Automated assay of telomere length measurement and informatics for 100,000 subjects in the genetic epidemiology research on adult health and aging (GERA) cohort

Kyle Lapham, Mark N. Kvale, Jue Lin, Sheryl Connell, Lisa A. Croen, Brad P. Dispensa, Lynn Fang, Stephanie Hesselson, Thomas J. Hoffmann, Carlos Iribarren, Eric Jorgenson, Lawrence H. Kushi, Dana Ludwig, Tetsuya Matsuguchi, William B. McGuire, Sunita Miles, Charles P. Quesenberry, Sarah Rowell, Marianne Sadler, Lori C. SakodaDavid Smethurst, Carol P. Somkin, Stephen K. Van Den Eeden, Lawrence Walter, Rachel Whitmer, Pui Yan Kwo, Neil Risch, Catherine Schaefer, Elizabeth H. Blackburn

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

The Kaiser Permanente Research Program on Genes, Environment, and Health (RPGEH) Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort includes DNA specimens extracted from saliva samples of 110,266 individuals. Because of its relationship to aging, telomere length measurement was considered an important biomarker to develop on these subjects. To assay relative telomere length (TL) on this large cohort over a short time period, we created a novel high throughput robotic system for TL analysis and informatics. Samples were run in triplicate, along with control samples, in a randomized design. As part of quality control, we determined the within-sample variability and employed thresholds for the elimination of outlying measurements. Of 106,902 samples assayed, 105,539 (98.7%) passed all quality control (QC) measures. As expected, TL in general showed a decline with age and a sex difference. While telomeres showed a negative correlation with age up to 75 years, in those older than 75 years, age positively correlated with longer telomeres, indicative of an association of longer telomeres with more years of survival in those older than 75. Furthermore, while females in general had longer telomeres than males, this difference was significant only for those older than age 50. An additional novel finding was that the variance of TL between individuals increased with age. This study establishes reliable assay and analysis methodologies for measurement of TL in large, population-based human studies. The GERA cohort represents the largest currently available such resource, linked to comprehensive electronic health and genotype data for analysis.

Original languageEnglish (US)
Pages (from-to)1061-1072
Number of pages12
JournalGenetics
Volume200
Issue number4
DOIs
StatePublished - Aug 1 2015
Externally publishedYes

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Genetic Research
Informatics
Molecular Epidemiology
Telomere
Health
Quality Control
Robotics
Saliva
Sex Characteristics
Biomarkers
Genotype

Keywords

  • GERA cohort
  • Quantitative PCR
  • Relative telomere length
  • Robotic assay
  • Saliva DNA

ASJC Scopus subject areas

  • Genetics

Cite this

Automated assay of telomere length measurement and informatics for 100,000 subjects in the genetic epidemiology research on adult health and aging (GERA) cohort. / Lapham, Kyle; Kvale, Mark N.; Lin, Jue; Connell, Sheryl; Croen, Lisa A.; Dispensa, Brad P.; Fang, Lynn; Hesselson, Stephanie; Hoffmann, Thomas J.; Iribarren, Carlos; Jorgenson, Eric; Kushi, Lawrence H.; Ludwig, Dana; Matsuguchi, Tetsuya; McGuire, William B.; Miles, Sunita; Quesenberry, Charles P.; Rowell, Sarah; Sadler, Marianne; Sakoda, Lori C.; Smethurst, David; Somkin, Carol P.; Van Den Eeden, Stephen K.; Walter, Lawrence; Whitmer, Rachel; Kwo, Pui Yan; Risch, Neil; Schaefer, Catherine; Blackburn, Elizabeth H.

In: Genetics, Vol. 200, No. 4, 01.08.2015, p. 1061-1072.

Research output: Contribution to journalArticle

Lapham, K, Kvale, MN, Lin, J, Connell, S, Croen, LA, Dispensa, BP, Fang, L, Hesselson, S, Hoffmann, TJ, Iribarren, C, Jorgenson, E, Kushi, LH, Ludwig, D, Matsuguchi, T, McGuire, WB, Miles, S, Quesenberry, CP, Rowell, S, Sadler, M, Sakoda, LC, Smethurst, D, Somkin, CP, Van Den Eeden, SK, Walter, L, Whitmer, R, Kwo, PY, Risch, N, Schaefer, C & Blackburn, EH 2015, 'Automated assay of telomere length measurement and informatics for 100,000 subjects in the genetic epidemiology research on adult health and aging (GERA) cohort', Genetics, vol. 200, no. 4, pp. 1061-1072. https://doi.org/10.1534/genetics.115.178624
Lapham, Kyle ; Kvale, Mark N. ; Lin, Jue ; Connell, Sheryl ; Croen, Lisa A. ; Dispensa, Brad P. ; Fang, Lynn ; Hesselson, Stephanie ; Hoffmann, Thomas J. ; Iribarren, Carlos ; Jorgenson, Eric ; Kushi, Lawrence H. ; Ludwig, Dana ; Matsuguchi, Tetsuya ; McGuire, William B. ; Miles, Sunita ; Quesenberry, Charles P. ; Rowell, Sarah ; Sadler, Marianne ; Sakoda, Lori C. ; Smethurst, David ; Somkin, Carol P. ; Van Den Eeden, Stephen K. ; Walter, Lawrence ; Whitmer, Rachel ; Kwo, Pui Yan ; Risch, Neil ; Schaefer, Catherine ; Blackburn, Elizabeth H. / Automated assay of telomere length measurement and informatics for 100,000 subjects in the genetic epidemiology research on adult health and aging (GERA) cohort. In: Genetics. 2015 ; Vol. 200, No. 4. pp. 1061-1072.
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AU - Connell, Sheryl

AU - Croen, Lisa A.

AU - Dispensa, Brad P.

AU - Fang, Lynn

AU - Hesselson, Stephanie

AU - Hoffmann, Thomas J.

AU - Iribarren, Carlos

AU - Jorgenson, Eric

AU - Kushi, Lawrence H.

AU - Ludwig, Dana

AU - Matsuguchi, Tetsuya

AU - McGuire, William B.

AU - Miles, Sunita

AU - Quesenberry, Charles P.

AU - Rowell, Sarah

AU - Sadler, Marianne

AU - Sakoda, Lori C.

AU - Smethurst, David

AU - Somkin, Carol P.

AU - Van Den Eeden, Stephen K.

AU - Walter, Lawrence

AU - Whitmer, Rachel

AU - Kwo, Pui Yan

AU - Risch, Neil

AU - Schaefer, Catherine

AU - Blackburn, Elizabeth H.

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