Evidence map›Paper›PMID 29226034›Full record

ArticlePeerJ2017

Constructing a comprehensive gene co-expression based interactome in

Yan Chen, Yining Liu, Min Du, Wengang Zhang, Ling Xu, Xue Gao, Lupei Zhang, Huijiang Gao, Lingyang Xu, Junya Li and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Yan ChenInnovation Team of Cattle Genetics and Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Yining LiuThe School of Public Health, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China.
Min DuDepartment of Animal Science, Washington State University, Pullman, WA, United States of America.
Wengang ZhangInnovation Team of Cattle Genetics and Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Ling XuInnovation Team of Cattle Genetics and Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xue GaoInnovation Team of Cattle Genetics and Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Lupei ZhangInnovation Team of Cattle Genetics and Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Huijiang GaoInnovation Team of Cattle Genetics and Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Lingyang XuInnovation Team of Cattle Genetics and Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Junya LiInnovation Team of Cattle Genetics and Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Min ZhaoSchool of Engineering, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating genomic information into cattle breeding is an important approach to exploring genotype-phenotype relationships for complex traits related to diary and meat production. To assist with genomic-based selection, a reference map of interactome is needed to fully understand and identify the functional relevant genes. To this end, we constructed a co-expression analysis of 92 tissues and this represents the systematic exploration of gene-gene relationship in

Indexed as

Bos taurusCo-expressionFunctional enrichmentNetworkSystems biologyWGCNA

Identifiers

PMID29226034
PMCPMC5719962

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.