Melissa A. Basford

发表

An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records

Christopher G. Chute, Joshua C. Denny, Abel N. Kho, 2010, J. Biomed. Informatics.

Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network.

Robert C. Green, Keith Marsolo, Casey Overby Taylor, 2019, American journal of human genetics.

Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies

Marylyn D. Ritchie, Joshua C. Denny, Dana C. Crawford, 2014, EvoApplications.

Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin

Hua Xu, Marylyn D. Ritchie, Joshua C. Denny, 2011, J. Am. Medical Informatics Assoc..

PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations

Marylyn D. Ritchie, Joshua C. Denny, Dana C. Crawford, 2010, Bioinform..

Abstract 222: PathLink: Leveraging clinical informatics to empower translational pathology by connecting biospecimens to outcomes

Melissa A. Basford, Jill M. Pulley, Jana K. Shirey-Rice, 2015 .

PheKB.org: An Online Collaboration Tool for Phenotype Algorithm Research

Joshua C. Denny, Peter Speltz, Melissa A. Basford, 2012, AMIA.

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability

Paul A. Harris, Gerard Tromp, Joshua C. Denny, 2016, J. Am. Medical Informatics Assoc..

Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience

Christopher G. Chute, Jyotishman Pathak, Melissa A. Basford, 2011, J. Am. Medical Informatics Assoc..

The Mid-South Clinical Data Research Network

Paul A. Harris, S. Trent Rosenbloom, Melissa A. Basford, 2014, J. Am. Medical Informatics Assoc..

Secondary use of clinical data: The Vanderbilt approach

Paul A. Harris, Xiaoming Wang, Melissa A. Basford, 2014, J. Biomed. Informatics.

Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network.

Melissa A. Basford, C. Chute, J. Denny, 2013, Journal of the American Medical Informatics Association : JAMIA.

Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record.

Melissa A. Basford, J. Haines, D. Roden, 2010, American journal of human genetics.

Predicting warfarin dosage in European-Americans and African-Americans using DNA samples linked to an electronic health record.

Melissa A. Basford, Raquel M. Zink, D. Roden, 2012, Pharmacogenomics.

Identification of Genomic Predictors of Atrioventricular Conduction: Using Electronic Medical Records as a Tool for Genome Science

Melissa A. Basford, J. Haines, D. Roden, 2010, Circulation.

Variants near FOXE1 are associated with hypothyroidism and other thyroid conditions: using electronic medical records for genome- and phenome-wide studies.

Melissa A. Basford, C. Chute, T. Manolio, 2011, American journal of human genetics.

Ethical and practical challenges of sharing data from genome-wide association studies: the eMERGE Consortium experience.

Melissa A. Basford, Wendy A. Wolf, S. Fullerton, 2011, Genome research.

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

Melissa A. Basford, Raquel M. Zink, J. Haines, 2013, Nature Biotechnology.

The All of Us Research Program: data quality, utility, and diversity

Lina M. Sulieman, Melissa A. Basford, David J. Schlueter, 2020, medRxiv.

Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder

Finale Doshi-Velez, Pei Chen, Joseph Bochenek, 2016, PloS one.

A prognostic model based on readily available clinical data enriched a pre-emptive pharmacogenetic testing program.

Joshua C Denny, Dan M Roden, Melissa A. Basford, 2016, Journal of clinical epidemiology.

Genetics of glucocorticoid-associated osteonecrosis in children with acute lymphoblastic leukemia.

Melissa A. Basford, M. Loh, M. Relling, 2015, Blood.

Genome- and Phenome-Wide Analyses of Cardiac Conduction Identifies Markers of Arrhythmia Risk

Melissa A. Basford, C. Carlson, J. Haines, 2013, Circulation.

Generalization of Variants Identified by Genome‐Wide Association Studies for Electrocardiographic Traits in African Americans

Melissa A. Basford, Janina M. Jeff, Wendy A. Wolf, 2013, Annals of human genetics.

The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

Melissa A. Basford, John J. Connolly, Marc S. Williams, 2013, Genetics in Medicine.

Enabling high-throughput genotype-phenotype associations in the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) project as part of the Population Architecture using Genomics and Epidemiology (PAGE) study.

Melissa A. Basford, Robert J. Goodloe, W. Bush, 2012, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Genome-wide study of resistant hypertension identified from electronic health records

Melissa A. Basford, Marc S. Williams, C. Chute, 2017, PloS one.

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.

Assessing the accuracy of observer-reported ancestry in a biorepository linked to electronic medical records

Joshua C Denny, Dan M Roden, Dana C Crawford, 2010, Genetics in Medicine.

