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Author Details

Kenneth M Borthwick
Hood Center for Health Research
2015
14
10
PMIDPaper TitleJournal TitlePublished Year
37196047Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm.PLoS One2023
32372017The polygenic architecture of left ventricular mass mirrors the clinical epidemiology.Sci Rep2020
31992429Multisite validation of a simple electronic health record algorithm for identifying diagnosed obstructive sleep apnea.J Clin Sleep Med2020
30774981A phenome-wide association study to discover pleiotropic effects of <i>PCSK9</i>, <i>APOB</i>, and <i>LDLR</i>.NPJ Genom Med2019
30988330Heritability and genome-wide association study of benign prostatic hyperplasia (BPH) in the eMERGE network.Sci Rep2019
30166544A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkers.Nat Commun2018
30124903A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.J Am Med Inform Assoc2018
27899403Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci.Circ Res2017
26169577A genome-wide association study identifies variants in KCNIP4 associated with ACE inhibitor-induced cough.Pharmacogenomics J2016
27855652Performance of an electronic health record-based phenotype algorithm to identify community associated methicillin-resistant Staphylococcus aureus cases and controls for genetic association studies.BMC Infect Dis2016
25297839Genetic variation in the HLA region is associated with susceptibility to herpes zoster.Genes Immun2015
27054044ePhenotyping for Abdominal Aortic Aneurysm in the Electronic Medical Records and Genomics (eMERGE) Network: Algorithm Development and Konstanz Information Miner Workflow.Int J Biomed Data Min2015
26342218Desiderata for computable representations of electronic health records-driven phenotype algorithms.J Am Med Inform Assoc2015
26413716A GWAS Study on Liver Function Test Using eMERGE Network Participants.PLoS One2015
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Collaborators

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Center for Precision Medicine Research, Marshfield Clinic Research Institute
Co-authored papers 10
University of Pennsylvania
Co-authored papers 9
University of Washington Medical Center
Co-authored papers 9
Kaiser Permanente Washington Health Research Institute
Co-authored papers 8
University of Washington
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University of Washington Medical Center
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Center for Systems Genomics, Pennsylvania State University, University Park
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Vanderbilt University Medical Center
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Mayo Clinic
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Marshfield Clinic Research Institute
Co-authored papers 6
Biomedical Research Institute, Stellenbosch University.
Co-authored papers 6
University of Pennsylvania
Co-authored papers 6
Northwestern University Feinberg School of Medicine
Co-authored papers 6
Feinberg School of Medicine, Northwestern University
Co-authored papers 6
University of Minnesota Medical School, 1035 University Drive duluth
Co-authored papers 5
University of Washington Medical Center
Co-authored papers 5
Hasso Plattner Institute for Digital Health at Mount Sinai
Co-authored papers 5
Biomedical Research Institute, Stellenbosch University.
Co-authored papers 4
Northwestern University, Center for Genetic Medicine
Co-authored papers 4
Cornell University
Co-authored papers 4
Marshfield Clinic Research Institute
Co-authored papers 4
Mayo Clinic
Co-authored papers 4
Vanderbilt University Medical Center
Co-authored papers 4
Geisinger Medical Center
Co-authored papers 3
Cleveland Institute for Computational Biology, Case Western Reserve University
Co-authored papers 3
Vanderbilt University Medical Center
Co-authored papers 3
Northwestern University Feinberg School of Medicine
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Vanderbilt University
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Vanderbilt University Medical Center
Co-authored papers 3