title: Influences on the reduction of relative telomere length over 10 years in the population-based Bruneck Study: introduction of a well-controlled high-throughput assay.
abstract: BACKGROUND
  Telomeres play a key role in the maintenance of chromosome integrity. Short telomeres are linked to age-associated diseases and cancer. Our aim was to determine the decrease rate of relative telomere length (RTL) over 10 years and whether this rate was influenced by age, sex and smoking behaviour.
  
  
  METHODS
  We compared RTL in 510 sample pairs from the longitudinal population-based Bruneck Study, which were collected in 1995 and recollected in 2005, and additionally determined RTL from 159 participants who died during follow-up. RTL were determined by a high-throughput real-time PCR assay and by applying a mathematical model.
  
  
  RESULTS
  The telomeres shortened, on average, by 455 bp over 10 years. The RTL shortening rate was highly correlated with baseline RTL (r = 0.674, P < 0.001). Participants who died within the observed period had considerably shorter telomeres than those who survived (median RTL of 0.98 vs 1.49; P < 0.001). In contrast to previous studies, smoking behaviour had no influence on RTL and on telomere shortening.
  
  
  CONCLUSIONS
  This is the first comprehensive longitudinal study of individuals who were, on average, 60 at baseline, and who were re-evaluated 10 years later. Our methodology proved to be a reliable tool for a rapid, accurate and cost-efficient determination of RTL with a low amount of DNA.
authors: Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria.
authors: Silvia
authors: S
authors: Ehrlenbach
authors: Peter
authors: P
authors: Willeit
authors: Stefan
authors: S
authors: Kiechl
authors: Johann
authors: J
authors: Willeit
authors: Markus
authors: M
authors: Reindl
authors: Kathrin
authors: K
authors: Schanda
authors: Florian
authors: F
authors: Kronenberg
authors: Anita
authors: A
authors: Brandstätter
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000235:genetics* / Q000502:physiology; D004247:DNA / Q000737:chemistry / Q000235:genetics; D005260:Female; D020022:Genetic Predisposition to Disease; D006801:Humans; D007558:Italy; D008137:Longitudinal Studies; D008297:Male; D008433:Mathematics; D008875:Middle Aged; D009026:Mortality; D016133:Polymerase Chain Reaction; D012307:Risk Factors; D012737:Sex Factors; D012907:Smoking / Q000009:adverse effects; D016615:Telomere / Q000737:chemistry* / Q000235:genetics
chemical_list: D004247:DNA