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The aetiology of cardiovascular disease: a role for mitochondrial DNA?
Marianne Venter1, Francois H van der Westhuizen1, Joanna L Elson2
1Human Metabolomics, North-West University, Potchefstroom, South Africa.
Insights
Mitochondrial DNA (mtDNA) variation is a potential genetic risk factor for cardiovascular disease (CVD), especially in Africa. New methods are proposed to better study mtDNA
Area of Science:
- Genetics
- Cardiology
- Mitochondrial Biology
Background:
- Cardiovascular disease (CVD) is a leading cause of death globally, with increasing incidence in Africa.
- Mitochondrial dysfunction is implicated in the development of CVD.
- Mitochondrial DNA (mtDNA) variation is a potential genetic risk factor for complex diseases.
Purpose of the Study:
- To review the role of mitochondrial dysfunction and mtDNA variation in CVD aetiology.
- To evaluate current methods for investigating mtDNA in complex diseases.
- To propose improved methodologies for studying mtDNA variation in CVD, particularly in African populations.
Main Methods:
- Literature review of studies on mitochondrial dysfunction and CVD.
- Critical analysis of current approaches for mtDNA variation analysis in complex diseases.
- Proposal of the adjusted mutational load hypothesis as a statistically powerful alternative.
Main Results:
- Current methods for studying mtDNA in complex diseases have limitations, including population stratification.
- The adjusted mutational load hypothesis offers enhanced statistical power for moderate-sized cohorts.
- Specific challenges exist for mtDNA variation studies in African populations.
Conclusions:
- mtDNA variation is a viable genetic risk factor for CVD that warrants further investigation.
- The adjusted mutational load hypothesis provides a more robust framework for analyzing mtDNA variation.
- Viable methods for studying mtDNA variation in African populations are recommended to advance CVD research.
Abstract:
Cardiovascular disease (CVD) is a world-wide cause of mortality in humans and its incidence is on the rise in Africa. In this review, we discuss the putative role of mitochondrial dysfunction in the aetiology of CVD and consequently identify mitochondrial DNA (mtDNA) variation as a viable genetic risk factor to be considered. We then describe the contribution and pitfalls of several current approaches used when investigating mtDNA in relation to complex disease. We also propose an alternative approach, the adjusted mutational load hypothesis, which would have greater statistical power with cohorts of moderate size, and is less likely to be affected by population stratification. We therefore address some of the shortcomings of the current haplogroup association approach. Finally, we discuss the unique challenges faced by studies done on African populations, and recommend the most viable methods to use when investigating mtDNA variation in CVD and other common complex disease.
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