Evidence map›Paper›PMID 36499383›Full record

ArticleInternational journal of molecular sciences2022

Cis-eQTL Analysis and Functional Validation of Candidate Genes for Carcass Yield Traits in Beef Cattle.

Tianzhen Wang, Qunhao Niu, Tianliu Zhang, Xu Zheng, Haipeng Li, Xue Gao, Yan Chen, Huijiang Gao, Lupei Zhang, George E Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Tianzhen WangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Qunhao NiuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Tianliu ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Xu ZhengInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Haipeng LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Xue GaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Yan ChenInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Huijiang GaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Lupei ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-7701-2331
George E LiuAnimal Genomics and Improvement Laboratory, United States Department of Agriculture-Agricultural Research Services, Beltsville, MD 20705, USA.ORCID 0000-0003-0192-6705
Junya LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Lingyang XuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-8463-6668
Chinese Academy of Agricultural Sciences · CNAgricultural Research Service · US

Funding

Agricultural Science and Technology Innovation Program in the Chinese Academy of Agricultural Sciences ASTIP-IAS-TS-16 and ASTIP-IAS03Beijing City Board of Education Foundation PXM2016_014207_000012National Beef Cattle Industrial Technology System CARS-37National Natural Science Foundation of China 31972554
6 · The paper itself

Abstract

Carcass yield traits are of considerable economic importance for farm animals, which act as a major contributor to the world’s food supply. Genome-wide association studies (GWASs) have identified many genetic variants associated with carcass yield traits in beef cattle. However, their functions are not effectively illustrated. In this study, we performed an integrative analysis of gene-based GWAS with expression quantitative trait locus (eQTL) analysis to detect candidate genes for carcass yield traits and validate their effects on bovine skeletal muscle satellite cells (BSCs). The gene-based GWAS and cis-eQTL analysis revealed 1780 GWAS and 1538 cis-expression genes. Among them, we identified 153 shared genes that may play important roles in carcass yield traits. Notably, the identified cis-eQTLs of PON3 and PRIM2 were significantly (p < 0.001) enriched in previous GWAS loci for carcass traits. Furthermore, overexpression of PON3 and PRIM2 promoted the BSCs’ proliferation, increased the expression of MYOD and downregulated the expression of MYOG, which indicated that these genes may inhibit myogenic differentiation. In contrast, PON3 and PRIM2 were significantly downregulated during the differentiation of BSCs. These findings suggested that PON3 and PRIM2 may promote the proliferation of BSCs and inhibit them in the pre-differentiation stage. Our results further contribute to the understanding of the molecular mechanisms of carcass yield traits in beef cattle.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociAnimalsCattleGene ExpressionPhenotypePolymorphism, Single Nucleotidebeef cattlecarcass yield traitscis-eQTLGWASPON3PRIM2

Identifiers

PMID36499383
PMCPMC9736101
OpenAlexW4310525764

What OpenQuestion holds

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LicenceCC BY
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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.