Evidence map›Paper›PMID 33467455›Full record

ArticleAnimals : an open access journal from MDPI2021

Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle.

Xinghai Duan, Bingxing An, Lili Du, Tianpeng Chang, Mang Liang, Bai-Gao Yang, Lingyang Xu, Lupei Zhang, Junya Li, Guangxin E and 1 more

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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 52 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

11 authors at 2 institutions in 1 country.

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.
Lili DuInstitute 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.
Bai-Gao YangCollege of Animal Science and Technology, Southwest University, Chongqing 400715, 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 Foundation of China 31872975Program of National Beef Cattle and Yak Industrial Technology System CARS-37
6 · The paper itself

Abstract

The objective of the present study was to perform a genome-wide association study (GWAS) for growth curve parameters using nonlinear models that fit original weight-age records. In this study, data from 808 Chinese Simmental beef cattle that were weighed at 0, 6, 12, and 18 months of age were used to fit the growth curve. The Gompertz model showed the highest coefficient of determination (R

Indexed as

Chinese Simmental beef cattlegrowth curve modellongitudinal datamulti-trait GWASsingle-trait GWAS

Identifiers

PMID33467455
PMCPMC7830728
OpenAlexW3118955990

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.