ADVANCING GENOTYPE IMPUTATION IN ANCIENT GENOMES USING A REGION-SPECIFIC REFERENCE PANEL AND BENCHMARK GENOTYPES
Background: Ancient DNA datasets are often characterized by low coverage and high levels of missing data, which limit the use of diploid-based analyses and constrain population genetic inference. Although genotype imputation is increasingly used to overcome these limitations, its performance depends strongly on the composition of the reference panel and genetic divergence, and rigorous…
Background: Ancient DNA datasets often suffer from low coverage and extensive missing data, hindering diploid-based analyses and constraining population genetic inference. While genotype imputation has become a popular solution to address these issues, its effectiveness is heavily reliant on the composition of the reference panel, genetic divergence, and the availability of high-coverage ancient genomes. Rigorous benchmarking has proven challenging due to the scarcity of such genomes.
Results: In this study, a region-specific reference panel, named eREF, was developed to focus on Eastern Europe. This eREF panel proved to enhance the imputation performance of low-coverage ancient genomes originating from the same region. To address the limited availability of high-coverage ancient genomes suitable for direct genotype calling, crucial for imputation quality assessment, the researchers generated proxy genotypes by imputing low-to-medium coverage (1-15X) ancient genomes.
These proxy genotypes were employed as a substitute for ground truth data when evaluating imputation accuracy in ultra-low-coverage genomes. Furthermore, the eREF-imputed data was utilized to perform downstream population genetic analyses, specifically on Late Iron Age/Medieval Estonian populations, to explore whether cultural differentiation among contemporary communities corresponded with their genetic variation.
Conclusions: The eREF reference panel significantly improves imputation accuracy for ancient genomes from North and Eastern Europe by more accurately reflecting regional genetic variation. Additionally, the study demonstrates that imputed low-to-medium coverage genomes can serve as dependable proxy-truth genotypes for benchmarking imputation performance when high-coverage ancient genomes are not accessible.
Lastly, the use of eREF-enabled imputation facilitates fine-scale analyses of genetic structure, unveiling genetic differentiation between two neighboring contemporary communities that aligns with their cultural distinctions.
Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.