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4 results on '"Hozé C"'

1. Efficient detection of interchromosomal rearrangements in Holstein bulls using large SNP datasets

Author

Jourdain, J, Pinton, A, Barasc, H, Barbat, A, Hozé, C, Philippe, M, Boichard, Didier, Capitan, A, and Boichard, Didier

Subjects
[SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics
Abstract

Chromosomal structural rearrangements are the cause of reproductive problems. They can be transmitted between generations by progeny carrying a balanced translocation. Detection and elimination of carrier bulls and their carrier progeny is desirable to increase on-farm conception rates. In this paper, we propose to detect these chromosomal abnormalities based on a significant association disequilibrium between markers of different chromosomes in the progeny of a bull. This approach applied to 2445 Holstein artificial insemination (AI) sire families resulted in the detection of 10 candidate rearrangements (0.41% of bulls). Most of the suspected bulls had low conception rates (relative loss of 29-65% compared to breed average). While historically, translocation studies in cattle focused on targeted cases, our method can be used routinely to detect chromosomal rearrangements based on SNP genotypes available for genomic evaluation.

Published
2022

2. Rapid discovery of de novo deleterious mutations in cattle enhances the value of livestock as model species

Author

Bourneuf, E., Otz, P., Pausch, H., Jagannathan, V., Michot, P., Grohs, C., Piton, G., Ammermüller, S., Deloche, M.-C., Fritz, S., Leclerc, H., Péchoux, C., Boukadiri, A., Hozé, C., Saintilan, R., Créchet, F., Mosca, M., Segelke, D., Guillaume, F., Bouet, S., Baur, A., Vasilescu, A., Genestout, L., Thomas, A., Allais-Bonnet, A., Rocha, D., Colle, M.-A., Klopp, C., Esquerré, D., Wurmser, C., Flisikowski, K., Schwarzenbacher, H., Burgstaller, J., Brügmann, M., Dietschi, E., Rudolph, N., Freick, M., Barbey, S., Fayolle, G., Danchin-Burge, C., Schibler, L., Bed’Hom, B., Hayes, B. J., Daetwyler, H. D., Fries, R., Boichard, D., Pin, D., Drögemüller, C., Capitan, A., Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Paris-Saclay, Laboratoire de Radiobiologie et d'Etude de Génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Ecole Nationale Vétérinaire de Lyon (ENVL), Chair of Animal Breeding, Technische Universität München [München] (TUM), Institute of Genetics - Vetsuisse Faculty, Universität Bern [Bern], Allice, Laboratoire de Radiobiologie et d'Etude de Génome, Institut de l'Elevage, Plateforme de Microscopie MIMA2 MET, Institut National de la Recherche Agronomique (INRA), Interactions Cellules Environnement - UR (ICE), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Vereinigte Informationssysteme Tierhaltung (VIT), Laboratoire d'Analyses Génétiques pour les Espèces Animales (LABOGENA), Imaging Department, University Hospital Santa Maria, Développement et Pathologie du Tissu Musculaire (DPTM), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Nantes, Nantes-Atlantic National College of Veterinary Medicine, Food science and Engineering, PRES Université Nantes Angers Le Mans (UNAM), Ecole Nationale Vétérinaire Agroalimentaire et de l'Alimentation Nantes Atlantique (ONIRIS), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Chair of Animal Biotechnology, Technical University of Munich (TUM), ZuchtData EDV-Dienstleistungen GmbH, Clinic for Ruminants, Ludwig-Maximilians-Universität München (LMU), Department of Pathology, Lower Saxony State Office for Consumer Protection and Food Safety, Landesuntersuchungsanstalt für das Gesundheits- und Veterinärwesen Sachsen, Veterinary Practice Zettlitz, Domaine expérimental animal du Pin (SEA), Union Montbéliarde de Testage (UMOTEST), Centre for AgriBioscience, Biosciences Research, AgriBio, Queensland Alliance for Agriculture and Food Innovation - Centre for Animal Science, University of Queensland [Brisbane], Centre for AgriBioscience - Biosciences Research, School of Applied Systems Biology, La Trobe University [Melbourne], ANR-Apisgene Bovano, AgroParisTech-Institut National de la Recherche Agronomique (INRA), Ecole Nationale Vétérinaire de Nantes-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Institut de l'élevage (IDELE), Laboratoire d'Analyse Génétique pour les Espèces Animales (LABOGENA), Physiopathologie Animale et bioThérapie du muscle et du système nerveux (PAnTher), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS), Universität Bern [Bern] (UNIBE), Institut National de la Recherche Agronomique (INRA)-École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT), and Domaine Expérimental du Pin (DEP)

Subjects
Livestock, bovin, [SDV]Life Sciences [q-bio], DNA Mutational Analysis, lcsh:Medicine, 610 Medicine & health, Genome-wide association studies, Article, Animals, Humans, Genetic Predisposition to Disease, Clinical genetics, lcsh:Science, Genetic Association Studies, Neural tube defects, Animal breeding, séquence du génome complet, modèle pour l'homme, 630 Agriculture, Whole Genome Sequencing, lcsh:R, Genetic Diseases, Inborn, Genomics, Pedigree, Disease Models, Animal, Phenotype, Next-generation sequencing, Mutation, 570 Life sciences, biology, 590 Animals (Zoology), lcsh:Q, Cattle, anomalie génétique
Abstract

In humans, the clinical and molecular characterization of sporadic syndromes is often hindered by the small number of patients and the difficulty in developing animal models for severe dominant conditions. Here we show that the availability of large data sets of whole-genome sequences, high-density SNP chip genotypes and extensive recording of phenotype offers an unprecedented opportunity to quickly dissect the genetic architecture of severe dominant conditions in livestock. We report on the identification of seven dominant de novo mutations in CHD7, COL1A1, COL2A1, COPA, and MITF and exploit the structure of cattle populations to describe their clinical consequences and map modifier loci. Moreover, we demonstrate that the emergence of recessive genetic defects can be monitored by detecting de novo deleterious mutations in the genome of bulls used for artificial insemination. These results demonstrate the attractiveness of cattle as a model species in the post genomic era, particularly to confirm the genetic aetiology of isolated clinical case reports in humans., Scientific Reports, 7 (1), ISSN:2045-2322

Published
2017
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4. Across Breed QTL Detection and Genomic Prediction in French and Danish Dairy Cattle Breeds

Author

van den Berg, Irene, Guldbrandtsen, Bernt, Hozé, C, Brøndum, Rasmus Froberg, Boichard, Didier A, and Lund, Mogens Sandø

Subjects
across breed, QTL, dairy cattle, genomic prediction
Abstract

Our objective was to investigate the potential benefits of using sequence data to improve across breed genomic prediction, using data from five French and Danish dairy cattle breeds. First, QTL for protein yield were detected using high density genotypes. Part of the QTL detected within breed was shared across breed. Second, sequence data was used to quantify the loss in prediction reliabilities that results from using genomic markers rather than the causal variants. 50, 100 or 250 causative mutations were simulated and different sets of prediction markers were used to predict genomic relationships at causative mutations. Prediction of genomic relationships at causative mutations was most accurate when predicted by a selective number of markers within 1 Kb of the causative mutations. Whole-genome sequence data can help to get closer to the causative mutations and therefore improve genomic prediction across breed

Published
2014

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