Institute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, NE1 3BZ, UK.
School of Computing, Newcastle University, Newcastle-upon-Tyne, NE4 5TG, UK.
J Mol Evol. 2018 Jul;86(6):395-403. doi: 10.1007/s00239-018-9855-7. Epub 2018 Jul 9.
Mitochondrial diseases are a highly complex, heterogeneous group of disorders. Mitochondrial DNA variants that are linked to disease can exhibit variable expression and penetrance. This has an implication for mitochondrial diagnostics as variants that cause disease in one individual may not in another. It has been suggested that the sequence context in which a variant arises could influence the genotype-phenotype relationship. However, the consequence of sequence variation between different haplogroups on the expression of disease is not well understood. European haplogroups are the most widely studied. To ensure accurate diagnostics for patients globally, we first need to understand how, if at all, the sequence context in which a variant arises contributes to the manifestion of disease. To help us understand this, we used 2752 sequences from 33 non-human species that do not have disease. We searched for variants in the seven complex I genes that are associated with disease in humans. Our findings indicate that only three reported pathogenic complex I variants have arisen in these species. More importantly, only one of these, m.3308T>C, has arisen with its associated amino acid change in the studied non-human species. With the status of m.3308T>C as a disease causing variant being a matter of debate. This is a stark contrast to previous findings in the mitochondrial tRNA genes and suggests that sequence context may be less important in the complex I genes. This information will help us improve the identification and diagnosis of mitochondrial DNA variants in non-European populations.
线粒体疾病是一组高度复杂、异质性的疾病。与疾病相关的线粒体 DNA 变体表现出可变的表达和外显率。这对线粒体诊断有影响,因为在一个个体中引起疾病的变体在另一个个体中可能不会引起疾病。有人认为,变体出现的序列背景可能会影响基因型-表型关系。然而,不同单倍群之间序列变异对疾病表达的影响尚不清楚。欧洲单倍群是研究最多的。为了确保全球患者的准确诊断,我们首先需要了解变体出现的序列背景是否以及如何导致疾病的发生。为了帮助我们理解这一点,我们使用了来自 33 种没有疾病的非人类物种的 2752 个序列。我们在与人类疾病相关的七个复合体 I 基因中搜索变体。我们的研究结果表明,只有三种已报道的致病性复合体 I 变体在这些物种中出现。更重要的是,在研究的非人类物种中,只有一个变体 m.3308T>C 与其相关的氨基酸变化一起出现。m.3308T>C 作为致病变体的地位存在争议。这与线粒体 tRNA 基因中的先前发现形成鲜明对比,表明序列背景在复合体 I 基因中可能不太重要。这些信息将帮助我们改善非欧洲人群中线粒体 DNA 变体的识别和诊断。