Evidence map›Paper›PMID 42157859›Full record

ArticleAnthropological science : journal of the Anthropological Society of Nippon = Jinruigaku zasshi2024

Male-driven admixture facilitated subsistence shift in northern China.

Shigeki Nakagome, Niall P Cooke

Abstract read
In one paragraph

Article in Anthropological science : journal of the Anthropological Society of Nippon = Jinruigaku zasshi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Preface to the special issue on Anthropology in the Dawn of Chinese Civilization.Anthropological science : journal of the Anthropological Society of Nippon = Jinruigaku zasshi · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shigeki NakagomeSchool of Medicine, Trinity College Dublin, Dublin, D02 PN40, Ireland.
Niall P CookeSchool of Medicine, Trinity College Dublin, Dublin, D02 PN40, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agriculture was arguably the most profound innovation in human history, and while it eventually spread throughout the planet its specific origins and dispersals are unique across different regions. It is therefore important to take into account diverse geographic and cultural contexts when trying to understand independent transitions to farming in different regions. In recent years, there has been a significant increase in sequencing ancient human genomes, enabling more regionally specific questions to be asked regarding the genetic impact of the local adoption of agriculture. One particularly informative approach is to explore the imbalance of genetic admixture from male versus female sources, which offers valuable insights into the social structures and cultural interactions of prehistoric populations. Here, we utilize publicly available data of ancient genomes from northern China, an area that is well known for one of the earliest centres for agricultural revolution, to look at potential sex biases in genetic admixture from different time periods based on autosomal and sex-specifically inherited X chromosomal variation. Our analysis identifies a higher influx of males from the Yellow River basin to the West Liao River basin during the Late Neolithic period associated with an increase in the reliance on millet farming in this region. This result underscores a distinction in farming transitions in northern China, particularly when compared to agricultural transitions in Europe, where there is no evidence of sex-biased admixture.

Indexed as

agricultural transitionsancient DNAautosomesNeolithic ChinaX chromosome

Identifiers

PMID42157859
PMCPMC13134061

What OpenQuestion holds

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Registered trials

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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.