Catherine A. McCarty

发表

Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin

Marylyn D. Ritchie, Peggy L. Peissig, John R. Wallace, 2016, PSB.

Importance of multi-modal approaches to effectively identify cataract cases from electronic health records

Lin Chen, Joshua C. Denny, Jyotishman Pathak, 2012, J. Am. Medical Informatics Assoc..

Largescale Distributed PPM Databases: Harmonizing and Standardizing PPM Cohorts and Clinical Genomics Data Sharing Consortia

Catherine A. McCarty, Deanna Cross, 2020 .

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields

David Page, Chunming Zhang, Peggy L. Peissig, 2012, AISTATS.

Development of reusable logic for determination of statin exposure-time from electronic health records

Catherine A. McCarty, Deanna S. Cross, Aaron W. Miller, 2014, J. Biomed. Informatics.

Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network

Christopher G. Chute, Lisa Bastarache, Dana C. Crawford, 2012, AMIA.

Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms

David Page, Jude W. Shavlik, Peggy L. Peissig, 2013, AMIA.

Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction

David Page, Yirong Wu, Peggy L. Peissig, 2014, AMIA.

Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records

Sriraam Natarajan, David Page, Peggy L. Peissig, 2012, IAAI.

Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit

Marylyn D. Ritchie, Shefali S. Verma, Scott M. Dudek, 2012, Pacific Symposium on Biocomputing.

Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records

Sriraam Natarajan, David Page, Peggy L. Peissig, 2012, AI Mag..

Enrichment sampling for a multi-site patient survey using electronic health records and census data

Sarah C. Stallings, Jonathan S. Schildcrout, Gail P. Jarvik, 2019, J. Am. Medical Informatics Assoc..

ERRATUM: NEXT-GENERATION ANALYSIS OF CATARACTS: DETERMINING KNOWLEDGE DRIVEN GENE-GENE INTERACTIONS USING BIOFILTER, AND GENE-ENVIRONMENT INTERACTIONS USING THE PHENX TOOLKIT.

Marylyn D. Ritchie, Scott M. Dudek, John R. Wallace, 2015, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies

David Page, Chunming Zhang, Peggy L. Peissig, 2012, UAI.

Development of an optical character recognition pipeline for handwritten form fields from an electronic health record

Peggy L. Peissig, Justin Starren, Luke V. Rasmussen, 2012, J. Am. Medical Informatics Assoc..

Benefits of Accurate Imputations in GWAS

Marylyn D. Ritchie, Shefali S. Verma, Peggy L. Peissig, 2014, EvoApplications.

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network

Marylyn D. Ritchie, Yukiko Bradford, Scott M. Dudek, 2016, BioData Mining.

Quantification of the clinical modifiers impacting high-density lipoprotein cholesterol in the community: Personalized Medicine Research Project.

Peggy L. Peissig, Justin Starren, Russell A. Wilke, 2010, Preventive cardiology.

432: Informed Consent and Subject Motivation to Participate in a Large, Population-Based Genomics Study: The Marshfield Clinic Personalized Medicine Research Project

Catherine A. McCarty, C. McCarty, P. Giampietro, 2005 .

Identification of Four Novel Loci in Asthma in European American and African American Populations

Peggy L. Peissig, Jennifer A. Pacheco, Iftikhar J. Kullo, 2017, American journal of respiratory and critical care medicine.

Mechanistic Phenotypes: An Aggregative Phenotyping Strategy to Identify Disease Mechanisms Using GWAS Data

Gerard Tromp, Yan Guo, Marylyn D. Ritchie, 2013, PloS one.

Intraocular Pressure Response to Medication in a Clinical Setting: The Marshfield Clinic Personalized Medicine Research Project

Russell A. Wilke, Catherine A. McCarty, Terrie E. Kitchner, 2008, Journal of glaucoma.

Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US.

Jonathan S. Schildcrout, Stephanie M. Fullerton, Gail P. Jarvik, 2017, American journal of human genetics.

