Skip to main content

and
  1. Article

    Open Access

    Correction to: Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) Study

    Yao Hu, Stephanie A. Bien, Katherine K. Nishimura, Jeffrey Haessler in BMC Genomics (2021)

  2. Article

    Open Access

    Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study

    Circulating white blood cell and platelet traits are clinically linked to various disease outcomes and differ across individuals and ancestry groups. Genetic factors play an important role in determining these...

    Yao Hu, Stephanie A. Bien, Katherine K. Nishimura, Jeffrey Haessler in BMC Genomics (2021)

  3. Article

    Open Access

    Ancestry-specific associations identified in genome-wide combined-phenotype study of red blood cell traits emphasize benefits of diversity in genomics

    Quantitative red blood cell (RBC) traits are highly polygenic clinically relevant traits, with approximately 500 reported GWAS loci. The majority of RBC trait GWAS have been performed in European- or East Asia...

    Chani J. Hodonsky, Antoine R. Baldassari, Stephanie A. Bien in BMC Genomics (2020)

  4. Article

    Open Access

    A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog

    The accurate description of ancestry is essential to interpret, access, and integrate human genomics data, and to ensure that these benefit individuals from all ancestral backgrounds. However, there are no est...

    Joannella Morales, Danielle Welter, Emily H. Bowler, Maria Cerezo in Genome Biology (2018)

  5. No Access

    Article

    Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

    When applied in large scale to electronic medical record data, the PheWAS approach replicates GWAS associations and reveals potentially new pleiotropic associations.

    Joshua C Denny, Lisa Bastarache, Marylyn D Ritchie in Nature Biotechnology (2013)