Related Experiment Video
Updated: Apr 30, 2026

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
Published on: February 10, 2023
Quantitative assessment of heteroplasmy of mitochondrial genome: perspectives in diagnostics and methodological
Igor A Sobenin1, Konstantin Y Mitrofanov2, Andrey V Zhelankin1
1Laboratory of Medical Genetics, Russian Cardiology Research and Production Complex, Moscow 121552, Russia ; Laboratory of Cellular Mechanisms of Atherogenesis, Institute of General Pathology and Pathophysiology, Moscow 125315, Russia.
Abstract:
The role of alterations of mitochondrial DNA (mtDNA) in the development of human pathologies is not understood well. Most of mitochondrial mutations are characterized by the phenomenon of heteroplasmy which is defined as the presence of a mixture of more than one type of an organellar genome within a cell or tissue. The level of heteroplasmy varies in wide range, and the expression of disease is dependent on the percent of alleles bearing mutations, thus allowing consumption that an upper threshold level may exist beyond which the mitochondrial function collapses. Recent findings have demonstrated that some mtDNA heteroplasmic mutations are associated with widely spread chronic diseases, including atherosclerosis and cancer. Actually, each etiological mtDNA mutation has its own heteroplasmy threshold that needs to be measured. Therefore, quantitative evaluation of a mutant allele of mitochondrial genome is an obvious methodological challenge, since it may be a keystone for diagnostics of individual genetic predisposition to the disease. This review provides a comprehensive comparison of methods applicable to the measurement of heteroplasmy level of mitochondrial mutations associated with the development of pathology, in particular, in atherosclerosis and its clinical manifestations.
Insights
Mitochondrial DNA (mtDNA) heteroplasmy, the mix of genomes in a cell, is linked to chronic diseases like atherosclerosis. Measuring mtDNA mutation levels is crucial for diagnosing genetic predisposition to these conditions.
Area of Science:
- Genetics
- Molecular Biology
- Pathology
Background:
- Mitochondrial DNA (mtDNA) alterations are implicated in human diseases, but their role is not fully understood.
- Heteroplasmy, the coexistence of multiple mtDNA types within a cell, is common in mitochondrial mutations.
- Disease expression often depends on the heteroplasmy level, suggesting a critical threshold for mitochondrial dysfunction.
Purpose of the Study:
- To review and compare methods for quantifying mitochondrial heteroplasmy.
- To highlight the importance of measuring heteroplasmy for diagnosing genetic predisposition to pathologies.
- To focus on atherosclerosis and its clinical manifestations as key examples.
Main Methods:
- This review compares various quantitative methods for measuring mtDNA heteroplasmy.
- The focus is on techniques applicable to clinical diagnostics and research.
- Specific attention is given to methods suitable for analyzing mutations associated with atherosclerosis.
Main Results:
- Quantitative evaluation of mutant mtDNA alleles presents a methodological challenge.
- Accurate measurement of heteroplasmy levels is essential for understanding disease mechanisms.
- Certain mtDNA heteroplasmic mutations are associated with chronic diseases like atherosclerosis and cancer.
Conclusions:
- Understanding and accurately measuring mtDNA heteroplasmy is critical for diagnosing genetic predispositions to diseases.
- The development of reliable diagnostic tools for heteroplasmy is a key area of research.
- This review provides a comparative overview of current methodologies for heteroplasmy assessment.

