Evidence map›Paper›PMID 25398783›Full record

ArticleGenome biology and evolution2014

Extensive copy number variations in admixed Indian population of African ancestry: potential involvement in adaptation.

Ankita Narang, Pankaj Jha, Dhirendra Kumar, Rintu Kutum, Anupam Kumar Mondal, Indian Genome Variation Consortium, Debasis Dash, Mitali Mukerji

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Article in Genome biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 30% 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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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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Ankita NarangG.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Pankaj JhaGenomics and Molecular Medicine, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Dhirendra KumarG.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Rintu KutumG.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Anupam Kumar MondalG.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Indian Genome Variation Consortium
Debasis DashG.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Mitali MukerjiG.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India Genomics and Molecular Medicine, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Institute of Genomics and Integrative Biology · INCouncil of Scientific and Industrial Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Admixture mapping has been enormously resourceful in identifying genetic variations linked to phenotypes, adaptation, and diseases. In this study through analysis of copy number variable regions (CNVRs), we report extensive restructuring in the genomes of the recently admixed African-Indian population (OG-W-IP) that inhabits a highly saline environment in Western India. The study included subjects from OG-W-IP (OG), five different Indian and three HapMap populations that were genotyped using Affymetrix version 6.0 arrays. Copy number variations (CNVs) detected using Birdsuite were used to define CNVRs. Population structure with respect to CNVRs was delineated using random forest approach. OG genomes have a surprising excess of CNVs in comparison to other studied populations. Individual ancestry proportions computed using STRUCTURE also reveals a unique genetic component in OGs. Population structure analysis with CNV genotypes indicates OG to be distant from both the African and Indian ancestral populations. Interestingly, it shows genetic proximity with respect to CNVs to only one Indian population IE-W-LP4, which also happens to reside in the same geographical region. We also observe a significant enrichment of molecular processes related to ion binding and receptor activity in genes encompassing OG-specific CNVRs. Our results suggest that retention of CNVRs from ancestral natives and de novo acquisition of CNVRs could accelerate the process of adaptation especially in an extreme environment. Additionally, this population would be enormously useful for dissecting genes and delineating the involvement of CNVs in salt adaptation.

Indexed as

Adaptation, PhysiologicalDNA Copy Number VariationsGenome, HumanBlack PeopleHumansIndiaPopulationadaptationadmixtureAfrican-IndianCNVspopulation structureselection

Identifiers

PMID25398783
PMCPMC4986450
OpenAlexW1988614825

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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.