Evidence map›Paper›PMID 31703627›Full record

ArticleBMC genomics2019

Genome-wide association study of milk and reproductive traits in dual-purpose Xinjiang Brown cattle.

Jinghang Zhou, Liyuan Liu, Chunpeng James Chen, Menghua Zhang, Xin Lu, Zhiwu Zhang, Xixia Huang, Yuangang Shi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 56 citations in OpenAlex.

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  17. Identification of genetic variants affecting reproduction traits in Vrindavani cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
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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 3 institutions in 2 countries.

Jinghang ZhouSchool of Agriculture, Ningxia University, Yinchuan, China.
Liyuan LiuSchool of Agriculture, Ningxia University, Yinchuan, China.
Chunpeng James ChenDepartment of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA.
Menghua ZhangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Xin LuSchool of Agriculture, Ningxia University, Yinchuan, China.
Zhiwu ZhangDepartment of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA. Zhiwu.Zhang@WSU.Edu.ORCID http://orcid.org/0000-0002-5784-9684
Xixia HuangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China. xjau-huangxixia@xjau.edu.cn.
Yuangang ShiSchool of Agriculture, Ningxia University, Yinchuan, China. shi_yg@nxu.edu.cn.
Ningxia University · CNWashington State University · USXinjiang Agricultural University · CN

Funding

China Agricultural Research System CARS-36Department of Education, Xinjiang Uygur Autonomous Region XJEDU2017005Science & Technology Department of Xinjiang Uygur Autonomous Region 2018E02052USDA National Institute of Food and Agriculture Hatch project 1014919Washington Grain Commission 126593
6 · The paper itself

Abstract

backgroundDual-purpose cattle are more adaptive to environmental challenges than single-purpose dairy or beef cattle. Balance among milk, reproductive, and mastitis resistance traits in breeding programs is therefore more critical for dual-purpose cattle to increase net income and maintain well-being. With dual-purpose Xinjiang Brown cattle adapted to the Xinjiang Region in northwestern China, we conducted genome-wide association studies (GWAS) to dissect the genetic architecture related to milk, reproductive, and mastitis resistance traits. Phenotypic data were collected for 2410 individuals measured during 1995-2017. By adding another 445 ancestors, a total of 2855 related individuals were used to derive estimated breeding values for all individuals, including the 2410 individuals with phenotypes. Among phenotyped individuals, we genotyped 403 cows with the Illumina 150 K Bovine BeadChip.

resultsGWAS were conducted with the FarmCPU (Fixed and random model circulating probability unification) method. We identified 12 markers significantly associated with six of the 10 traits under the threshold of 5% after a Bonferroni multiple test correction. Seven of these SNPs were in QTL regions previously identified to be associated with related traits. One identified SNP, BovineHD1600006691, was significantly associated with both age at first service and age at first calving. This SNP directly overlapped a QTL previously reported to be associated with calving ease. Within 160 Kb upstream and downstream of each significant SNP identified, we speculated candidate genes based on functionality. Four of the SNPs were located within four candidate genes, including CDH2, which is linked to milk fat percentage, and GABRG2, which is associated with milk protein yield.

conclusionsThese findings are beneficial not only for breeding through marker-assisted selection, but also for genome editing underlying the related traits to enhance the overall performance of dual-purpose cattle.

Indexed as

Genome-Wide Association StudyAnimalsCattleDisease ResistanceFemaleMastitisMilkPhenotypeReproductionCattleDual-purposeGWASMilkReproductionSCS

Identifiers

PMID31703627
PMCPMC6842163
OpenAlexW2982869507

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.