Skip to main content
SpringerLink
Log in

Assessment of genetic polymorphism at 20 autosomal STR loci in scheduled caste population of Himachal Pradesh

  • Population Data
  • Published:
International Journal of Legal Medicine Aims and scope Submit manuscript

Abstract

In this study, we evaluated the genetic diversity indices and forensic parameters of scheduled caste population of Himachal Pradesh, India, at 20 autosomal STR loci. Altogether, 233 alleles were observed with an average of 11.65 ± 0.88 alleles per locus. In exception of locus D13S317, no loci deviated from Hardy Weinberg equilibrium. Locus Penta E was found to be the most polymorphic and discriminative loci. The combined power of discrimination and the combined power of exclusion were 1 and 0.999. Further, we established the phylogenetic relationship between the scheduled caste population of Himachal Pradesh and 14 other populations of India. We found 20 autosomal STR loci used in the present study were polymorphic and can be used in population genetic studies and forensic related case works.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Scheduled caste welfare in India. http://vikaspedia.in/social-welfare/scheduled-caste-welfare-1/scheduled-caste-welfare-in-india/. Accessed 01.08.2019

  2. Census of India. 2011. http://censusindia.gov.in/. Accessed 01.08.2019

  3. Census of India. 2001. http://censusindia.gov.in/. Accessed 01.08.2019

  4. Gouy A, Zieger M (2017) STRAF-A convenient online tool for STR data evaluation in forensic genetics. Forensic Sci Int Gene 30:148–151

    Article  CAS  Google Scholar 

  5. Excoffier L, Lischer HEL (2010) ARLEQUIN suite ver. 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10:564–567

    Article  Google Scholar 

  6. Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetics software for teaching and research-an update. Bioinformatics. 28:2537–2539

    Article  CAS  Google Scholar 

  7. Takezaki N, Nei M, Tamura K (2009) POPTREE2: software for constructing population trees from allele frequency data and computing other population statistics with Windows-interface. Mol Biol Evol 27:747–752

    Article  Google Scholar 

  8. Hammer O, Harper DAT, Ryan PD (2001) PAST: Palaeontological Statistics software package for education and data analysis. Palaeontologia Electronica 4:9

    Google Scholar 

  9. Bland JM, Altman DG (1995) Multiple significance tests: the Bonferroni method. Brit Med J 310:170

    Article  CAS  Google Scholar 

  10. Poetsch M, Bajanowski T, Pfeiffer H (2012) The publication of population genetic data in the International Journal of Legal Medicine: guidelines. Int J Legal Med 126:489–490

    Article  Google Scholar 

Download references

Acknowledgements

We thank all sample donors for their contribution to this work.

Author information

Author notes

  1. Vivek Sahajpal and Abhishek Singh contributed equally to this work.

Authors and Affiliations

  1. State Forensic Science Laboratory, Directorate of Forensics Services, Junga, Shimla, Himachal Pradesh, 171218, India

    Vivek Sahajpal & Arun Sharma

  2. Zoological Survey of India, New Alipore, Kolkata, West Bengal, 700 053, India

    Abhishek Singh, Mukesh Thakur & Kailash Chandra

  3. Gujarat Forensic Sciences University, Gandhinagar, Gujarat, 382007, India

    Satish Kumar

Authors
  1. Vivek Sahajpal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abhishek Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mukesh Thakur
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Arun Sharma
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Kailash Chandra
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Satish Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Vivek Sahajpal or Mukesh Thakur.

Ethics declarations

The study was conducted in compliance with ethical standards. All the procedures prior to their implementation were approved by the Ethical Committee of State Forensic Science Laboratory, Directorate of Forensic Services, Shimla, Himachal Pradesh.

Conflict of interest

The authors declare that they have no conflict of interest.

Quality assurance

The State Forensic Science Laboratory of the Directorate of Forensics Services, Himachal Pradesh, is an ISO/IEC 17025; 2005 accredited laboratory and participates regularly in quality assurance exercises conducted by GITAD.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 130 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sahajpal, V., Singh, A., Thakur, M. et al. Assessment of genetic polymorphism at 20 autosomal STR loci in scheduled caste population of Himachal Pradesh. Int J Legal Med 134, 1329–1330 (2020). https://doi.org/10.1007/s00414-019-02204-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00414-019-02204-z

Keywords

Search

Navigation