Evidence map›Paper›PMID 26811443›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Genomic reconstruction of the history of extant populations of India reveals five distinct ancestral components and a complex structure.

Analabha Basu, Neeta Sarkar-Roy, Partha P Majumder

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 3 pooled it
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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

97 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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37 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Analabha BasuNational Institute of BioMedical Genomics, NetajiSubhas Sanatorium (Tuberculosis Hospital), Kalyani 741251, West Bengal, India; ppm1@nibmg.ac.in ab1@nibmg.ac.in.
Neeta Sarkar-RoyNational Institute of BioMedical Genomics, NetajiSubhas Sanatorium (Tuberculosis Hospital), Kalyani 741251, West Bengal, India;
Partha P MajumderNational Institute of BioMedical Genomics, NetajiSubhas Sanatorium (Tuberculosis Hospital), Kalyani 741251, West Bengal, India; Human Genetics Unit, Indian Statistical Institute, Kolkata 700108, West Bengal, India ppm1@nibmg.ac.in ab1@nibmg.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India, occupying the center stage of Paleolithic and Neolithic migrations, has been underrepresented in genome-wide studies of variation. Systematic analysis of genome-wide data, using multiple robust statistical methods, on (i) 367 unrelated individuals drawn from 18 mainland and 2 island (Andaman and Nicobar Islands) populations selected to represent geographic, linguistic, and ethnic diversities, and (ii) individuals from populations represented in the Human Genome Diversity Panel (HGDP), reveal four major ancestries in mainland India. This contrasts with an earlier inference of two ancestries based on limited population sampling. A distinct ancestry of the populations of Andaman archipelago was identified and found to be coancestral to Oceanic populations. Analysis of ancestral haplotype blocks revealed that extant mainland populations (i) admixed widely irrespective of ancestry, although admixtures between populations was not always symmetric, and (ii) this practice was rapidly replaced by endogamy about 70 generations ago, among upper castes and Indo-European speakers predominantly. This estimated time coincides with the historical period of formulation and adoption of sociocultural norms restricting intermarriage in large social strata. A similar replacement observed among tribal populations was temporally less uniform.

Indexed as

Genetics, PopulationGenome, HumanPhylogenyEthnicityGene PoolGenetic VariationGenotypeGeographyHumansIndiaIslandsLinguisticsModels, GeneticPrincipal Component AnalysisTime Factorsadmixtureancestryendogamyhaplotype blockssocial stratification

Identifiers

PMID26811443
PMCPMC4760789

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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.