage genomes, notably principal component analysis (PCA), genetic clustering, and runs of homozygosity (ROH). For these three approaches, we observed similar results between imputed and high-coverage genomes using depths of coverage of at least 0.5x, except for African genomes, for which the decreased imputation accuracy impacted ROH estimates. Altogether, these results suggest that, for most populations and depths of coverage as low as 0.5x, imputation is a reliable method with potential to expand and improve ancient DNA studies.

AB - Due to postmortem DNA degradation, most ancient genomes sequenced to date have low depth of coverage, preventing the true underlying genotypes from being recovered. Genotype imputation has been put forward to improve genotyping accuracy for low-coverage genomes. However, it is unknown to what extent imputation of ancient genomes produces accurate genotypes and whether imputation introduces bias to downstream analyses. To address these questions, we downsampled 43 ancient genomes, 42 of which are high-coverage (above 10x) and three constitute a trio (mother, father and son), from different times and continents to simulate data with coverage in the range of 0.1x-2.0x and imputed these using state-of-the-art methods and reference panels. We assessed imputation accuracy across ancestries and depths of coverage. We found that ancient and modern DNA imputation accuracies were comparable. We imputed most of the 42 high-coverage genomes downsampled to 1x with low error rates (below 5%) and estimated higher error rates for African genomes, which are underrepresented in the reference panel. We used the ancient trio data to validate imputation and phasing results using an orthogonal approach based on Mendel’s rules of inheritance. This resulted in imputation and switch error rates of 1.9% and 2.0%, respectively, for 1x genomes. We further compared the results of downstream analyses between imputed and high-coverage genomes, notably principal component analysis (PCA), genetic clustering, and runs of homozygosity (ROH). For these three approaches, we observed similar results between imputed and high-coverage genomes using depths of coverage of at least 0.5x, except for African genomes, for which the decreased imputation accuracy impacted ROH estimates. Altogether, these results suggest that, for most populations and depths of coverage as low as 0.5x, imputation is a reliable method with potential to expand and improve ancient DNA studies.

U2 - 10.1101/2022.07.19.500636

DO - 10.1101/2022.07.19.500636

M3 - Preprint

BT - Imputation of ancient genomes

PB - bioRxiv

ER -

ID: 384578125