4.6 Article

High-throughput STELA provides a rapid test for the diagnosis of telomere biology disorders

Journal

HUMAN GENETICS
Volume 140, Issue 6, Pages 945-955

Publisher

SPRINGER
DOI: 10.1007/s00439-021-02257-4

Keywords

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Funding

  1. Cancer Research UK [A18246/A29202]
  2. Wales Cancer Research Centre
  3. Medical Research Council UK [MR/P018440/1]
  4. Blood Cancer UK [14032]
  5. Welsh Clinical Academic Training (WCAT) programme
  6. MRC [MR/P018440/1] Funding Source: UKRI

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Telomere biology disorders are complex clinical conditions caused by mutations in genes related to telomere maintenance. High-throughput STELA (HT-STELA) has been shown to accurately measure telomere lengths in unaffected individuals and mutation carriers, providing important diagnostic and prognostic information for telomeropathies.
Telomere biology disorders are complex clinical conditions that arise due to mutations in genes required for telomere maintenance. Telomere length has been utilised as part of the diagnostic work-up of patients with these diseases; here, we have tested the utility of high-throughput STELA (HT-STELA) for this purpose. HT-STELA was applied to a cohort of unaffected individuals (n = 171) and a retrospective cohort of mutation carriers (n = 172). HT-STELA displayed a low measurement error with inter- and intra-assay coefficient of variance of 2.3% and 1.8%, respectively. Whilst telomere length in unaffected individuals declined as a function of age, telomere length in mutation carriers appeared to increase due to a preponderance of shorter telomeres detected in younger individuals (< 20 years of age). These individuals were more severely affected, and age-adjusted telomere length differentials could be used to stratify the cohort for overall survival (Hazard Ratio = 5.6 (1.5-20.5); p < 0.0001). Telomere lengths of asymptomatic mutation carriers were shorter than controls (p < 0.0001), but longer than symptomatic mutation carriers (p < 0.0001) and telomere length heterogeneity was dependent on the diagnosis and mutational status. Our data show that the ability of HT-STELA to detect short telomere lengths, that are not readily detected with other methods, means it can provide powerful diagnostic discrimination and prognostic information. The rapid format, with a low measurement error, demonstrates that HT-STELA is a new high-quality laboratory test for the clinical diagnosis of an underlying telomeropathy.

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