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  1. Article

    Open Access

    Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattle

    In contrast to currently used single nucleotide polymorphism (SNP) panels, the use of whole-genome sequence data is expected to enable the direct estimation of the effects of causal mutations on a given trait....

    Rianne van Binsbergen, Mario P. L. Calus in Genetics Selection Evolution (2015)

  2. Article

    Open Access

    The effect of rare alleles on estimated genomic relationships from whole genome sequence data

    Relationships between individuals and inbreeding coefficients are commonly used for breeding decisions, but may be affected by the type of data used for their estimation. The proportion of variants with low Mi...

    Sonia E Eynard, Jack J Windig, Grégoire Leroy, Rianne van Binsbergen in BMC Genetics (2015)

  3. No Access

    Article

    Whole-genome sequencing of 234 bulls facilitates map** of monogenic and complex traits in cattle

    Ben Hayes and colleagues report the whole-genome sequencing of 234 bulls as phase one of the 1000 bull genomes project. They identify 28.3 million variants in the cattle sequences and also report genome-wide a...

    Hans D Daetwyler, Aurélien Capitan, Hubert Pausch, Paul Stothard in Nature Genetics (2014)

  4. Article

    Open Access

    Accuracy of imputation to whole-genome sequence data in Holstein Friesian cattle

    The use of whole-genome sequence data can lead to higher accuracy in genome-wide association studies and genomic predictions. However, to benefit from whole-genome sequence data, a large dataset of sequenced i...

    Rianne van Binsbergen, Marco CAM Bink, Mario PL Calus in Genetics Selection Evolution (2014)