{"doi":"10.1101/2020.07.17.209023","title":"Blood-derived mitochondrial DNA copy number is associated with gene expression across multiple tissues and is predictive for incident neurodegenerative disease","abstract":"ABSTRACT Background Mitochondrial DNA copy number (mtDNA-CN) can be used as a proxy for mitochondrial function and is associated with a number of aging-related diseases. However, it is unclear how mtDNA-CN measured in blood can reflect risk for diseases that primarily manifest in other tissues. Using the Genotype-Tissue Expression Project, we interrogated the relationships between mtDNA-CN measured in whole blood and gene expression from whole blood as well as 47 additional tissues. Results We evaluated associations between blood-derived mtDNA-CN and gene expression in whole blood for 418 individuals, correcting for known confounders and surrogate variables derived from RNA-sequencing. Using a permutation-derived cutoff (p<2.70e-6), mtDNA-CN was significantly associated with expression for 721 genes in whole blood, including nuclear genes that are required for mitochondrial DNA replication. Significantly enriched pathways included splicing (p=1.03e-8) and ubiquitin-mediated proteolysis (p=2.4e-10). Genes with target sequences for the mitochondrial transcription factor NRF1 were also enriched (p=1.76e-35). In non-blood tissues, there were more significantly associated genes than expected in 30 out of 47 tested tissues, suggesting that global gene expression in those tissues is correlated with mtDNA-CN. Pathways that were associated in multiple tissues included RNA-binding, catalysis, and neurodegenerative disease. We evaluated the association between mtDNA-CN and incident neurodegenerative disease in an independent dataset, the UK Biobank, using a Cox proportional-hazards model. Higher mtDNA-CN was significantly associated with lower risk for incident neurodegenerative disease (HR=0.73, 95% CI= 0.66;0.90). Conclusions The observation that mtDNA-CN measured in whole blood is associated with gene expression in other tissues suggests that blood-derived mtDNA-CN can reflect metabolic health across multiple tissues. Key pathways in maintaining cellular homeostasis, including splicing, RNA binding, and catalytic genes were significantly associated with mtDNA-CN, reinforcing the importance of mitochondria in aging-related disease. As a specific example, genes involved in neurodegenerative disease were significantly enriched in multiple tissues. This finding, validated in a large independent cohort study showing an inverse association between mtDNA-CN and neurodegenerative disease, solidifies the link between blood-derived mtDNA-CN, altered gene expression in both blood and non-blood tissues, and aging-related disease.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2020,"id":120024,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":13,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9437,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":231326,"name":"Christina A. Castellani","orcid":"0000-0003-2737-0549","position":1,"is_corresponding":false},{"id":231327,"name":"Ryan J. Longchamps","orcid":"0000-0003-3633-0450","position":2,"is_corresponding":false},{"id":286412,"name":"Vamsee Pillalamarri","orcid":"0000-0002-3556-8814","position":3,"is_corresponding":false},{"id":270498,"name":"Brian O’Rourke","orcid":"0000-0002-5548-4853","position":4,"is_corresponding":false},{"id":231329,"name":"Eliseo Güallar","orcid":"0000-0002-4471-9565","position":5,"is_corresponding":false},{"id":24939,"name":"Dan E. Arking","orcid":"0000-0001-8980-8695","position":6,"is_corresponding":false},{"id":256100,"name":"Stephanie Yang","orcid":"0000-0002-6327-0847","position":0,"is_corresponding":true}],"reference_count":72,"raw_metadata":null,"created_at":"2026-07-18T23:14:13.002105Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}