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.

Abstract 19509: Identifying Genotype-Phenotype Relations in Electronic Medical Record Systems: Application to Warfarin Pharmacogenomics.

Marylyn D. Ritchie, Joshua C. Denny, Dana C. Crawford, 2010 .

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 .

Admixture Mapping and Subsequent Fine-Mapping Suggests a Biologically Relevant and Novel Association on Chromosome 11 for Type 2 Diabetes in African Americans

Melissa A. Basford, Janina M. Jeff, Wendy A. Wolf, 2014, PloS one.

An Automated Approach to Calculating the Daily Dose of Tacrolimus in Electronic Health Records

Son Doan, Joshua C. Denny, David W. Haas, 2010, Summit on translational bioinformatics.

Identification of Genomic Predictors of Atrioventricular ConductionClinical Perspective

Marylyn D. Ritchie, Joshua C. Denny, Dana C. Crawford, 2010 .

Modulators of normal ECG intervals identified in a large electronic medical record

Melissa A. Basford, D. Roden, J. Denny, 2011 .

Genetic variation among 82 pharmacogenes: The PGRNseq data from the eMERGE network

Melissa A. Basford, John J. Connolly, Terrie E. Kitchner, 2016, Clinical pharmacology and therapeutics.

The All of Us Research Program: Data quality, utility, and diversity

Lina M. Sulieman, Melissa A. Basford, David J. Schlueter, 2022, Patterns.

The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research.

Lina M. Sulieman, Melissa A. Basford, Andrea H. Ramirez, 2023, Annual review of biomedical data science.

Optimizing Drug Outcomes Through Pharmacogenetics: A Case for Preemptive Genotyping

Melissa A. Basford, J M Pulley, D M Roden, 2012, Clinical pharmacology and therapeutics.

Arrhythmia Risk Genome-and Phenome-Wide Analyses of Cardiac Conduction Identifies Markers of

Melissa A. Basford, C. Carlson, J. Haines, 2013 .

Assessment of a pharmacogenomic marker panel in a polypharmacy population identified from electronic medical records.

Nicole A. Restrepo, Melissa A. Basford, Niloufar B. Gillani, 2013, Pharmacogenomics.

The CTSA Consortium's Catalog of Assets for Translational and Clinical Health Research (CATCHR)

Michael Alcorn, David Allen, Nathaniel Hafer, 2014, Clinical and translational science.

The use of a DNA biobank linked to electronic medical records to characterize pharmacogenomic predictors of tacrolimus dose requirement in kidney transplant recipients

Marylyn D. Ritchie, David W. Haas, Leena Choi, 2012, Pharmacogenetics and genomics.

Genome- and Phenome-Wide Analyses of Cardiac Conduction Identifies Markers of Arrhythmia Risk

Melissa A. Basford, C. Carlson, C. Chute, 2013, Circulation.

Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis

Melissa A. Basford, R. Collins, A. Philippakis, 2023, Nature communications.

Cloud gazing: demonstrating paths for unlocking the value of cloud genomics through cross-cohort analysis

Melissa A. Basford, R. Collins, A. Philippakis, 2023, bioRxiv.

Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment

Melissa A. Basford, James G Terry, Ho Hin Lee, 2022, Journal of Digital Imaging.

Conducting a large, multi-site survey about patients’ views on broad consent: challenges and solutions

Jonathan S. Schildcrout, Melissa A. Basford, Stephanie M. Fullerton, 2016, BMC Medical Research Methodology.

When Participants in Genomic Research Grow Up: Contact and Consent at the Age of Majority.

Melissa A. Basford, John A. Lynch, Terrie E. Kitchner, 2016, The Journal of pediatrics.

Managing re-identification risks while providing access to the All of Us research program

Melissa A. Basford, E. Clayton, Murat Kantarcioglu, 2023, J. Am. Medical Informatics Assoc..

Modulators of normal electrocardiographic intervals identified in a large electronic medical record.

Joshua C Denny, Dan M Roden, Melissa A. Basford, 2011, Heart rhythm.

Predicting Clopidogrel Response Using DNA Samples Linked to an Electronic Health Record

Melissa A. Basford, Raquel M. Zink, D. Roden, 2012, Clinical pharmacology and therapeutics.

Genomic data in the All of Us Research Program

Matthew S. Lebo, Melissa A. Basford, Karynne E. Patterson, 2024, Nature.

How Fitbit data are being made available to registered researchers in All of Us Research Program

Melissa A. Basford, Michelle Holko, H. Master, 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.