Research Repository

Investigation of Telomere Lengths Measurement by Quantitative Real-Time PCR to Predict Age

Hewakapuge, Sudinna Kulangana and van Oorschot, Roland and Lewandowski, Paul and Baindur-Hudson, Swati (2008) Investigation of Telomere Lengths Measurement by Quantitative Real-Time PCR to Predict Age. Legal Medicine, 10 (5). pp. 236-242. ISSN 13446223

Full text for this resource is not available from the Research Repository.

Abstract

Currently DNA profiling methods only compare a suspect’s DNA with DNA left at the crime scene. When there is no suspect, it would be useful for the police to be able to predict what the person of interest looks like by analysing the DNA left behind in a crime scene. Determination of the age of the suspect is an important factor in creating an identikit. Human somatic cells gradually lose telomeric repeats with age. This study investigated if one could use a correlation between telomere length and age, to predict the age of an individual from their DNA. Telomere length, in buccal cells, of 167 individuals aged between 1 and 96 years old was measured using realtime quantitative PCR. Telomere length decreased with age (r = 0.185, P < 0.05) and the age of an individual could be roughly determined by the following formula: (age = relative telomere length 1.5/0.005). The regression (R2) value between telomere length and age was 0.04, which is too low to be use for forensics. The causes for the presence of large variation in telomere lengths in the population were further investigated. The age prediction accuracies were low even after dividing samples into non-related Caucasians, males and females (5%, 9% and 1%, respectively). Mean telomere lengths of eight age groups representing each decade of life showed non-linear decrease in telomere length with age. There were variations in telomere lengths even among similarly aged individuals aged 26 years old (n = 10) and age 54 years old (n = 9). Therefore, telomere length measurement by real-time quantitative PCR cannot be used to predict age of a person, due to the presence of large inter-individual variations in telomere lengths.

Item Type: Article
Uncontrolled Keywords: ResPubID15837, telomere length, ageing, real-time quantitative PCR
Subjects: SEO Classification > 970106 Expanding Knowledge in the Biological Sciences
Faculty/School/Research Centre/Department > Centre for Ageing, Rehabilitation, Exercise & Sport Science (CARES)
FOR Classification > 0699 Other Biological Sciences
FOR Classification > 0604 Genetics
Related URLs:
Depositing User: VUIR
Date Deposited: 22 Aug 2011 01:03
Last Modified: 21 Jan 2015 03:14
URI: http://vuir.vu.edu.au/id/eprint/3712
DOI: 10.1016/j.legalmed.2008.01.007
ePrint Statistics: View download statistics for this item
Citations in Scopus: 23 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar