Evidence map›Paper›PMID 39795001›Full record

ArticleAnimals : an open access journal from MDPI2024

Genome-Wide Scans for Selection Signatures in Ningxia Angus Cattle Reveal Genetic Variants Associated with Economic and Adaptive Traits.

Haiqi Yin, Yuan Feng, Yu Wang, Qiufei Jiang, Juan Zhang, Jie Zhao, Yafei Chen, Yaxuan Wang, Ruiqi Peng, Yahui Wang and 8 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

18 authors.

Haiqi YinState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Yuan FengNingxia Autonomous Region Animal Husbandry Workstation, Yinchuan 750004, China.
Yu WangNingxia Autonomous Region Animal Husbandry Workstation, Yinchuan 750004, China.
Qiufei JiangNingxia Autonomous Region Animal Husbandry Workstation, Yinchuan 750004, China.
Juan ZhangSchool of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
Jie ZhaoNingxia Autonomous Region Animal Husbandry Workstation, Yinchuan 750004, China.
Yafei ChenYinchuan Animal Husbandry Technology Extension Service Center, Yinchuan 750021, China.
Yaxuan WangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Ruiqi PengState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Yahui WangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Tong ZhaoState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Caihong ZhengState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Lingyang XuState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-8463-6668
Xue GaoState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Huijiang GaoState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Junya LiState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Zezhao WangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0003-1224-681X
Lupei ZhangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-7701-2331

Funding

Chinese Academy of Agricultural Sciences ASTIP-IAS03the Angus Core Breeding Population Construction Project [2024] 16-5 and [2023] 14-1the Program of National Beef Cattle and Yak Industrial Technology System CARS-37This research was supported by the Key Research and Development Project of Ningxia Hui Autonomous Region 2021BEF01002
6 · The paper itself

Abstract

The genetic improvement of beef cattle breeds is crucial for the advancement of the beef cattle industry. Whole-genome resequencing technology has been widely applied in genetic breeding as well as research on selection signatures in beef cattle. In this study, 20× whole-genome resequencing was performed on 282 Angus cattle from the Ningxia region, and a high-quality dataset encompassing extensive genomic variations across the entire genome was constructed. The iHS test identified 495 selection signal regions, which included pregnancy-associated glycoprotein (

Indexed as

Angus cattleeconomic traitiHSimmune-related geneselection signatureswhole-genome resequencing

Identifiers

PMID39795001
PMCPMC11718920

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.