Evaluation of mtDNA Mutations to Predict Age

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Hewakapuge, Sudinna Kulangana, van Oorschot, Roland and Baindur-Hudson, Swati (2008) Evaluation of mtDNA Mutations to Predict Age. Forensic Science International: Genetics Supplement Series, 1 (1). pp. 561-562. ISSN 1875-1768

Abstract

Ageing is a predictable, universal and detrimental process in humans. The ‘mitochondrial theory of ageing’ implies that the accumulation of mitochondrial DNA mutations, and the subsequent cytoplasmic segregation of these mutations during life, is an important contributor to the ageing process. Mitochondria have a separate autonomously replicating DNA genome and are maternally inherited. Previous research has identified accumulation of mutations in the ‘hypervariable regions’ (1 and 2) of the mitochondrial genome with age. In this study we analysed hypervariable region sequence variations within 12 separate families, eleven of three unbroken maternal lineages and one with four maternal lineages (ages 5– 96). Since mitochondria are maternally inherited, any sequence difference between the youngest member of the family compared with the others was considered to be age related. No age related mitochondrial mutations were observed in the 12 families analysed. Therefore, this methodology of direct sequencing of mitochondrial hypervariable regions does not appear to be a useful tool to assist in the prediction of the age of the person from whom a biological sample was collected at a crime scene.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/3711
DOI https://doi.org/10.1016/j.fsigss.2007.10.021
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Historical > SEO Classification > 970106 Expanding Knowledge in the Biological Sciences
Historical > Faculty/School/Research Centre/Department > Centre for Ageing, Rehabilitation, Exercise & Sport Science (CARES)
Current > FOR Classification > 0699 Other Biological Sciences
Current > FOR Classification > 0604 Genetics
Keywords ResPubID15839, mitochondrial DNA, ageing, maternal generations
Citations in Scopus 0 - View on Scopus
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