ArticleEBioMedicine2025
Contributions of inherited mtDNA to longevity: evidence from extended pedigrees with 176 million kinship pairs.
Article in EBioMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Tracing the Right Path: Determination of Large Pedigree Segmentation and Relatedness.Behavior genetics · 2026Article
- Article
- ggpedigree: Visualizing Pedigrees with 'ggplot2' and 'plotly'.Journal of open source software · 2026Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundMitochondria are bacteria-like organelles with their own DNA (mtDNA) that exist in the cellular cytoplasm of almost every cell in the human body. Because mitochondria are critical for sustaining life, it follows that inherited mtDNA could be a key aetiologic element underlying longevity. Unfortunately, biometric approaches able to quantify heritable contributions of mtDNA have not been available.
methodsWe directly leveraged the unique matrilineal inheritance pattern of mtDNA to estimate its effects on longevity (defined as the top 10% oldest survivors within their birth cohort). We employed the Utah Population Database (UPDB) to identify 176,348,110 unique kinship links amongst 1,018,929 individuals born between 1700 and 1925 with information on matrilineal versus patrilineal relatedness.
findingsAcross 1st, 2nd, 3rd, 4th, and 5th degree kin, matrilineal relatives were more similar in their longevity outcomes than were non-maternal relatives. Variance component analyses indicated nuclear DNA heritability of 23-26% and mtDNA heritability of at least 5% - despite mtDNA constituting only ∼16.6 k base pairs (versus 2,875,002 k base pairs for nuclear DNA). Moreover, sharing the maternal line of a longevous relative translated to an average of 11.3 months extra years of life.
interpretationResults collectively suggest that mtDNA may be an important element of unusually long lifespans.
fundingThis project was supported by RF1-AG073189 and R01-AG022095 from the National Institute on Aging (NIA). We also acknowledge partial support through grant P30-CA2014 from the National Cancer Institute, University of Utah, and from the University of Utah's program in Personalized Health and Utah Clinical and Translational Science Institute.
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