Evidence map›Paper›PMID 27580933›Full record

ArticleScientific reports2016

Genetic Diversity in Gorkhas: an Autosomal STR Study.

Kiran Preet, Seema Malhotra, Pankaj Shrivastava, Toshi Jain, Shweta Rawat, L Robert Varte, Sayar Singh, Inderjeet Singh, Soma Sarkar

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

3 citing papers in PubMed.

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4 · The record

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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

9 authors.

Kiran PreetDefence Institute of Physiology and Allied Sciences, Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India.
Seema MalhotraDefence Institute of Physiology and Allied Sciences, Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India.
Pankaj ShrivastavaState Forensic Science Laboratory, Civil Lines, Sagar, Madhya Pradesh, 470001, India.
Toshi JainState Forensic Science Laboratory, Civil Lines, Sagar, Madhya Pradesh, 470001, India.
Shweta RawatDefence Institute of Physiology and Allied Sciences, Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India.
L Robert VarteDefence Institute of Physiology and Allied Sciences, Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India.
Sayar SinghDefence Institute of Physiology and Allied Sciences, Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India.
Inderjeet SinghDefence Institute of Physiology and Allied Sciences, Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India.
Soma SarkarDefence Institute of Physiology and Allied Sciences, Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotyping of highly polymorphic autosomal short tandem repeat (STR) markers is a potent tool for elucidating genetic diversity. In the present study, fifteen autosomal STR markers were analyzed in unrelated healthy male Gorkha individuals (n = 98) serving in the Indian Army by using AmpFlSTR Identifiler Plus PCR Amplification Kit. In total, 138 alleles were observed with corresponding allele frequencies ranging from 0.005 to 0.469. The studied loci were in Hardy-Weinberg Equilibrium (HWE). Heterozygosity ranged from 0.602 to 0.867. The most polymorphic locus was Fibrinogen Alpha (FGA) chain which was also the most discriminating locus as expected. Neighbor Joining (NJ) tree and principal component analysis (PCA) plot clustered the Gorkhas with those of Nepal and other Tibeto-Burman population while lowlander Indian population formed separate cluster substantiating the closeness of the Gorkhas with the Tibeto-Burman linguistic phyla. Furthermore, the dataset of STR markers obtained in the study presents a valuable information source of STR DNA profiles from personnel for usage in disaster victim identification in military exigencies and adds to the Indian database of military soldiers and military hospital repository.

Indexed as

Genetic VariationGenome, HumanGenotypeMicrosatellite RepeatsPhylogenyAdultAllelesEthnicityFibrinogenGene FrequencyGenetic LociGenetic MarkersGenetics, PopulationHeterozygoteHumansIndiaFibrinogenfibrinogen AalphaGenetic Markers

Identifiers

PMID27580933
PMCPMC5007509

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