Evidence map›Paper›PMID 23209694›Full record

ArticlePloS one2012

Population differentiation of southern Indian male lineages correlates with agricultural expansions predating the caste system.

Ganeshprasad Arunkumar, David F Soria-Hernanz, Valampuri John Kavitha, Varatharajan Santhakumari Arun, Adhikarla Syama, Kumaran Samy Ashokan, Kavandanpatti Thangaraj Gandhirajan, Koothapuli Vijayakumar, Muthuswamy Narayanan, Mariakuttikan Jayalakshmi and 10 more

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
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  10. Review
  11. Journal of biosciences · 2019
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  12. Article
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  19. Article
  20. Indian craniometric variability and affinities.International journal of evolutionary biology · 2013
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

20 authors.

Ganeshprasad ArunkumarThe Genographic Laboratory, School of Biological Sciences, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
David F Soria-Hernanz
Valampuri John Kavitha
Varatharajan Santhakumari Arun
Adhikarla Syama
Kumaran Samy Ashokan
Kavandanpatti Thangaraj Gandhirajan
Koothapuli Vijayakumar
Muthuswamy Narayanan
Mariakuttikan Jayalakshmi
Janet S Ziegle
Ajay K Royyuru
Laxmi Parida
R Spencer Wells
Colin Renfrew
Theodore G Schurr
Chris Tyler Smith
Daniel E Platt
Ramasamy Pitchappan
Genographic Consortium

Funding

Wellcome TrustWellcome Trust 098051
6 · The paper itself

Abstract

Previous studies that pooled Indian populations from a wide variety of geographical locations, have obtained contradictory conclusions about the processes of the establishment of the Varna caste system and its genetic impact on the origins and demographic histories of Indian populations. To further investigate these questions we took advantage that both Y chromosome and caste designation are paternally inherited, and genotyped 1,680 Y chromosomes representing 12 tribal and 19 non-tribal (caste) endogamous populations from the predominantly Dravidian-speaking Tamil Nadu state in the southernmost part of India. Tribes and castes were both characterized by an overwhelming proportion of putatively Indian autochthonous Y-chromosomal haplogroups (H-M69, F-M89, R1a1-M17, L1-M27, R2-M124, and C5-M356; 81% combined) with a shared genetic heritage dating back to the late Pleistocene (10-30 Kya), suggesting that more recent Holocene migrations from western Eurasia contributed <20% of the male lineages. We found strong evidence for genetic structure, associated primarily with the current mode of subsistence. Coalescence analysis suggested that the social stratification was established 4-6 Kya and there was little admixture during the last 3 Kya, implying a minimal genetic impact of the Varna (caste) system from the historically-documented Brahmin migrations into the area. In contrast, the overall Y-chromosomal patterns, the time depth of population diversifications and the period of differentiation were best explained by the emergence of agricultural technology in South Asia. These results highlight the utility of detailed local genetic studies within India, without prior assumptions about the importance of Varna rank status for population grouping, to obtain new insights into the relative influences of past demographic events for the population structure of the whole of modern India.

Indexed as

Chromosomes, Human, YGenetics, PopulationAgricultureDemographyDNA, MitochondrialEthnicityGenetic VariationGeographyHaplotypesHuman MigrationHumansIndiaMaleMicrosatellite RepeatsModels, StatisticalMutationDNA, Mitochondrial

Identifiers

PMID23209694
PMCPMC3508930

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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.