Evidence map›Paper›PMID 32171250›Full record

ArticleBMC genetics2020

Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle.

Bingxing An, Lei Xu, Jiangwei Xia, Xiaoqiao Wang, Jian Miao, Tianpeng Chang, Meihua Song, Junqing Ni, Lingyang Xu, Lupei Zhang and 2 more

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 90 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 1 country.

Bingxing An
Lei Xu
Jiangwei XiaInstitute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, 310000, China.
Xiaoqiao WangInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Jian MiaoInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Tianpeng ChangInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Meihua SongZhuang Yuan Veterinary Station of Qixia city, Yantai, 265300, China.
Junqing NiHeibei Livestock Breeding Workstation, Shijiazhuang, 050061, China.
Lingyang XuInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Lupei ZhangInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Junya LiInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Huijiang GaoInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China. gaohuijiang@caas.cn.ORCID 0000-0002-5502-2528
Chinese Academy of Agricultural Sciences · CNWestlake University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBody size traits as one of the main breeding selection criteria was widely used to monitor cattle growth and to evaluate the selection response. In this study, body size was defined as body height (BH), body length (BL), hip height (HH), heart size (HS), abdominal size (AS), and cannon bone size (CS). We performed genome-wide association studies (GWAS) of these traits over the course of three growth stages (6, 12 and 18 months after birth) using three statistical models, single-trait GWAS, multi-trait GWAS and LONG-GWAS. The Illumina Bovine HD 770 K BeadChip was used to identify genomic single nucleotide polymorphisms (SNPs) in 1217 individuals.

resultsIn total, 19, 29, and 10 significant SNPs were identified by the three models, respectively. Among these, 21 genes were promising candidate genes, including SOX2, SNRPD1, RASGEF1B, EFNA5, PTBP1, SNX9, SV2C, PKDCC, SYNDIG1, AKR1E2, and PRIM2 identified by single-trait analysis; SLC37A1, LAP3, PCDH7, MANEA, and LHCGR identified by multi-trait analysis; and P2RY1, MPZL1, LINGO2, CMIP, and WSCD1 identified by LONG-GWAS.

conclusionsMultiple association analysis was performed for six growth traits at each growth stage. These findings offer valuable insights for the further investigation of potential genetic mechanism of growth traits in Simmental beef cattle.

Indexed as

Genome-Wide Association StudyAnimalsBody SizeBreedingCattleGenomicsHaplotypesQuantitative Trait LociBody sizeBovine HD 770 K SNPCandidate genesGenome-wide association studiesSimmental beef cattle

Identifiers

PMID32171250
PMCPMC7071762
OpenAlexW3010933867

What OpenQuestion holds

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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.