Bertrand Servin

Summary

Affiliation: Institut National de la Recherche Agronomique
Country: France

Publications

  1. ncbi Imputation-based analysis of association studies: candidate regions and quantitative traits
    Bertrand Servin
    Department of Statistics, University of Washington, Seattle, Washington, United States of America
    PLoS Genet 3:e114. 2007
  2. ncbi Optimal positioning of markers to control genetic background in marker-assisted backcrossing
    Bertrand Servin
    Station de Génétique Végétale, INRA UPS INAPG, Ferme du Moulon, 91190 Gif sur Yvette, France
    J Hered 93:214-7. 2002
  3. ncbi MDM: a program to compute fully informative genotype frequencies in complex breeding schemes
    Bertrand Servin
    , INRA/UPS/INAPG, Ferme du Moulon, 91190 Gif sur Yvette, France
    J Hered 93:227-8. 2002
  4. ncbi A locally congenic backcross design in pig: a new regional fine QTL mapping approach miming congenic strains used in mouse
    Juliette Riquet
    INRA, UMR, Castanet Tolosan, France
    BMC Genet 12:6. 2011
  5. ncbi Toward a theory of marker-assisted gene pyramiding
    Bertrand Servin
    , Ferme du Moulon, 91190 Gif-sur-Yvette, France
    Genetics 168:513-23. 2004
  6. ncbi Quantitative trait loci (QTL) detection in multicross inbred designs: recovering QTL identical-by-descent status information from marker data
    Sebastien Crepieux
    UMR 1095 INRA UBP, 63039 Clermont Ferrand cedex 2, France
    Genetics 168:1737-49. 2004
  7. ncbi Using markers to reduce the variation in the genomic composition in marker-assisted backcrossing
    Bertrand Servin
    UMR de Génétique Végétale INRA CNRS UPS INPA G Ferme du moulon 91190 Gif sur Yvette, France
    Genet Res 85:151-7. 2005
  8. ncbi Genome sequence of the beta-rhizobium Cupriavidus taiwanensis and comparative genomics of rhizobia
    Claire Amadou
    Laboratoire des Interactions Plantes Micro organismes LIPM, UMR CNRS INRA 2594 441, 31326 Castanet Tolosan Cedex, France
    Genome Res 18:1472-83. 2008

Collaborators

Detail Information

Publications8

  1. ncbi Imputation-based analysis of association studies: candidate regions and quantitative traits
    Bertrand Servin
    Department of Statistics, University of Washington, Seattle, Washington, United States of America
    PLoS Genet 3:e114. 2007
    ..Methods described here are implemented in a software package, Bim-Bam, available from the Stephens Lab website http://stephenslab.uchicago.edu/software.html...
  2. ncbi Optimal positioning of markers to control genetic background in marker-assisted backcrossing
    Bertrand Servin
    Station de Génétique Végétale, INRA UPS INAPG, Ferme du Moulon, 91190 Gif sur Yvette, France
    J Hered 93:214-7. 2002
    ..This criterion allows us to take selection into account and to produce relevant results regarding the final efficiency of background selection in backcross programs...
  3. ncbi MDM: a program to compute fully informative genotype frequencies in complex breeding schemes
    Bertrand Servin
    , INRA/UPS/INAPG, Ferme du Moulon, 91190 Gif sur Yvette, France
    J Hered 93:227-8. 2002
  4. ncbi A locally congenic backcross design in pig: a new regional fine QTL mapping approach miming congenic strains used in mouse
    Juliette Riquet
    INRA, UMR, Castanet Tolosan, France
    BMC Genet 12:6. 2011
    ..However due to the partial dominance of the LW allele, BC scheme using LW as the receiving population was not optimal...
  5. ncbi Toward a theory of marker-assisted gene pyramiding
    Bertrand Servin
    , Ferme du Moulon, 91190 Gif-sur-Yvette, France
    Genetics 168:513-23. 2004
    ..The best gene-pyramiding method combines the eight targets in three generations less than the reference method while requiring fewer genotypings...
  6. ncbi Quantitative trait loci (QTL) detection in multicross inbred designs: recovering QTL identical-by-descent status information from marker data
    Sebastien Crepieux
    UMR 1095 INRA UBP, 63039 Clermont Ferrand cedex 2, France
    Genetics 168:1737-49. 2004
    ..The use of these detected QTL in assisting breeding would thus be facilitated...
  7. ncbi Using markers to reduce the variation in the genomic composition in marker-assisted backcrossing
    Bertrand Servin
    UMR de Génétique Végétale INRA CNRS UPS INPA G Ferme du moulon 91190 Gif sur Yvette, France
    Genet Res 85:151-7. 2005
    ..These calculations enable predictions of the number of individuals carrying an ideal genotype at markers that must be produced to fulfil background selection objectives...
  8. ncbi Genome sequence of the beta-rhizobium Cupriavidus taiwanensis and comparative genomics of rhizobia
    Claire Amadou
    Laboratoire des Interactions Plantes Micro organismes LIPM, UMR CNRS INRA 2594 441, 31326 Castanet Tolosan Cedex, France
    Genome Res 18:1472-83. 2008
    ..This led us to devise an in silico method to extract genes preferentially associated with rhizobia. We discuss how the novel genes we have identified may contribute to symbiotic adaptation...