ArticleProceedings. Biological sciences2012
Investigating sex-biased migration during the Neolithic transition in Europe, using an explicit spatial simulation framework.
Article in Proceedings. Biological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- The Indian Ocean slave trade and colonial expansion resulted in strong sex-biased admixture in South Africa.American journal of human genetics · 2025Article
- The effect of habitat loss and fragmentation on isolation by distance and divergence.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Simulated patterns of mitochondrial diversity are consistent with partial population turnover in Bronze Age Central Europe.American journal of biological anthropology · 2022Article
- Spatially explicit paleogenomic simulations support cohabitation with limited admixture between Bronze Age Central European populations.Communications biology · 2021Article
- Exploring the Western Mediterranean through X-chromosome.International journal of legal medicine · 2021Article
- Selecting among Alternative Scenarios of Human Evolution by Simulated Genetic Gradients.Genes · 2018Review
- Article
- Tracing the genetic origin of Europe's first farmers reveals insights into their social organization.Proceedings. Biological sciences · 2015Article
- Spatial and temporal simulation of human evolution. Methods, frameworks and applications.Current genomics · 2014Article
- Female and male perspectives on the neolithic transition in Europe: clues from ancient and modern genetic data.PloS one · 2013Article
- Community differentiation and kinship among Europe's first farmers.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
- Evolution of initiation rites during the Austronesian dispersal.Science progressArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cultural practices can deeply influence genetic diversity patterns. The Neolithic transitions that took place at different times and locations around the world led to major cultural and demographic changes that influenced and therefore left their marks on human genetic diversity patterns. Several studies on the European Neolithic transition suggest that mitochondrial DNA (mtDNA) and Y-chromosome data can exhibit different patterns, which could be owing to different demographic histories for females and males. Archaeological and anthropological data suggest that the transition from hunter-gatherers (HGs) to farmers' societies is probably associated with changes in social organization, particularly in post-marital residence (PMR) rules (i.e. patrilocality, matrilocality or bilocality). The movements of humans and genes associated with these rules can be seen as sex-biased short-range migrations. We developed a new individual-based simulation approach to explore the genetic consequences of 45 different scenarios, where we varied the patterns of PMR and admixture between HGs and farmers. We recorded mtDNA and Y-chromosome data and analysed their diversity patterns within and between populations, through time and space. We also collected published mtDNA and Y-chromosome data from European and Near-Eastern populations in order to identify the scenarios that would best explain them. We show that: (i) different PMR systems can lead to different patterns of genetic diversity and differentiation, (ii) asymmetries between mtDNA and Y-chromosome can be owing to different behaviours between males and females, but also to different mutations rates, and (iii) patrilocality in farmers explains the present patterns of genetic diversity better than matrilocality or bilocality. Moreover, we found that (iv) the genetic diversity of farmers change depending on the HGs PMR rules even though they are assumed to disappear more than 5000 years ago in our simulations.
Indexed as
Identifiers
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.