Evidence map›Paper›PMID 26511066›Full record

ArticleJournal of human genetics2016

The paternal ancestry of Uttarakhand does not imitate the classical caste system of India.

Neetu Negi, Rakesh Tamang, Veena Pande, Amrita Sharma, Anish Shah, Alla G Reddy, Satti Vishnupriya, Lalji Singh, Gyaneshwer Chaubey, Kumarasamy Thangaraj

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Article in Journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 25% of its field
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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Comparison of Subjective Sleep Quality of Long-Term Residents at Low and High Altitudes: SARAHA Study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018
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4 · The record

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5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Neetu NegiCSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.
Rakesh TamangDepartment of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Veena PandeDepartment of Biotechnology, Kumaun University, Nainital, Uttarakhand, India.
Amrita SharmaCSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.
Anish ShahCSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.
Alla G ReddyCSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.
Satti VishnupriyaDepartment of Genetics, Osmania University, Hyderabad, India.
Lalji SinghCSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.
Gyaneshwer ChaubeyEstonian Biocentre, Tartu, Estonia.ORCID http://orcid.org/0000-0003-2899-3852
Kumarasamy ThangarajCSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.
Centre for Cellular and Molecular Biology · INKumaun University · INEstonian Biocentre · EEOsmania University · INUniversity of Calcutta · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although, there have been rigorous research on the Indian caste system by several disciplines, it is still one of the most controversial socioscientific topic. Previous genetic studies on the subcontinent have supported a classical hierarchal sharing of genetic component by various castes of India. In the present study, we have used high-resolution mtDNA and Y chromosomal markers to characterize the genetic structuring of the Uttarakhand populations in the context of neighboring regions. Furthermore, we have tested whether the genetic structuring of caste populations at different social levels of this region, follow the classical chaturvarna system. Interestingly, we found that this region showed a high level of variation for East Eurasian ancestry in both maternal and paternal lines of descent. Moreover, the intrapopulation comparison showed a high level of heterogeneity, likely because of different caste hierarchy, interpolated on asymmetric admixture of populations inhabiting on both sides of the Himalayas.

Indexed as

HaplotypesPaternal InheritanceChromosomes, Human, YDNA, MitochondrialFemaleGenetic MarkersGenetics, PopulationGenetic VariationHumansIndiaMaleMaternal InheritanceSocial ClassDNA, MitochondrialGenetic Markers

Identifiers

PMID26511066
OpenAlexW2426725652

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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.