ArticleGenetics2018
Assessing the Relationship of Ancient and Modern Populations.
Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The practice and promise of temporal genomics for measuring evolutionary responses to global change.Molecular ecology resources · 2025Pooled it
- CHARON: estimating the drift time and the number of individuals in environmental DNA with diploid individuals.G3 (Bethesda, Md.) · 2026Article
- Evidence of long-term purging of mutation burden in killer whale Orcinus orca genomes.Heredity · 2025Article
- Accounting for population structure and data quality in demographic inference with linkage disequilibrium methods.Nature communications · 2025Article
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- Demographic history and genetic variation of the Armenian population.American journal of human genetics · 2025Article
- Conditional frequency spectra as a tool for studying selection on complex traits in biobanks.bioRxiv : the preprint server for biology · 2024Article
- Ancient Sheep Genomes Reveal Four Millennia of North European Short-Tailed Sheep in the Baltic Sea Region.Genome biology and evolution · 2024Article
- Article
- Demographic history and genetic structure in pre-Hispanic Central Mexico.Science (New York, N.Y.) · 2023Article
- Article
- Ancient genomics reveals tripartite origins of Japanese populations.Science advances · 2021Article
- Ancient genomes from northern China suggest links between subsistence changes and human migration.Nature communications · 2020Article
- Inference of natural selection from ancient DNA.Evolution letters · 2020Article
- Article
- The genetic prehistory of the Andean highlands 7000 years BP though European contact.Science advances · 2018Article
- Article
- Origins and genetic legacies of the Caribbean Taino.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Genetic material sequenced from ancient samples is revolutionizing our understanding of the recent evolutionary past. However, ancient DNA is often degraded, resulting in low coverage, error-prone sequencing. Several solutions exist to this problem, ranging from simple approach, such as selecting a read at random for each site, to more complicated approaches involving genotype likelihoods. In this work, we present a novel method for assessing the relationship of an ancient sample with a modern population, while accounting for sequencing error and postmortem damage by analyzing raw reads from multiple ancient individuals simultaneously. We show that, when analyzing SNP data, it is better to sequence more ancient samples to low coverage: two samples sequenced to 0.5× coverage provide better resolution than a single sample sequenced to 2× coverage. We also examined the power to detect whether an ancient sample is directly ancestral to a modern population, finding that, with even a few high coverage individuals, even ancient samples that are very slightly diverged from the modern population can be detected with ease. When we applied our approach to European samples, we found that no ancient samples represent direct ancestors of modern Europeans. We also found that, as shown previously, the most ancient Europeans appear to have had the smallest effective population sizes, indicating a role for agriculture in modern population growth.
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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.