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Updated: May 9, 2025

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
Published on: February 10, 2023
Haplogroup Structure and Genetic Variation Analyses of Mitochondrial Genome SNPs in the Iranian Population
Masoumeh Ghasemi1, Marzieh Mohseni1, Zohreh Fattahi1
1Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Background:
Mitochondrial DNA (mtDNA) is a valuable marker for population studies and forensic investigations. Recent advancements in massively parallel sequencing technologies enable whole mitochondrial genome sequencing. This study collected blood samples from unrelated Iranian participants from four ethnic groups: Persian, Kurd, Lur, and Azeri. We mapped mtDNA haplogroups according to genetic ancestry and investigated the ethnic similarities within the Iranian population.
Methods:
Complete mtDNA sequences were generated with targeted mtDNA sequencing method and haplogroups were determined on the base of mitogenome polymorphisms. Additionally, we used data from the whole exome sequencing (WES) of the current samples to compare the variants identified by two different mitochondrial testing methods. Principal component analysis (PCA) calculations were performed using the R software to determine diversity between unrelated individuals of various ethnicities.
Results:
A total of 129 sub-haplogroups were identified in 15 main haplogroups. The findings revealed high frequencies of haplogroups U and H (22.4% and 20.3%, respectively) in the Iranian population. The PCA scatter plots revealed overlapping diversity, with no distinct trends separating the groups in these four groups within the Iranian population. In the present samples, the WES method identified only 57.8% of the variants detected by the targeted mtDNA sequencing method.
Conclusion:
Variant studies do not show much difference, which indicate a small genetic difference between the central ethnic groups of Iran. Furthermore, comparing the targeted whole mitochondrial genome to mitochondrial data from WES in our study samples highlights the notion that targeted entire mitochondrial genome is a gold standard method for variant detection.
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