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An evaluation of inter and intra population structure of Uttar Pradesh, inferred from 24 autosomal STRs.

Ikramul HaqueShivani DixitAkash KumarAkshay KumarSunita VermaDevinder KumarAnkit SrivastavaRamkishan KumawatDivya ShrivastavaGyaneshwer ChaubeyPankaj Shrivastava
Published in: Annals of human biology (2021)
Aim: Present study was designed to explore the STR diversity and genomic history of the inhabitants of the most populous subdivision of the country. A set of 24 hyper variable autosomal STRs was used to estimate the genetic diversity within the studied population. A panel of 15 autosomal STRs, which is most common in the previously reported data sets, was used to estimate the genetic diversity between the studied population and obtained unique relations were reported here.Method: The genetic diversity and polymorphism among 636 individuals of different ethnic groups, residing in Bareilly, Pilibhit, Shahjahanpur, Gorakhpur, Jhansi and Varanasi regions of Uttar Pradesh, India was investigated. This investigation was carried out via 24 autosomal STRs.Result: Studied 24 loci showed the highest value of combined power of discrimination (CPD =1), combined power of exclusion (CPE =0.99999999985), combined paternity index (CPI =6.10x109) and lowest combined matching probability (CPM =7.90x10-31).Conclusion: Studied population showed the genetic closeness with the population of Uttarakhand, Jats of Delhi, Jat Sikh (Punjab) and population of Rajasthan. The locus SE33 and Penta E was found to be most useful in the terms of highest discrimination power, lowest matching probability, highest power of exclusion and highest polymorphism information content for Uttar Pradesh population among the tested loci.
Keyphrases
  • genetic diversity
  • healthcare
  • machine learning
  • gene expression
  • dna methylation
  • solid state