Evidence map›Paper›PMID 42511121›Full record

ArticleAnimals : an open access journal from MDPI2026

Growth-Associated SNPs of the

Tian Xia, Yuzhu Cao, Qihui Jia, Hongbo Guan, Chenglin Ma, Yulong Guo, Weihua Tian, Xiaojun Liu, Xiangtao Kang, Hong Li

Abstract read
PubMed Full text at PMC Publisher
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

10 authors.

Tian XiaCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Yuzhu CaoCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Qihui JiaCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Hongbo GuanCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Chenglin MaCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Yulong GuoCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.ORCID 0000-0003-0006-4672
Weihua TianCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Xiaojun LiuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Xiangtao KangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Hong LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.

Funding

Major Scientific and Technological Special Project of Henan Province 221100110200Natural Science Foundation of Henan 252300421157)Zhongyuan Program for Young Top-notch Scientific and Technological Innovation Talents No
6 · The paper itself

Abstract

Body weight (BW) serves as a core indicator for evaluating chicken growth performance and implementing early individual selective breeding. Our previous studies have verified that 8-week body weight (BW8) exhibits a significantly positive correlation with body weights at 10 and 12 weeks of age in chickens, implying that early body weight can be used to predict late growth phenotypes; nevertheless, the underlying genetic regulatory mechanisms remain elusive. Multiple investigations on growth traits of livestock have confirmed that the

Indexed as

8-week body weightchickenNCAPG-LCORLskeletal muscle satellite cellsSNP

Identifiers

PMID42511121
PMCPMC13406134

What Socratic 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 Socratic graph.