Evidence map›Paper›PMID 30584109›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo.

Lucy van Dorp, Sara Lowes, Jonathan L Weigel, Naser Ansari-Pour, Saioa López, Javier Mendoza-Revilla, James A Robinson, Joseph Henrich, Mark G Thomas, Nathan Nunn and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. States and their genetic consequences in central Africa.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Lucy van DorpUniversity College London Genetics Institute, University College London, London WC1E 6BT, United Kingdom; lucy.dorp.12@ucl.ac.uk g.hellenthal@ucl.ac.uk.ORCID 0000-0002-6211-2310
Sara LowesDepartment of Economics, Bocconi University, Milan 20100, Italy.
Jonathan L WeigelDepartment of International Development, London School of Economics, London WC2A 2AE, United Kingdom.
Naser Ansari-PourFaculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
Saioa LópezCancer Institute, University College London, WC1E 6DD London, United Kingdom.
Javier Mendoza-RevillaUniversity College London Genetics Institute, University College London, London WC1E 6BT, United Kingdom.
James A RobinsonHarris School of Public Policy, University of Chicago, Chicago, IL 60637.
Joseph HenrichDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138.
Mark G ThomasUniversity College London Genetics Institute, University College London, London WC1E 6BT, United Kingdom.ORCID 0000-0002-2452-981X
Nathan NunnDepartment of Economics, Harvard University, Cambridge, MA 02138.
Garrett HellenthalUniversity College London Genetics Institute, University College London, London WC1E 6BT, United Kingdom; lucy.dorp.12@ucl.ac.uk g.hellenthal@ucl.ac.uk.

Funding

Wellcome TrustWellcome Trust 098386/Z/12/ZWellcome Trust 100719/Z/12/Z
6 · The paper itself

Abstract

Few phenomena have had as profound or long-lasting consequences in human history as the emergence of large-scale centralized states in the place of smaller scale and more local societies. This study examines a fundamental, and yet unexplored, consequence of state formation: its genetic legacy. We studied the genetic impact of state centralization during the formation of the eminent precolonial Kuba Kingdom of the Democratic Republic of the Congo (DRC) in the 17th century. We analyzed genome-wide data from over 690 individuals sampled from 27 different ethnic groups from the Kasai Central Province of the DRC. By comparing genetic patterns in the present-day Kuba, whose ancestors were part of the Kuba Kingdom, with those in neighboring non-Kuba groups, we show that the Kuba today are more genetically diverse and more similar to other groups in the region than expected, consistent with the historical unification of distinct subgroups during state centralization. We also found evidence of genetic mixing dating to the time of the Kingdom at its most prominent. Using this unique dataset, we characterize the genetic history of the Kasai Central Province and describe the historic late wave of migrations into the region that contributed to a Bantu-like ancestry component found across large parts of Africa today. Taken together, we show the power of genetics to evidence events of sociopolitical importance and highlight how DNA can be used to better understand the behaviors of both people and institutions in the past.

Indexed as

Gene FlowHuman GeneticsModels, GeneticDemocratic Republic of the CongoFemaleHumansMaleanthropologydemographic inferencehistorypopulation genetics

Identifiers

PMID30584109
PMCPMC6329964

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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.