Venter Marianne, van der Westhuizen Francois H, Elson Joanna L
Human Metabolomics, North-West University, Potchefstroom, South Africa. Email:
Human Metabolomics, North-West University, Potchefstroom, South Africa.
Cardiovasc J Afr. 2018;29(2):122-132. doi: 10.5830/CVJA-2017-037. Epub 2017 Aug 25.
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.
心血管疾病(CVD)是全球人类死亡的一个原因,其发病率在非洲呈上升趋势。在本综述中,我们讨论线粒体功能障碍在CVD病因学中的假定作用,并因此将线粒体DNA(mtDNA)变异确定为一个需要考虑的可行遗传风险因素。然后,我们描述了当前在研究mtDNA与复杂疾病关系时使用的几种方法的贡献和缺陷。我们还提出了一种替代方法,即调整后的突变负荷假说,该假说在中等规模队列中具有更大的统计效力,并且受人群分层影响的可能性较小。因此,我们解决了当前单倍群关联方法的一些缺点。最后,我们讨论了针对非洲人群开展的研究面临的独特挑战,并推荐了在研究CVD和其他常见复杂疾病中的mtDNA变异时最可行的方法。