High-throughput STELA provides a rapid test for the diagnosis of telomere biology disorders.
High-throughput STELA provides a rapid test for the diagnosis of telomere biology disorders.
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高通量STELA为端粒生物学疾病的诊断提供了一种快速检测方法。
DOI:
10.1007/s00439-021-02257-4
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发表时间:
2021-06
期刊:
影响因子:
5.3
通讯作者:
Baird DM
中科院分区:
文献类型:
--
作者:
Norris K;Walne AJ;Ponsford MJ;Cleal K;Grimstead JW;Ellison A;Alnajar J;Dokal I;Vulliamy T;Baird DM
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. The online version contains supplementary material available at 10.1007/s00439-021-02257-4.
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DOI:
10.1016/j.mrfmmm.2011.04.003
发表时间:
2012-02-01
影响因子:
2.3
作者:
Aubert, Geraldine;Hills, Mark;Lansdorp, Peter M.
通讯作者:
Lansdorp, Peter M.
DOI:
10.1038/nrg3246
发表时间:
2012-10
期刊:
Nature reviews. Genetics
影响因子:
--
作者:
通讯作者:
--
影响因子:
5.6
作者:
LEVY, MZ;ALLSOPP, RC;HARLEY, CB
通讯作者:
HARLEY, CB
影响因子:
5.6
作者:
Khincha PP;Dagnall CL;Hicks B;Jones K;Aviv A;Kimura M;Katki H;Aubert G;Giri N;Alter BP;Savage SA;Gadalla SM
通讯作者:
Gadalla SM
影响因子:
30.8
作者:
Baird, DM;Rowson, J;Kipling, D
通讯作者:
Kipling, D