Genetic Variants Associated with Serum Thyroid Stimulating Hormone (TSH) Levels in European Americans and African Americans from the eMERGE Network

Suzette J. Bielinski, Christopher G. Chute, Marylyn D. Ritchie, 2014, PloS one.

Return of results in the genomic medicine projects of the eMERGE network

Iftikhar J. Kullo, Helena Kuivaniemi, Gail P. Jarvik, 2014, Front. Genet..

Design and Anticipated Outcomes of the eMERGE-PGx Project: A Multi-Center Pilot for Pre-Emptive Pharmacogenomics in Electronic Health Record Systems

Suzette J. Bielinski, Christopher G. Chute, Marylyn D. Ritchie, 2014, Clinical pharmacology and therapeutics.

A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects

Christopher G. Chute, Marylyn D. Ritchie, Joshua C. Denny, 2013, Human Genetics.

Genome-Wide Association of Lipid-Lowering Response to Statins in Combined Study Populations

Paul T. Williams, Russell A. Wilke, Matthew Stephens, 2010, PloS one.

Electronic medical records and genomics (eMERGE) network exploration in cataract: Several new potential susceptibility loci

Marylyn D. Ritchie, Joshua C. Denny, Shefali S. Verma, 2014, Molecular vision.

Genome-and Phenome-Wide Analysis of Cardiac Conduction Identifies Markers of Arrhythmia Risk Running title : Ritchie et al . ; QRS GWAS and PheWAS in electronic records

Christopher G. Chute, Marylyn D. Ritchie, Joshua C. Denny, 2013 .

Hypothesis-independent pathway analysis implicates GABA and Acetyl-CoA metabolism in primary open-angle glaucoma and normal-pressure glaucoma

Margaret A. Pericak-Vance, Robert N. Weinreb, Peter Kraft, 2014, Human Genetics.

New Models for Large Prospective Studies: Is There a Better Way?

Tim Peakman, Catherine A. McCarty, J. Michael Gaziano, 2012, American journal of epidemiology.

A Common CNR1 (Cannabinoid Receptor 1) Haplotype Attenuates the Decrease in HDL Cholesterol That Typically Accompanies Weight Gain

Russell A. Wilke, Catherine A. McCarty, Richard L. Berg, 2010, PloS one.

Knowledge-Driven Multi-Locus Analysis Reveals Gene-Gene Interactions Influencing HDL Cholesterol Level in Two Independent EMR-Linked Biobanks

Marylyn D. Ritchie, Joshua C. Denny, Dana C. Crawford, 2011, PloS one.

Stakeholder engagement: a key component of integrating genomic information into electronic health records

Erica A. Bowton, Andrea Hartzler, Kadija Ferryman, 2013, Genetics in Medicine.

Clinical & Experimental Ophthalmology

John J. McNeil, Catherine A. McCarty, Hugh R. Taylor, 2000 .

Return of individual research results from genome-wide association studies: experience of the Electronic Medical Records and Genomics (eMERGE) Network

Marylyn D. Ritchie, Joshua C. Denny, Eugenia R. McPeek Hinz, 2012, Genetics in Medicine.

Informed Consent and Subject Motivation to Participate in a Large, Population-Based Genomics Study: The Marshfield Clinic Personalized Medicine Research Project

Catherine A. McCarty, C. McCarty, P. Giampietro, 2006, Public Health Genomics.

Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index

Suzette J. Bielinski, Gerard Tromp, Christopher G. Chute, 2014, Front. Genet..

Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci

Gerard Tromp, Marylyn D. Ritchie, Dana C. Crawford, 2017, Circulation research.

Validity of Eight Integrated Healthcare Delivery Organizations' Administrative Clinical Data to Capture Breast Cancer Chemotherapy Exposure

Roy Pardee, Catherine A. McCarty, Adedayo A. Onitilo, 2012, Cancer Epidemiology, Biomarkers & Prevention.