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Genome-wide association for milk production and female fertility traits in Canadian dairy Holstein cattle

Overview of attention for article published in BMC Genomic Data, June 2016
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Title
Genome-wide association for milk production and female fertility traits in Canadian dairy Holstein cattle
Published in
BMC Genomic Data, June 2016
DOI 10.1186/s12863-016-0386-1
Pubmed ID
Authors

Shadi Nayeri, Mehdi Sargolzaei, Mohammed K. Abo-Ismail, Natalie May, Stephen P. Miller, Flavio Schenkel, Stephen S. Moore, Paul Stothard

Abstract

Genome-wide association studies (GWAS) are a powerful tool for detecting genomic regions explaining variation in phenotype. The objectives of the present study were to identify or refine the positions of genomic regions affecting milk production, milk components and fertility traits in Canadian Holstein cattle, and to use these positions to identify genes and pathways that may influence these traits. Several QTL regions were detected for milk production (MILK), fat production (FAT), protein production (PROT) and fat and protein deviation (FATD, PROTD respectively). The identified QTL regions for production traits (including milk production) support previous findings and some overlap with genes with known relevant biological functions identified in earlier studies such as DGAT1 and CPSF1. A significant region on chromosome 21 overlapping with the gene FAM181A and not previous linked to fertility in dairy cattle was identified for the calving to first service interval and days open. A functional enrichment analysis of the GWAS results yielded GO terms consistent with the specific phenotypes tested, for example GO terms GO:0007595 (lactation) and GO:0043627 (response to estrogen) for milk production (MILK), GO:0051057 (positive regulation of small GTPase mediated signal transduction) for fat production (FAT), GO:0040019 (positive regulation of embryonic development) for first service to calving interval (CTFS) and GO:0043268 (positive regulation of potassium ion transport) for days open (DO). In other cases the connection between the enriched GO terms and the traits were less clear, for example GO:0003279 (cardiac septum development) for FAT and GO:0030903 (notochord development) for DO trait. The chromosomal regions and enriched pathways identified in this study confirm several previous findings and highlight new regions and pathways that may contribute to variation in production or fertility traits in dairy cattle.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 134 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 18%
Researcher 20 15%
Student > Ph. D. Student 18 13%
Student > Bachelor 8 6%
Student > Doctoral Student 7 5%
Other 20 15%
Unknown 40 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 39%
Biochemistry, Genetics and Molecular Biology 20 15%
Veterinary Science and Veterinary Medicine 9 7%
Environmental Science 1 <1%
Mathematics 1 <1%
Other 5 4%
Unknown 48 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2016.
All research outputs
#15,168,964
of 25,373,627 outputs
Outputs from BMC Genomic Data
#480
of 1,204 outputs
Outputs of similar age
#194,313
of 360,128 outputs
Outputs of similar age from BMC Genomic Data
#8
of 43 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 360,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.