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Bioinformatics4Breeding SIGNED

Harnessing the power of bioinformatic analysis to improve genetic selection for fertility in dairy cows

Total Cost €


EC-Contrib. €






 Bioinformatics4Breeding project word cloud

Explore the words cloud of the Bioinformatics4Breeding project. It provides you a very rough idea of what is the project "Bioinformatics4Breeding" about.

networks    genes    alongside    cattle    longevity    genotyping    breeding    recommend    wathes    met    cow    committed    college    rvc    consiglio    genomics    genic    highlight    crea    professor    efficiency    royal    selective    cows    yielding    evolutionary    phenotypic    detection    la    industry    farm    variants    phenotypes    animal    agraria    researcher    supplement    senior    trend    dr    decreasing    data    groups    transfer    uk    bioinformatics    economia    found    ricerca    beneficial    dairy    sustainability    reversed    dm    events    appropriate    function    she    tools    buggiotti    incoming    dna    fertility    genome    culling    genetics    expertise    combines    coding    larkin    datasets    dc    conserved    back    analisi    closely    train    regions    fertile    scientists    veterinary    mobility    regulatory    breed    gene    infertility    genetic    return    expression    reducing    polymorphisms    italy    reproductive    molecular    snp    dell    candidate    longlasting    containing    influence    understand    agricoltura    larger    genomic   

Project "Bioinformatics4Breeding" data sheet

The following table provides information about the project.


Organization address
city: LONDON
postcode: NW1 OTU

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-CAR
 Starting year 2016
 Duration (year-month-day) from 2016-05-01   to  2018-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE ROYAL VETERINARY COLLEGE UK (LONDON) coordinator 195˙454.00


 Project objective

Genetic selection for high yielding dairy cows has been associated with reduced fertility. Infertility remains the major reason for culling, decreasing longevity and reducing production efficiency. We propose that this trend could be reversed by identifying key genes involving reproductive function and selective breeding of more longlasting cows. The specific research objectives are: 1) to train the incoming researcher in bioinformatics methodologies related to analysis of large genomic datasets including SNP detection, genotyping, and evolutionary conserved DNA elements detection; 2) to use the methodologies to analyse dairy phenotypic and genomic data to highlight potential genic and regulatory regions of the cattle genome containing polymorphisms which are beneficial, with a particular focus on fertility; 3) to use appropriate tools to investigate the likely effects of both coding and regulatory variants on the expression of the candidate genes found in these regions; 4) to use pathway analysis to understand how the candidate genes may influence key molecular events and larger gene networks involved in reproductive phenotypes; 5) to recommend appropriate selection procedures to the EU dairy breeding industry to supplement current genomic methods. The project combines the expertise of Consiglio per la Ricerca in Agricoltura e l’analisi dell’Economia agraria, Italy (CREA) and the Royal Veterinary College, UK (RVC) in farm animal genetics and genomics and dairy cow production. The objectives will be met by the mobility of Dr L Buggiotti to the UK, where she will work closely alongside two senior RVC scientists, Dr DM Larkin and Professor DC Wathes. She will transfer this expertise back to CREA on her return. Both groups are experienced in knowledge transfer to the dairy industry and are committed to use the information generated to breed more fertile cows, so improving longevity and promoting sustainability of the EU dairy industry.

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The information about "BIOINFORMATICS4BREEDING" are provided by the European Opendata Portal: CORDIS opendata.

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