Evidence map›Paper›PMID 28335724›Full record

ArticleBMC evolutionary biology2017

A genetic chronology for the Indian Subcontinent points to heavily sex-biased dispersals.

Marina Silva, Marisa Oliveira, Daniel Vieira, Andreia Brandão, Teresa Rito, Joana B Pereira, Ross M Fraser, Bob Hudson, Francesca Gandini, Ceiridwen Edwards and 6 more

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  5. Reconstructing the population history of the Nicobarese.European journal of human genetics : EJHG · 2024
    Article
  6. Article
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  12. Ancient DNA at the edge of the world: Continental immigration and the persistence of Neolithic male lineages in Bronze Age Orkney.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Article
  15. Mitogenomics of modern Mongolic-speaking populations.Molecular genetics and genomics : MGG · 2022
    Article
  16. Fitness and Power: The Contribution of Genetics to the History of Differential Reproduction.Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior · 2021
    Article
  17. Article
  18. Article
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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

16 authors.

Marina SilvaDepartment of Biological Sciences, School of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.
Marisa Oliveirai3S (Instituto de Investigação e Inovação em Saúde, Universidade do Porto), R. Alfredo Allen 208, 4200-135, Porto, Portugal.
Daniel VieiraDepartment of Informatics, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
Andreia Brandãoi3S (Instituto de Investigação e Inovação em Saúde, Universidade do Porto), R. Alfredo Allen 208, 4200-135, Porto, Portugal.
Teresa Ritoi3S (Instituto de Investigação e Inovação em Saúde, Universidade do Porto), R. Alfredo Allen 208, 4200-135, Porto, Portugal.
Joana B Pereirai3S (Instituto de Investigação e Inovação em Saúde, Universidade do Porto), R. Alfredo Allen 208, 4200-135, Porto, Portugal.
Ross M FraserCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland, UK.
Bob HudsonArchaeology Department, University of Sydney, Sydney, NSW, 2006, Australia.
Francesca GandiniDepartment of Biological Sciences, School of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.
Ceiridwen EdwardsDepartment of Biological Sciences, School of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.
Maria PalaDepartment of Biological Sciences, School of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.
John KochUniversity of Wales Centre for Advanced Welsh and Celtic Studies, National Library of Wales, Aberystwyth, SY23 3HH, Wales, UK.
James F WilsonCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland, UK.
Luísa Pereirai3S (Instituto de Investigação e Inovação em Saúde, Universidade do Porto), R. Alfredo Allen 208, 4200-135, Porto, Portugal.
Martin B RichardsDepartment of Biological Sciences, School of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK. m.b.richards@hud.ac.uk.
Pedro SoaresIPATIMUP (Instituto de Patologia e Imunologia Molecular da Universidade do Porto), Rua Júlio Amaral de Carvalho 45, 4200-135, Porto, Portugal. pedrosoares@bio.uminho.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndia is a patchwork of tribal and non-tribal populations that speak many different languages from various language families. Indo-European, spoken across northern and central India, and also in Pakistan and Bangladesh, has been frequently connected to the so-called "Indo-Aryan invasions" from Central Asia ~3.5 ka and the establishment of the caste system, but the extent of immigration at this time remains extremely controversial. South India, on the other hand, is dominated by Dravidian languages. India displays a high level of endogamy due to its strict social boundaries, and high genetic drift as a result of long-term isolation which, together with a very complex history, makes the genetic study of Indian populations challenging.

resultsWe have combined a detailed, high-resolution mitogenome analysis with summaries of autosomal data and Y-chromosome lineages to establish a settlement chronology for the Indian Subcontinent. Maternal lineages document the earliest settlement ~55-65 ka (thousand years ago), and major population shifts in the later Pleistocene that explain previous dating discrepancies and neutrality violation. Whilst current genome-wide analyses conflate all dispersals from Southwest and Central Asia, we were able to tease out from the mitogenome data distinct dispersal episodes dating from between the Last Glacial Maximum to the Bronze Age. Moreover, we found an extremely marked sex bias by comparing the different genetic systems.

conclusionsMaternal lineages primarily reflect earlier, pre-Holocene processes, and paternal lineages predominantly episodes within the last 10 ka. In particular, genetic influx from Central Asia in the Bronze Age was strongly male-driven, consistent with the patriarchal, patrilocal and patrilineal social structure attributed to the inferred pastoralist early Indo-European society. This was part of a much wider process of Indo-European expansion, with an ultimate source in the Pontic-Caspian region, which carried closely related Y-chromosome lineages, a smaller fraction of autosomal genome-wide variation and an even smaller fraction of mitogenomes across a vast swathe of Eurasia between 5 and 3.5 ka.

Indexed as

Genetics, PopulationHuman MigrationAsia, WesternChromosomes, Human, YClimateDNA, MitochondrialFemaleGenetic VariationGenome-Wide Association StudyHuman Genome ProjectHumansIndiaMaleDNA, MitochondrialGenome-wideIndian SubcontinentIndo-EuropeanMitochondrial DNANeolithicY chromosome

Identifiers

PMID28335724
PMCPMC5364613

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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.