ArticleRoyal Society open science2018
Global demographic history of human populations inferred from whole mitochondrial genomes.
Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed.
- PSMC-FAC: Automated Optimization of False-Negative Rate Corrections for Low-Coverage PSMC-Based Demographic Inference.Biology · 2026Article
- Maternal genetic structure and population affinities of the Sichuan Han Chinese based on whole mitochondrial genomes.BMC genomics · 2026Article
- Decoding the tuberculosis puzzle: mechanical factors driving disease progression.Frontiers in tuberculosis · 2025Article
- Article
- The direction, timing and demography of Popillia japonica (Coleoptera) invasion reconstructed using complete mitochondrial genomes.Scientific reports · 2024Article
- Unraveling the mitochondrial phylogenetic landscape of Thailand reveals complex admixture and demographic dynamics.Scientific reports · 2023Article
- The Origin and Maintenance of Tuberculosis Is Explained by the Induction of Smear-Negative Disease in the Paleolithic.Pathogens (Basel, Switzerland) · 2022Article
- Origin of tuberculosis in the Paleolithic predicts unprecedented population growth and female resistance.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The Neolithic transition has led to marked increases in census population sizes across the world, as recorded by a rich archaeological record. However, previous attempts to detect such changes using genetic markers, especially mitochondrial DNA (mtDNA), have mostly been unsuccessful. We use complete mtDNA genomes from over 1700 individuals, from the 1000 Genomes Project Phase 3, to explore changes in populations sizes in five populations for each of four major geographical regions, using a sophisticated coalescent-based Bayesian method (extended Bayesian skyline plots) and mutation rates calibrated with ancient DNA. Despite the power and sophistication of our analysis, we fail to find size changes that correspond to the Neolithic transitions of the study populations. However, we do detect a number of size changes, which tend to be replicated in most populations within each region. These changes are mostly much older than the Neolithic transition and could reflect either population expansion or changes in population structure. Given the amount of migration and population mixing that occurred after these ancient signals were generated, we caution that modern populations will often carry ghost signals of demographic events that occurred far away from their current location.
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