eLifeGenetic & Genomic MedicinePeer-reviewed journal article
GWAS and ExWAS of blood Mitochondrial DNA copy number identifies 73 loci and highlights a potential causal role in dementia
Michael ChongiD, Pedrum Mohammadi‐ShemiraniiD, Nicolas PerrotiD, Walter Nelson, Robert W. MortoniD, Sukrit NarulaiD, Ricky LaliiD, Irfan I. KhaniD, Mohammad Daud KhaniD, Conor S. JudgeiD, Tafadzwa MachipisaiD, Nathan Cawte, Martin James O'DonnelliD, Marie PigeyreiD, Loubna AkhabiriD, Guillaume ParéiD
Abstract
Mitochondrial DNA copy number (mtDNA-CN) is an accessible blood-based measurement believed to capture underlying mitochondrial function. The specific biological processes underpinning its regulation, and whether those processes are causative for disease, is an area of active investigation. We developed a novel method for array-based mtDNA-CN estimation suitable for biobank-scale studies, called "AutoMitoC". We applied AutoMitoC to 395,781 UKBiobank study participants and performed genome and exome-wide association studies, identifying novel common and rare genetic determinants. Overall, genetic analyses identified 73 loci for mtDNA-CN, which implicated several genes involved in rare mtDNA depletion disorders, dNTP metabolism, and the mitochondrial central dogma. Rare variant analysis identified SAMHD1 mutation carriers as having higher mtDNA-CN (beta=0.23 SDs; 95% CI, 0.18-0.29; P=2.6x10-19), a potential therapeutic target for patients with mtDNA depletion disorders, but at increased risk of breast cancer (OR=1.91; 95% CI, 1.52-2.40; P=2.7x10-8). Finally, Mendelian randomization analyses suggest a causal effect of low mtDNA-CN on dementia risk (OR=1.94 per 1 SD decrease in mtDNA-CN; 95% CI, 1.55-2.32; P=7.5x10-4). Altogether, our genetic findings indicate that mtDNA-CN is a complex biomarker reflecting specific mitochondrial processes related to mtDNA regulation, and that these processes are causally related to human diseases.
- organism: human
- assay: whole-genome sequencing
- research focus: GWAS / association mapping
- research focus: fine-mapping
- approach: statistical model
- Citations
- 128
- FWCI
- 15.83
- Field percentile
- top 1%
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