, Volume 15, Issue 1, pp 99–103

A statistical approach to distinguish telomere elongation from error in longitudinal datasets

  • Mirre J. P. Simons
  • Gert Stulp
  • Shinichi Nakagawa


Telomere length and the rate of telomere attrition vary between individuals and have been interpreted as the rate at which individuals have aged. The biology of telomeres dictates shortening with age, although telomere elongation with age has repeatedly been observed within a minority of individuals in several populations. These findings have been attributed to error, rather than actual telomere elongation, restricting our understanding of its possible biological significance. Here we present a method to distinguish between error and telomere elongation in longitudinal datasets, which is easy to apply and has few assumptions. Using simulations, we show that the method has considerable statistical power (>80 %) to detect even a small proportion (6.7 %) of TL increases in the population, within a relatively small sample (N = 200), while maintaining the standard level of Type I error rate (α ≤ 0.05).


Telomere length Statistics Telomere shortening Within individual Aging Human 

Supplementary material

10522_2013_9471_MOESM1_ESM.pdf (24 kb)
Supplementary material 1 (PDF 23 kb)
10522_2013_9471_MOESM2_ESM.r (3 kb)
Supplementary material 2 (R 3 kb)
10522_2013_9471_MOESM3_ESM.csv (17 kb)
Supplementary material 3 (CSV 16 kb)

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Mirre J. P. Simons
    • 1
  • Gert Stulp
    • 2
  • Shinichi Nakagawa
    • 3
  1. 1.Department of Animal and Plant SciencesUniversity of SheffieldSheffieldUK
  2. 2.Department of SociologyUniversity of GroningenGroningenThe Netherlands
  3. 3.Department of ZoologyUniversity of OtagoDunedinNew Zealand

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