M. Basford

发表

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.

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

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

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

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

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.

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.

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

R. Collins, A. Philippakis, M. Effingham, 2022, bioRxiv.

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.

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.

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.

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.

Secondary use of clinical data: The Vanderbilt approach

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

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..

Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network.

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

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.

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.

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.

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, W. Bush, K. Spencer, 2012, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

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.

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.

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

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

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..

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

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

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 .

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

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

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

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

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.

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.

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

D. Roden, J. Schildcrout, M. Ritchie, 2012, Clinical pharmacology and therapeutics.

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

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

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

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

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.

The Mid-South Clinical Data Research Network

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

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.

De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository.

R. Moffitt, M. Haendel, Wei-Qi Wei, 2023, Journal of the American Medical Informatics Association : JAMIA.

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..

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.

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..

Optimizing Drug Outcomes Through Pharmacogenetics: A Case for Preemptive Genotyping

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