Your browser doesn't support javascript.
loading
Telomere Length Calibration from qPCR Measurement: Limitations of Current Method.
Wang, Youjin; Savage, Sharon A; Alsaggaf, Rotana; Aubert, Geraldine; Dagnall, Casey L; Spellman, Stephen R; Lee, Stephanie J; Hicks, Belynda; Jones, Kristine; Katki, Hormuzd A; Gadalla, Shahinaz M.
Afiliación
  • Wang Y; Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. youjin.wang@nih.gov.
  • Savage SA; Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. savagesh@mail.nih.gov.
  • Alsaggaf R; Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. rotana.alsaggaf@nih.gov.
  • Aubert G; Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC V5Z 1L3, Canada. gaubert@bccrc.ca.
  • Dagnall CL; Repeat Diagnostics Inc., North Vancouver, BC V7M 1A5, Canada. gaubert@bccrc.ca.
  • Spellman SR; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. dagnallc@mail.nih.gov.
  • Lee SJ; Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA. dagnallc@mail.nih.gov.
  • Hicks B; Center for International Blood and Marrow Transplant Research, Minneapolis, MN 55401, USA. sspellma@nmdp.org.
  • Jones K; Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI 53226, USA. sjlee@fredhutch.org.
  • Katki HA; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. sjlee@fredhutch.org.
  • Gadalla SM; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. hicksbel@mail.nih.gov.
Cells ; 7(11)2018 Oct 24.
Article en En | MEDLINE | ID: mdl-30352968
ABSTRACT
Telomere length (TL) comparisons from different methods are challenging due to differences in laboratory techniques and data configuration. This study aimed to assess the validity of converting the quantitative polymerase chain reaction (qPCR) telomere/single copy gene (T/S) ratio to TL in kilobases (kb). We developed a linear regression equation to predict TL from qPCR T/S using flow cytometry with fluorescence in situ hybridization (flow FISH) TL data from 181 healthy donors (age range = 19⁻53) from the National Marrow Donor Program (NMDP) biorepository. TL measurements by qPCR and flow FISH were modestly correlated (R² = 0.56, p < 0.0001). In Bland-Altman analyses, individuals with the shortest (≤10th percentile) or longest (≥90th) flow FISH TL had an over- or under-estimated qPCR TL (bias = 0.89 and -0.77 kb, respectively). Comparisons of calculated TL from the NMDP samples and 1810 age- and sex-matched individuals from the National Health and Nutrition Examination Survey showed significant differences (median = 7.1 versus 5.8 kb, respectively, p < 0.0001). Differences in annual TL attrition were also noted (31 versus 13 bp/year, respectively, p = 0.02). Our results demonstrate that TL calculated in kb from qPCR T/S may yield biased estimates for individuals with the shortest or longest TL, those often of high clinical interest. We also showed that calculated TL in kb from qPCR data are not comparable across populations and therefore are not necessarily useful.
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cells Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cells Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos