Evidence map›Paper›PMID 31151238›Full record

ArticleAnimals : an open access journal from MDPI2019

Genome-Wide Scan Identifies Selection Signatures in Chinese Wagyu Cattle Using a High-Density SNP Array.

Zezhao Wang, Haoran Ma, Lei Xu, Bo Zhu, Ying Liu, Farhad Bordbar, Yan Chen, Lupei Zhang, Xue Gao, Huijiang Gao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 27% of its field
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

18 citing papers in PubMed, 29 citations in OpenAlex.

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  13. GoatFrontiers in veterinary science · 2022
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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

13 authors at 5 institutions in 1 country.

Zezhao WangLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. wangzezhao1@163.com.
Haoran MaCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China. mhb1971@126.com.
Lei XuLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. xuleirock@163.com.
Bo ZhuLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. zhubo525@126.com.
Ying LiuLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. yliu2333@sina.com.
Farhad BordbarLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. farhadnevergiveup@yahoo.com.
Yan ChenLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. chenyan0204@163.com.
Lupei ZhangLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. zhanglupei@caas.cn.
Xue GaoLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. gaoxue76@126.com.
Huijiang GaoLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. gaohj111@sina.com.
Shengli ZhangNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China. zhangslcau@cau.edu.cn.
Lingyang XuLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. xulingyang@caas.cn.
Junya LiLaboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. lijunya@caas.cn.
Institute of Animal Sciences · CNChinese Academy of Agricultural Sciences · CNAnimal Science Research Institute · CNChina Agricultural University · CNHuazhong Agricultural University · CN

Funding

Beijing City Board of Education Foundation PXM2016_014207_000012Chinese Academy of Agricultural Sciences of Technology Innovation Project ASTIP-IAS03Chinese Academy of Agricultural Sciences of Technology Innovation Project ASTIP-IAS16Chinese Academy of Agricultural Sciences of Technology Innovation Project CAAS-XTCX2016010Chinese Academy of Agricultural Sciences of Technology Innovation Project CAAS-ZDXT2018006
6 · The paper itself

Abstract

Selective breeding can lead to genetic diversity and diverse phenotypes in farm animals. Analysis of the genomic regions under selection can provide important insights into the genetic basis of complex traits. In this study, a high-density SNP array was used for analysis of genome selection signatures in Chinese Wagyu cattle. In total, we obtained 478,903 SNPs and 24,820 no-overlap regions for |iHS| (integrated haplotype score) estimations. Under the threshold of the top 1%, 239 regions were finally identified as candidate selected regions and 162 candidate genes were found based on the UMD3.1 genome assembly. These genes were reported to be associated with fatty acids, such as Bos taurus nitric oxide synthase 1 adaptor protein (

Indexed as

Chinese Wagyu cattleeconomic traithigh-density SNP arrayselection signatures

Identifiers

PMID31151238
PMCPMC6617538
OpenAlexW2947736290

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.