Evidence map›Paper›PMID 30526867›Full record

ArticleAmerican journal of human genetics2018

The Genetic Ancestry of Modern Indus Valley Populations from Northwest India.

Ajai K Pathak, Anurag Kadian, Alena Kushniarevich, Francesco Montinaro, Mayukh Mondal, Linda Ongaro, Manvendra Singh, Pramod Kumar, Niraj Rai, Jüri Parik and 7 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Trial
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  10. Review
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  12. Ancestral Origins and Admixture History of Kazakhs.Molecular biology and evolution · 2024
    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

17 authors.

Ajai K PathakEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia. Electronic address: ajaipathak@gmail.com.
Anurag Kadian5 Ror Colony, behind Sector 7, Karnal, Haryana 132001, India.
Alena KushniarevichEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Institute of Genetics and Cytology, National Academy of Sciences of Belarus, Minsk 220072, Belarus.
Francesco MontinaroEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Zoology, University of Oxford, South Parks Road, OX1 3PS Oxford, UK.
Mayukh MondalEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Linda OngaroEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Manvendra SinghMax-Delbrueck Centre for Molecular Medicine in the Helmholtz Association, Berlin-Buch 13125, Germany.
Pramod KumarApplied Molecular Biology Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi 110029, India.
Niraj RaiBirbal Sahni Institute of Palaeosciences, Lucknow 226007, India.
Jüri ParikEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Ene MetspaluEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Siiri RootsiEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Luca PaganiEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; APE Lab, Department of Biology, University of Padova, Padova 35131, Italy.
Toomas KivisildEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Human Genetics, KU Leuven, Leuven 3000, Belgium.
Mait MetspaluEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Gyaneshwer ChaubeyEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi 221005, India. Electronic address: gyaneshwer.chaubey@bhu.ac.in.
Richard VillemsEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Indus Valley has been the backdrop for several historic and prehistoric population movements between South Asia and West Eurasia. However, the genetic structure of present-day populations from Northwest India is poorly characterized. Here we report new genome-wide genotype data for 45 modern individuals from four Northwest Indian populations, including the Ror, whose long-term occupation of the region can be traced back to the early Vedic scriptures. Our results suggest that although the genetic architecture of most Northwest Indian populations fits well on the broader North-South Indian genetic cline, culturally distinct groups such as the Ror stand out by being genetically more akin to populations living west of India; such populations include prehistorical and early historical ancient individuals from the Swat Valley near the Indus Valley. We argue that this affinity is more likely a result of genetic continuity since the Bronze Age migrations from the Steppe Belt than a result of recent admixture. The observed patterns of genetic relationships both with modern and ancient West Eurasians suggest that the Ror can be used as a proxy for a population descended from the Ancestral North Indian (ANI) population. Collectively, our results show that the Indus Valley populations are characterized by considerable genetic heterogeneity that has persisted over thousands of years.

Indexed as

AsiaEmigration and ImmigrationEthnicityGenetics, PopulationGenetic VariationGenome-Wide Association StudyGenotypeGeographyHumansIndiaaDNAancestral North IndianautosomesHarappan civilizationIndus-ValleyKurukshetramtDNARorSouth AsiaY chromosome

Identifiers

PMID30526867
PMCPMC6288199

What OpenQuestion holds

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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.