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

Content Provider	Springer Nature Link
Author	Simons, Mirre J. P. Stulp, Gert Nakagawa, Shinichi
Copyright Year	2013
Abstract	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).
Starting Page	99
Ending Page	103
Page Count	5
File Format	PDF
ISSN	13895729
Journal	Biogerontology
Volume Number	15
Issue Number	1
e-ISSN	15736768
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-10-04
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Telomere length Statistics Telomere shortening Within individual Aging Human Cell Biology Geriatrics/Gerontology Developmental Biology
Content Type	Text
Resource Type	Article
Subject	Aging Gerontology Geriatrics and Gerontology

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