Evidence map›Paper›PMID 34853383›Full record

ArticleScientific reports2021

Sequence variations, flanking region mutations, and allele frequency at 31 autosomal STRs in the central Indian population by next generation sequencing (NGS).

Hirak Ranjan Dash, Kamlesh Kaitholia, R K Kumawat, Anil Kumar Singh, Pankaj Shrivastava, Gyaneshwer Chaubey, Surajit Das

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

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

11 citing papers in PubMed, 19 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

7 authors at 3 institutions in 1 country.

Hirak Ranjan DashDNA Fingerprinting Unit, Integrated High-Tech Complex, Forensic Science Laboratory, Bhopal, Madhya Pradesh, 462003, India. hirakdash@gmail.com.
Kamlesh KaitholiaDNA Fingerprinting Unit, Integrated High-Tech Complex, Forensic Science Laboratory, Bhopal, Madhya Pradesh, 462003, India.
R K KumawatDNA Division, State Forensic Science Laboratory, Jaipur, Rajasthan, 302016, India.
Anil Kumar SinghDNA Fingerprinting Unit, Integrated High-Tech Complex, Forensic Science Laboratory, Bhopal, Madhya Pradesh, 462003, India.
Pankaj ShrivastavaDNA Fingerprinting Unit, State Forensic Science Laboratory, Sagar, Madhya Pradesh, 769001, India.
Gyaneshwer ChaubeyCytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, 221005, India.
Surajit DasDepartment of Life Science, National Institute of Technology, Rourkela, Odisha, 470001, India.
Central Forensic Science Laboratory · INBanaras Hindu University · INNational Institute of Technology Rourkela · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capillary electrophoresis-based analysis does not reflect the exact allele number variation at the STR loci due to the non-availability of the data on sequence variation in the repeat region and the SNPs in flanking regions. Herein, this study reports the length-based and sequence-based allelic data of 138 central Indian individuals at 31 autosomal STR loci by NGS. The sequence data at each allele was compared to the reference hg19 sequence. The length-based allelic results were found in concordance with the CE-based results. 20 out of 31 autosomal STR loci showed an increase in the number of alleles by the presence of sequence variation and/or SNPs in the flanking regions. The highest gain in the heterozygosity and allele numbers was observed in D5S2800, D1S1656, D16S539, D5S818, and vWA. rs25768 (A/G) at D5S818 was found to be the most frequent SNP in the studied population. Allele no. 15 of D3S1358, allele no. 19 of D2S1338, and allele no. 22 of D12S391 showed 5 isoalleles each with the same size and with different intervening sequences. Length-based determination of the alleles showed Penta E to be the most useful marker in the central Indian population among 31 STRs studied; however, sequence-based analysis advocated D2S1338 to be the most useful marker in terms of various forensic parameters. Population genetics analysis showed a shared genetic ancestry of the studied population with other Indian populations. This first-ever study to the best of our knowledge on sequence-based STR analysis in the central Indian population is expected to prove the use of NGS in forensic case-work and in forensic DNA laboratories.

Indexed as

Genetics, PopulationHigh-Throughput Nucleotide SequencingSequence Analysis, DNAAdultFemaleForensic GeneticsGene FrequencyHumansIndiaMale

Identifiers

PMID34853383
PMCPMC8636586
OpenAlexW3216302449

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