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Nuclear and mitochondrial genetic variants associated with mitochondrial DNA copy number.

Adriana KollerMichele FilosiHansi WeissensteinerFederica FazziniMathias GorskiCristian PattaroSebastian SchönherrLukas ForerJanina M HeroldKlaus J StarkPatricia DöttelmayerAndrew A HicksPeter Paul PramstallerReinhard WürznerKai-Uwe EckardtIris M HeidChristian FuchsbergerClaudia LaminaFlorian Kronenberg
Published in: Scientific reports (2024)
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 -13 ) and GSDMA (rs56030650, p = 4.85 × 10 -08 ) 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.
Keyphrases
  • copy number
  • mitochondrial dna
  • genome wide
  • lymph node metastasis
  • dna methylation
  • oxidative stress
  • genome wide association
  • gene expression
  • risk assessment
  • electronic health record
  • climate change