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      Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle

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          Abstract

          Background

          Improving resistance to mastitis, one of the costliest diseases in dairy production, has become an important objective in dairy cattle breeding. However, mastitis resistance is influenced by many genes involved in multiple processes, including the response to infection, inflammation, and post-infection healing. Low genetic heritability, environmental variations, and farm management differences further complicate the identification of links between genetic variants and mastitis resistance. Consequently, studies of the genetics of variation in mastitis resistance in dairy cattle lack agreement about the responsible genes.

          Results

          We associated 15,552,968 imputed whole-genome sequencing markers for 5147 Nordic Holstein cattle with mastitis resistance in a genome-wide association study (GWAS). Next, we augmented P-values for markers in genes in the associated regions using Gene Ontology terms, Kyoto Encyclopedia of Genes and Genomes pathway analysis, and mammalian phenotype database. To confirm results of gene-based analyses, we used gene expression data from E. coli-challenged cow udders. We identified 22 independent quantitative trait loci (QTL) that collectively explained 14% of the variance in breeding values for resistance to clinical mastitis (CM). Using association test statistics with multiple pieces of independent information on gene function and differential expression during bacterial infection, we suggested putative causal genes with biological relevance for 12 QTL affecting resistance to CM in dairy cattle.

          Conclusion

          Combining information on the nearest positional genes, gene-based analyses, and differential gene expression data from RNA-seq, we identified putative causal genes (candidate genes with biological evidence) in QTL for mastitis resistance in Nordic Holstein cattle. The same strategy can be applied for other traits.

          Electronic supplementary material

          The online version of this article (10.1186/s12864-018-5050-x) contains supplementary material, which is available to authorized users.

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          Most cited references37

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Genome-wide association studies for complex traits: consensus, uncertainty and challenges.

            The past year has witnessed substantial advances in understanding the genetic basis of many common phenotypes of biomedical importance. These advances have been the result of systematic, well-powered, genome-wide surveys exploring the relationships between common sequence variation and disease predisposition. This approach has revealed over 50 disease-susceptibility loci and has provided insights into the allelic architecture of multifactorial traits. At the same time, much has been learned about the successful prosecution of association studies on such a scale. This Review highlights the knowledge gained, defines areas of emerging consensus, and describes the challenges that remain as researchers seek to obtain more complete descriptions of the susceptibility architecture of biomedical traits of interest and to translate the information gathered into improvements in clinical management.
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              Reorganizing the protein space at the Universal Protein Resource (UniProt)

              The mission of UniProt is to support biological research by providing a freely accessible, stable, comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and querying interfaces. UniProt is comprised of four major components, each optimized for different uses: the UniProt Archive, the UniProt Knowledgebase, the UniProt Reference Clusters and the UniProt Metagenomic and Environmental Sequence Database. A key development at UniProt is the provision of complete, reference and representative proteomes. UniProt is updated and distributed every 4 weeks and can be accessed online for searches or download at http://www.uniprot.org.
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                Author and article information

                Contributors
                zexi.cai@mbg.au.dk
                bernt.guldbrandtsen@mbg.au.dk
                mogens.lund@mbg.au.dk
                goutam.sahana@mbg.au.dk
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                6 September 2018
                6 September 2018
                2018
                : 19
                : 656
                Affiliations
                ISNI 0000 0001 1956 2722, GRID grid.7048.b, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, , Aarhus University, ; 8830 Tjele, Denmark
                Author information
                http://orcid.org/0000-0002-9579-3415
                Article
                5050
                10.1186/s12864-018-5050-x
                6127918
                30189836
                bba61585-67ac-4da8-b2ed-80a124487143
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 18 June 2018
                : 31 August 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100012774, Innovationsfonden;
                Award ID: 0603-00519B
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Genetics
                dairy cattle,mastitis,post-gwas,gene-base analysis,rna-seq
                Genetics
                dairy cattle, mastitis, post-gwas, gene-base analysis, rna-seq

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