Related Experiment Video
Updated: Nov 24, 2025

A Noninvasive Hair Sampling Technique to Obtain High Quality DNA from Elusive Small Mammals
Published on: March 13, 2011
The genetic composition of Shina population from Gilgit-Baltistan, Pakistan based on mtDNA analyses
Mah Noor Mumtaz1, Haleema Ihsan1, Shahid Aziz1
1Department of Biochemistry, Abdul Wali Khan University, Mardan 23200, Khyber Pakhtunkhwa, Pakistan.
Abstract:
The present study aimed to gain insight into the genetic origin of the Shina population from Gilgit-Baltistan, Pakistan. We partially performed the mitochondrial DNA (mtDNA) control region of healthy unrelated individuals of Shina tribe residing in the remote area of Gilgit-Baltistan to investigate their maternal lineages. The present study is the first report about Shina's genetic structure, origin, and relationship with the surrounding north-western Pakistani population. The mtDNA sequences of the Shina samples were compared with the revised Cambridge Reference Sequence (rCRS) and the HVR-1 D-loop region was covered. The comparison with rCRS identified overall 38 haplotypes and 08 haplogroups for Shina samples. Among these haplotypes, 18 were shared by more than one individual of the Shina tribe. The obtained mtDNA sequences of Shina were compared with surrounding north-western Pakistani population groups, i.e. Kho, Kashmiri, and Pathan. The genetic diversity (i.e. 1.0424) and power of discrimination (i.e. 0.9266) of the Shina was found equivalent to surrounding north-western groups. The haplogroups frequencies, phylogenetic tree and network analysis identified the west Eurasian ancestral origin of Shina group with nearby maternal ancestral relationships with the Kashmiri population. However, no close genetic relationship of Shina was depicted with nearby residing Kho population group.
Related Concept Videos
Animal Mitochondrial Genetics
What is Population Genetics?
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes
Evolutionary Relationships through Genome Comparisons
Incomplete Dominance
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....

