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000125218 041__ $$aeng
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000125218 1001_ $$0P:(DE-He78)1b59582b6c05ac4e57aa8b90dd9667f9$$aMons, Ute$$b0$$eFirst author$$udkfz
000125218 245__ $$aLeukocyte Telomere Length and All-Cause, Cardiovascular Disease, and Cancer Mortality: Results From Individual-Participant-Data Meta-Analysis of 2 Large Prospective Cohort Studies.
000125218 260__ $$aOxford$$bOxford Univ. Press$$c2017
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000125218 520__ $$aWe studied the associations of leukocyte telomere length (LTL) with all-cause, cardiovascular disease, and cancer mortality in 12,199 adults participating in 2 population-based prospective cohort studies from Europe (ESTHER) and the United States (Nurses' Health Study). Blood samples were collected in 1989-1990 (Nurses' Health Study) and 2000-2002 (ESTHER). LTL was measured by quantitative polymerase chain reaction. We calculated z scores for LTL to standardize LTL measurements across the cohorts. Cox proportional hazards regression models were used to calculate relative mortality according to continuous levels and quintiles of LTL z scores. The hazard ratios obtained from each cohort were subsequently pooled by meta-analysis. Overall, 2,882 deaths were recorded during follow-up (Nurses' Health Study, 1989-2010; ESTHER, 2000-2015). LTL was inversely associated with age in both cohorts. After adjustment for age, a significant inverse trend of LTL with all-cause mortality was observed in both cohorts. In random-effects meta-analysis, age-adjusted hazard ratios for the shortest LTL quintile compared with the longest were 1.23 (95% confidence interval (CI): 1.04, 1.46) for all-cause mortality, 1.29 (95% CI: 0.83, 2.00) for cardiovascular mortality, and 1.10 (95% CI: 0.88, 1.37) for cancer mortality. In this study population with an age range of 43-75 years, we corroborated previous evidence suggesting that LTL predicts all-cause mortality beyond its association with age.
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000125218 7001_ $$0P:(DE-HGF)0$$aMüezzinler, Aysel$$b1
000125218 7001_ $$0P:(DE-He78)c67a12496b8aac150c0eef888d808d46$$aSchöttker, Ben$$b2$$udkfz
000125218 7001_ $$0P:(DE-HGF)0$$aDieffenbach, Aida Karina$$b3
000125218 7001_ $$0P:(DE-He78)7ca7eafba864e5c3ebb7598149380452$$aButterbach, Katja$$b4$$udkfz
000125218 7001_ $$0P:(DE-He78)c954da35a243d177fdc4a3924f4f8a5c$$aSchick, Matthias$$b5$$udkfz
000125218 7001_ $$aPeasey, Anne$$b6
000125218 7001_ $$aDe Vivo, Immaculata$$b7
000125218 7001_ $$aTrichopoulou, Antonia$$b8
000125218 7001_ $$aBoffetta, Paolo$$b9
000125218 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b10$$eLast author$$udkfz
000125218 773__ $$0PERI:(DE-600)2030043-8$$a10.1093/aje/kww210$$gVol. 185, no. 12, p. 1317 - 1326$$n12$$p1317 - 1326$$tAmerican journal of epidemiology$$v185$$x1476-6256$$y2017
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