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Inferring Quantitative Trait Pathways Associated with Bull Fertility from a Genome-Wide Association Study

Overview of attention for article published in Frontiers in Genetics, January 2013
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Title
Inferring Quantitative Trait Pathways Associated with Bull Fertility from a Genome-Wide Association Study
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2012.00307
Pubmed ID
Authors

Francisco Peñagaricano, Kent A. Weigel, Guilherme J. M. Rosa, Hasan Khatib

Abstract

Whole-genome association studies typically focus on genetic markers with the strongest evidence of association. However, single markers often explain only a small component of the genetic variance and hence offer a limited understanding of the trait under study. As such, the objective of this study was to perform a pathway-based association analysis in Holstein dairy cattle in order to identify relevant pathways involved in bull fertility. The results of a single-marker association analysis, using 1,755 bulls with sire conception rate data and genotypes for 38,650 single nucleotide polymorphisms (SNPs), were used in this study. A total of 16,819 annotated genes, including 2,767 significantly associated with bull fertility, were used to interrogate a total of 662 Gene Ontology (GO) terms and 248 InterPro (IP) entries using a test of proportions based on the cumulative hypergeometric distribution. After multiple-testing correction, 20 GO categories and one IP entry showed significant overrepresentation of genes statistically associated with bull fertility. Several of these functional categories such as small GTPases mediated signal transduction, neurogenesis, calcium ion binding, and cytoskeleton are known to be involved in biological processes closely related to male fertility. These results could provide insight into the genetic architecture of this complex trait in dairy cattle. In addition, this study shows that quantitative trait pathways inferred from single-marker analyses could enhance our interpretations of the results of genome-wide association studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 7 18%
Researcher 5 13%
Student > Bachelor 3 8%
Student > Doctoral Student 3 8%
Other 5 13%
Unknown 10 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 53%
Veterinary Science and Veterinary Medicine 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Mathematics 1 3%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 January 2013.
All research outputs
#20,178,031
of 22,691,736 outputs
Outputs from Frontiers in Genetics
#8,520
of 11,754 outputs
Outputs of similar age
#248,696
of 280,671 outputs
Outputs of similar age from Frontiers in Genetics
#263
of 319 outputs
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