Evidence map›Paper›PMID 41279476›Full record

ArticlebioRxiv : the preprint server for biology2025

A COMPREHENSIVE CATALOG OF TELOMERE CONTENT VARIATION ACROSS HUMAN POPULATIONS.

Priyanshi Shah, Arun Sethuraman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Priyanshi ShahDepartment of Biology, San Diego State University, San Diego, California, 92182, United States of America.
Arun SethuramanDepartment of Biology, San Diego State University, San Diego, California, 92182, United States of America.

Funding

The Architecture of Missing and Archaic Variation in Human Population Genomic DataR15GM143700 · NIGMS · CALIFORNIA STATE UNIVERSITY SAN MARCOS · PI AYERS, KIMBERLY · 2021 to 2021
$441k
NIGMS NIH HHS R15 GM143700
6 · The paper itself

Abstract

Quantifying telomere content across global human populations is critical to understanding the evolutionary biology of senescence and has implications for the field of biogerontology. Here, we analyzed 26 global human populations from Phase 3 of the 1000 Genomes Project and observed that differences in telomere content vary significantly across different human populations. Most notably, African-ancestry populations in the Americas: ACB (African Caribbean in Barbados) and ASW ((African Ancestry in Southwest USA) showed significantly different telomere content compared to both continental African populations and populations from other ancestries (p < 10

Identifiers

PMID41279476
PMCPMC12637462

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.