Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020, Innsbruck, Austria.
Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
Sci Rep. 2024 Jan 24;14(1):2083. doi: 10.1038/s41598-024-52373-0.
Mitochondrial DNA copy number (mtDNA-CN) is a biomarker for mitochondrial dysfunction associated with several diseases. Previous genome-wide association studies (GWAS) have been performed to unravel underlying mechanisms of mtDNA-CN regulation. However, the identified gene regions explain only a small fraction of mtDNA-CN variability. Most of this data has been estimated from microarrays based on various pipelines. In the present study we aimed to (1) identify genetic loci for qPCR-measured mtDNA-CN from three studies (16,130 participants) using GWAS, (2) identify potential systematic differences between our qPCR derived mtDNA-CN measurements compared to the published microarray intensity-based estimates, and (3) disentangle the nuclear from mitochondrial regulation of the mtDNA-CN phenotype. We identified two genome-wide significant autosomal loci associated with qPCR-measured mtDNA-CN: at HBS1L (rs4895440, p = 3.39 × 10) and GSDMA (rs56030650, p = 4.85 × 10) genes. Moreover, 113/115 of the previously published SNPs identified by microarray-based analyses were significantly equivalent with our findings. In our study, the mitochondrial genome itself contributed only marginally to mtDNA-CN regulation as we only detected a single rare mitochondrial variant associated with mtDNA-CN. Furthermore, we incorporated mitochondrial haplogroups into our analyses to explore their potential impact on mtDNA-CN. However, our findings indicate that they do not exert any significant influence on our results.
线粒体 DNA 拷贝数 (mtDNA-CN) 是与多种疾病相关的线粒体功能障碍的生物标志物。先前已经进行了全基因组关联研究 (GWAS),以揭示 mtDNA-CN 调节的潜在机制。然而,已识别的基因区域仅解释了 mtDNA-CN 变异性的一小部分。这些数据大部分是根据各种方案从微阵列估计的。在本研究中,我们旨在:(1) 使用 GWAS 从三项研究 (16130 名参与者) 中确定 qPCR 测量的 mtDNA-CN 的遗传位点;(2) 确定我们的 qPCR 衍生的 mtDNA-CN 测量值与已发表的微阵列强度估计值之间潜在的系统差异;(3) 区分核对 mtDNA-CN 表型的调控。我们确定了与 qPCR 测量的 mtDNA-CN 相关的两个全基因组显著常染色体基因座:HBS1L(rs4895440,p=3.39×10)和 GSDMA(rs56030650,p=4.85×10)基因。此外,通过微阵列分析先前确定的 113/115 个 SNP 与我们的发现具有显著等效性。在我们的研究中,线粒体基因组本身对 mtDNA-CN 调节的贡献微不足道,因为我们只检测到一个与 mtDNA-CN 相关的罕见线粒体变体。此外,我们将线粒体单倍群纳入我们的分析中,以探索它们对 mtDNA-CN 的潜在影响。然而,我们的发现表明它们对我们的结果没有任何显著影响。