Evidence map›Paper›PMID 40894009›Full record

ArticleResearch square2025

Determinants of chromosome-specific telomere lengths among 2,573 All of Us participants.

Niyati Jain, Jiajun Luo, Yuqing Yang, Briseis Aschebrook-Kilfoy, Habibul Ahsan, Lin Chen, Brandon Pierce

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Niyati JainThe University of Chicago.
Jiajun LuoThe University of Chicago.
Yuqing YangThe University of Chicago.
Briseis Aschebrook-KilfoyThe University of Chicago.
Habibul AhsanUniversity of Chicago.
Lin ChenThe University of Chicago.
Brandon PierceThe University of Chicago.

Funding

The Illinois Precision Medicine Consortium (IPMC) All of Us Research Program SiteOT2OD036445 · OD · UNIVERSITY OF CHICAGO · PI Habibul Ahsan, Briseis A Aschebrook-Kilfoy · 2023 to 2026
$20.3M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI RICHARD D MINSHALL · 2017 to 2026
$13.6M
Arsenic and the Human Genome: susceptibility and response to exposure Supplement 4R35ES028379 · NIEHS · UNIVERSITY OF CHICAGO · PI PIERCE, BRANDON LEE · 2017 to 2024
$5.6M
Telomere length and chromosomal instability across various tissue typesU01HG007601 · NHGRI · UNIVERSITY OF CHICAGO · PI PIERCE, BRANDON LEE · 2014 to 2016
$1.4M
Integrative multivariate association and genomic analysesR01GM154421 · NIGMS · UNIVERSITY OF CHICAGO · PI Lin Chen · 2024 to 2026
$1.3M
Integrative Analysis Methods for the dGTEx InitiativeU01MH139345 · NIMH · UNIVERSITY OF CHICAGO · PI CHEN, LIN · 2024 to 2024
$611k
Investigation of the social context and physical environment on cardiovascular disease disparities in the All of Us Research ProgramR03HL172114 · NHLBI · UNIVERSITY OF CHICAGO · PI ASCHEBROOK-KILFOY, BRISEIS A · 2023 to 2024
$328k
NHGRI NIH HHS U01 HG007601NHLBI NIH HHS R03 HL172114NIEHS NIH HHS P30 ES027792NIEHS NIH HHS R35 ES028379NIGMS NIH HHS R01 GM154421NIH HHS OT2 OD036445NIMH NIH HHS U01 MH139345
6 · The paper itself

Abstract

Telomeres are DNA-protein structures that protect chromosome ends. The DNA component of telomeres shortens as cells divide, and telomere length (TL) is a key biomarker of aging and disease risk. Most previous studies in humans of TL have analyzed average TL; thus, our knowledge of TL variability across chromosome arms remains limited. The availability of long-read whole-genome sequencing (lrWGS) data has enabled the development of computational methods to measure chromosome-specific TL (csTL). We generated lrWGS-based csTLs for > 2,500 All of Us participants and characterized variability in csTL attributable to individuals, chromosome arms, participant characteristics, and technical factors. We found that TL varies by chromosome arm (9.1% of the variance in csTL), mirroring patterns observed in prior studies and highlighting the potential for chromosome-specific mechanisms of TL regulation. Substantial variance in csTL (8.9%) was attributable to individual, independent of age, supporting the hypothesis that individuals are endowed with short or long TL in early development, which is maintained throughout life. While age is inversely associated with TL across all arms, the strength of the association varied, with longer arms showing stronger associations. We demonstrate that csTL estimates can be used to estimate disease associations at individual telomeres, including outlying values in the csTL distribution. Our work identifies lrWGS quality metrics that impact csTL estimation, providing a framework to guide future studies. This study demonstrates the utility of lrWGS data for csTL profiling in population cohorts. Larger studies of csTL are needed to advance our understanding of telomeres in aging and disease.

Identifiers

PMID40894009
PMCPMC12393486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.