Evidence map›Paper›PMID 33167458›Full record

ArticleAnimals : an open access journal from MDPI2020

GWAS-Based Identification of New Loci for Milk Yield, Fat, and Protein in Holstein Cattle.

Liyuan Liu, Jinghang Zhou, Chunpeng James Chen, Juan Zhang, Wan Wen, Jia Tian, Zhiwu Zhang, Yaling Gu

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
8.1field-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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Genome-wide association study identifies significant SNPs for milk production and stature traits in Karan Fries cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
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  7. Molecular breeding of tomato: Advances and challenges.Journal of integrative plant biology · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Validation ofAnimals : an open access journal from MDPI · 2024
    Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Association ofFrontiers in veterinary science · 2024
    Article
  19. 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

8 authors at 2 institutions in 2 countries.

Liyuan LiuSchool of Agriculture, Ningxia University, Yinchuan 750021, Ningxia, China.
Jinghang ZhouSchool of Agriculture, Ningxia University, Yinchuan 750021, Ningxia, China.
Chunpeng James ChenDepartment of Crop and Soil Sciences, Washington State University, Pullman, Washington, DC 99164, USA.ORCID 0000-0002-2018-0702
Juan ZhangSchool of Agriculture, Ningxia University, Yinchuan 750021, Ningxia, China.
Wan WenAnimal Husbandry Workstation, Yinchuan 750001, Ningxia, China.
Jia TianAnimal Husbandry Workstation, Yinchuan 750001, Ningxia, China.
Zhiwu ZhangDepartment of Crop and Soil Sciences, Washington State University, Pullman, Washington, DC 99164, USA.ORCID 0000-0002-5784-9684
Yaling GuSchool of Agriculture, Ningxia University, Yinchuan 750021, Ningxia, China.
Ningxia University · CNWashington State University · US

Funding

High-yield and High-quality Dairy Cattle Breeding 2019NYYZ05National Science Foundation Award # DBI 1661348, and the USDA National Institute of Food and Agriculture Hatch project (1014919)
6 · The paper itself

Abstract

High-yield and high-quality of milk are the primary goals of dairy production. Understanding the genetic architecture underlying these milk-related traits is beneficial so that genetic variants can be targeted toward the genetic improvement. In this study, we measured five milk production and quality traits in Holstein cattle population from China. These traits included milk yield, fat, and protein. We used the estimated breeding values as dependent variables to conduct the genome-wide association studies (GWAS). Breeding values were estimated through pedigree relationships by using a linear mixed model. Genotyping was carried out on the individuals with phenotypes by using the Illumina BovineSNP150 BeadChip. The association analyses were conducted by using the fixed and random model Circulating Probability Unification (FarmCPU) method. A total of ten single-nucleotide polymorphisms (SNPs) were detected above the genome-wide significant threshold (

Indexed as

dairyDGAT1FarmCPUmilk productionquality traits

Identifiers

PMID33167458
PMCPMC7694478
OpenAlexW3096804643

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.