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Estimating telomere length from whole genome sequence data

Zhihao Ding, Massimo Mangino, Abraham Aviv, Tim D. Spector, Richard Durbin

Nucleic Acids Research · 2014 · ▲ 252 citations

Telomere attrition

Abstract

Telomeres play a key role in replicative ageing and undergo age-dependent attrition in vivo. Here, we report a novel method, TelSeq, to measure average telomere length from whole genome or exome shotgun sequence data. In 260 leukocyte samples, we show that TelSeq results correlate with Southern blot measurements of the mean length of terminal restriction fragments (mTRFs) and display age-dependent attrition comparably well as mTRFs.

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Provenance

Source: OpenAlex
DOI: 10.1093/nar/gku181
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Fetched: 2026-06-09 MST

Cite this

APA

Ding, Z., Mangino, M., Aviv, A., Spector, T.D., & Durbin, R. (2014). Estimating telomere length from whole genome sequence data. <em>Nucleic Acids Research</em>. https://doi.org/10.1093/nar/gku181

Vancouver

Ding Z, Mangino M, Aviv A, Spector TD, Durbin R. Estimating telomere length from whole genome sequence data. Nucleic Acids Research. 2014. doi:10.1093/nar/gku181.

BibTeX

@article{zhihao2014Estima, title = {Estimating telomere length from whole genome sequence data}, author = {Zhihao Ding and Massimo Mangino and Abraham Aviv and Tim D. Spector and Richard Durbin}, journal = {Nucleic Acids Research}, year = {2014}, doi = {10.1093/nar/gku181}, }