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Review
. 2014 Mar:51:15-27.
doi: 10.1016/j.exger.2013.12.004. Epub 2013 Dec 21.

Gender and telomere length: systematic review and meta-analysis

Affiliations
Review

Gender and telomere length: systematic review and meta-analysis

Michael Gardner et al. Exp Gerontol. 2014 Mar.

Abstract

Background: It is widely believed that females have longer telomeres than males, although results from studies have been contradictory.

Methods: We carried out a systematic review and meta-analyses to test the hypothesis that in humans, females have longer telomeres than males and that this association becomes stronger with increasing age. Searches were conducted in EMBASE and MEDLINE (by November 2009) and additional datasets were obtained from study investigators. Eligible observational studies measured telomeres for both females and males of any age, had a minimum sample size of 100 and included participants not part of a diseased group. We calculated summary estimates using random-effects meta-analyses. Heterogeneity between studies was investigated using sub-group analysis and meta-regression.

Results: Meta-analyses from 36 cohorts (36,230 participants) showed that on average females had longer telomeres than males (standardised difference in telomere length between females and males 0.090, 95% CI 0.015, 0.166; age-adjusted). There was little evidence that these associations varied by age group (p=1.00) or cell type (p=0.29). However, the size of this difference did vary by measurement methods, with only Southern blot but neither real-time PCR nor Flow-FISH showing a significant difference. This difference was not associated with random measurement error.

Conclusions: Telomere length is longer in females than males, although this difference was not universally found in studies that did not use Southern blot methods. Further research on explanations for the methodological differences is required.

Keywords: Epidemiology; Gender; Measurement methods; Systematic review and meta-analysis; Telomere length.

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Conflict of interest statement

Conflict of interest disclosure

This is an original work, and it has never been published nor is under consideration for publication elsewhere. All the authors have substantially contributed to data collection and manuscript drafting and revision. Peter Lansdorp is a founding shareholder in Repeat Diagnostics, a company specializing in leukocyte telomere length measurements using flow FISH. All other authors have not declared any conflicts of interest.

Figures

Fig. 1
Fig. 1
Flow diagram for identification of published studies and for showing contact with authors for published and unpublished studies for inclusion in review.
Fig. 2
Fig. 2
Meta-analysis for the association between gender and telomere length adjusted for continuous age.
Fig. 3
Fig. 3
Stratified meta-analyses above and below median age for the association between gender and telomere length adjusted for continuous age.
Fig. 4
Fig. 4
Stratified meta-analyses by method of measurement of telomere length for the association between gender and telomere length adjusted for continuous age.
Fig. 5
Fig. 5
Stratified meta-analyses by cell type for the association between gender and telomere length adjusted for continuous age.

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