Evidence map›Paper›PMID 34573489›Full record

ArticleAnimals : an open access journal from MDPI2021

Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle.

Lili Du, Xinghai Duan, Bingxing An, Tianpeng Chang, Mang Liang, Lingyang Xu, Lupei Zhang, Junya Li, Guangxin E, Huijiang Gao

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. 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
4.8field-weighted citation impact, top 4% 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, 23 citations in OpenAlex.

  1. Article
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  9. Genome-Wide Association Study of Body Weight Trait in Yaks.Animals : an open access journal from MDPI · 2022
    Article
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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

10 authors at 2 institutions in 1 country.

Lili DuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Xinghai DuanInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Bingxing AnInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Tianpeng ChangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Mang LiangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Lingyang XuInstitute 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
Junya LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Guangxin ECollege of Animal Science and Technology, Southwest University, Chongqing 400715, China.
Huijiang GaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Chinese Academy of Agricultural Sciences · CNSouthwest University · CN

Funding

National Natural Science Foundations of China 31872975Program of National Beef Cattle and Yak Industrial Technology System CARS-37
6 · The paper itself

Abstract

Body weight (BW) is an important longitudinal trait that directly described the growth gain of bovine in production. However, previous genome-wide association study (GWAS) mainly focused on the single-record traits, with less attention paid to longitudinal traits. Compared with traditional GWAS models, the association studies based on the random regression model (GWAS-RRM) have better performance in the control of the false positive rate through considering time-stage effects. In this study, the BW trait data were collected from 808 Chinese Simmental beef cattle aged 0, 6, 12, and 18 months, then we performed a GWAS-RRM to fit the time-varied SNP effect. The results showed a total of 37 significant SNPs were associated with BW. Gene functional annotation and enrichment analysis indicated

Indexed as

Chinese Simmental beef cattleGWASlongitudinal traitrandom regression model

Identifiers

PMID34573489
PMCPMC8470172
OpenAlexW3198850507

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.