ReviewGenome biology2025
The genomic footprints of migration: how ancient DNA reveals our history of mobility.
Review in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Ancient DNA as a temporal lens: reconstructing evolution, migration, and disease dynamics.Journal, genetic engineering & biotechnology · 2026Review
- High-resolution analysis of recent population structure using rare variants.G3 (Bethesda, Md.) · 2026Article
- EGGS: Empirical Genotype Generalizer for Samples.Bioinformatics advances · 2026Article
- Publisher Correction: The genomic footprints of migration: how ancient DNA reveals our history of mobility.Genome biology · 2025Article
- EGGS: Empirical Genotype Generalizer for Samples.bioRxiv : the preprint server for biology · 2025Article
- The genomic footprints of migration: how ancient DNA reveals our history of mobility.Genome biology · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
Abstract
Ancient DNA has emerged as a powerful tool for studying human migration through the detection of admixture signatures. Here, we present the theoretical principles and methodologies for admixture analysis, with an emphasis on f-statistics and qpAdm. We review case studies from the literature demonstrating how these methods uncover patterns of human mobility, and discuss challenges related to data quality, demographic complexity, and sample representativeness on admixture and migration inferences. Finally, we highlight promising advancements in admixture analysis and underscore the importance of integrating genetic, archaeological, and historical data to achieve a more interdisciplinary and nuanced reconstruction of human history.
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What OpenQuestion holds
Registered trials
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.