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Assessing the impact of post-mortem damage and contamination on imputation performance in ancient DNA.
Garrido Marques, Antonio; Rubinacci, Simone; Malaspinas, Anna-Sapfo; Delaneau, Olivier; Sousa da Mota, Bárbara.
  • Garrido Marques A; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
  • Rubinacci S; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Malaspinas AS; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Delaneau O; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
  • Sousa da Mota B; Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.
Sci Rep ; 14(1): 6227, 2024 03 14.
Article en En | MEDLINE | ID: mdl-38486065
ABSTRACT
Low-coverage imputation is becoming ever more present in ancient DNA (aDNA) studies. Imputation pipelines commonly used for present-day genomes have been shown to yield accurate results when applied to ancient genomes. However, post-mortem damage (PMD), in the form of C-to-T substitutions at the reads termini, and contamination with DNA from closely related species can potentially affect imputation performance in aDNA. In this study, we evaluated imputation performance (i) when using a genotype caller designed for aDNA, ATLAS, compared to bcftools, and (ii) when contamination is present. We evaluated imputation performance with principal component analyses and by calculating imputation error rates. With a particular focus on differently imputed sites, we found that using ATLAS prior to imputation substantially improved imputed genotypes for a very damaged ancient genome (42% PMD). Trimming the ends of the sequencing reads led to similar improvements in imputation accuracy. For the remaining genomes, ATLAS brought limited gains. Finally, to examine the effect of contamination on imputation, we added various amounts of reads from two present-day genomes to a previously downsampled high-coverage ancient genome. We observed that imputation accuracy drastically decreased for contamination rates above 5%. In conclusion, we recommend (i) accounting for PMD by either trimming sequencing reads or using a genotype caller such as ATLAS before imputing highly damaged genomes and (ii) only imputing genomes containing up to 5% of contamination.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genoma / ADN Antiguo Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genoma / ADN Antiguo Idioma: En Año: 2024 Tipo del documento: Article