Evaluation and comparison of population genetics software in Rabari Tribe of Gujarat population

Mishra, Aditi, Kumari, Archana, Choudhary, Sumit and Gondhali, Ulhas (2021) Evaluation and comparison of population genetics software in Rabari Tribe of Gujarat population. Egyptian Journal of Forensic Sciences, 11 (1): 26. pp. 1-12. ISSN 2090536X

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Today, when forensic experts talk about quantifiable hereditary traits, they do not just depend on the assessment and examination of DNA profiles but also relate them to the population structures. The use of highthroughput molecular marker technologies and advanced statistical and software tools have improved the accuracy of human genetic diversity analysis in many populations with limited time and resources. The present study aimed to investigate the genomic diversity in Gujarat’s Rabari population, using 20 autosomal genetic markers. Numerous bio-statistical software programs are available for the interpretation of population data in forensics. These statistics deal with the measurement of uncertainty and also provides a probability of a random match. The present paper aims to provide a practical guide to the analysis of population genetics data. Three statistical software packages named Cervus, Genepop, and Fstat are compared and contrasted. The comparison is performed on the profiles obtained from fifty unrelated blood samples of healthy male individuals. DNA was extracted using the organic extraction method, 20 autosomal STR loci were amplified using PowerPlex 21 kit (Promega, Madison, WI, USA) and detected on 3100 Genetic Analyser (Life Technologies Corporation, Carlsbad, CA, USA).

Item Type: Article
Keywords: Population study | Forensic genetics | Cervus | Genepop | Fstat
Subjects: Social Sciences and humanities > Psychology
JGU School/Centre: Jindal Institute of Behavioural Sciences
Depositing User: Amees Mohammad
Date Deposited: 25 Nov 2021 08:45
Last Modified: 09 Dec 2021 08:23
Official URL: https://doi.org/10.1186/s41935-021-00239-1
Additional Information: Aditi Mishra and Ulhas Gondhali contributed equally to this work
URI: https://pure.jgu.edu.in/id/eprint/56


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