Evidence map›Paper›PMID 42450752›Full record

ArticleAnimals : an open access journal from MDPI2026

The Telomerase Reverse Transcriptase (TERT) Gene Molecular Characterization in Sheep and the Association of Its Variation with Wool Traits.

Fangfang Zhao, Zhaohua He, Huitong Zhou, Hongxian Sun, Longxia Ma, Zhanchao Chen, Li Wei, Shaobin Li

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. 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

8 authors.

Fangfang ZhaoGansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Zhaohua HeHenan Provincial Engineering Research Center for Animal Germplasm Resources Exploration and Innovative Utilization, College of Biology and Food Science, Shangqiu Normal University, Shangqiu 476000, China.ORCID 0000-0002-7054-2396
Huitong ZhouGene-Marker Laboratory, Faculty of Agricultural and Life Sciences, Lincoln University, Lincoln 7647, New Zealand.ORCID 0000-0001-7620-3160
Hongxian SunGansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0001-6306-5176
Longxia MaGansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Zhanchao ChenGansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Li WeiGansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Shaobin LiGansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0002-6688-1117

Funding

Gansu Province Science and Technology Program Project 22YF7WA115, 25JR6KA011 and 24CXNA081
6 · The paper itself

Abstract

Telomerase reverse transcriptase (TERT) plays a regulatory role in the induction, activation, and hair growth of human and mouse hair follicles. However, the effects of mutations in this gene on sheep hair follicle development and wool traits remain unclear. In this study, the TERT gene (

Indexed as

animal productionsheepSNPsTERTwool traits

Identifiers

PMID42450752
PMCPMC13360088

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.