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

Journal of the American Medical Informatics Association : JAMIA, 2016-11, Vol.23 (6), p.1046-1052

2016

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Electronic medical records for genetic research: results of the eMERGE consortium

Science translational medicine, 2011-04, Vol.3 (79), p.79re1

2011

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

American journal of respiratory and critical care medicine, 2017-02, Vol.195 (4), p.456-463

2017

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PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies

Nature communications, 2017-10, Vol.8 (1), p.1167-10, Article 1167

2017

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

The AI magazine, 2012-12, Vol.33 (4), p.33-45

2012

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Comparison of Brand versus Generic Antiepileptic Drug Adverse Event Reporting Rates in the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS)

Epilepsy research, 2017-09, Vol.135, p.71-78

2017

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A Trans -Ethnic Genome-Wide Association Study of Uterine Fibroids

Frontiers in genetics, 2019-06, Vol.10, p.511-511

2019

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Knowledge-driven multi-locus analysis reveals gene-gene interactions influencing HDL cholesterol level in two independent EMR-linked biobanks

PloS one, 2011-05, Vol.6 (5), p.e19586-e19586

2011

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Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions

BMC medical informatics and decision making, 2022-01, Vol.22 (1), p.23-23, Article 23

2022

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A GWAS Study on Liver Function Test Using eMERGE Network Participants

PloS one, 2015-09, Vol.10 (9), p.e0138677-e0138677

2015

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Methodological Considerations for Comparison of Brand Versus Generic Versus Authorized Generic Adverse Event Reports in the US Food and Drug Administration Adverse Event Reporting System (FAERS)

Clinical drug investigation, 2017-12, Vol.37 (12), p.1143-1152

2017

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

Journal of the American Medical Informatics Association : JAMIA, 2013-06, Vol.20 (e1), p.e147-e154

2013

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Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy

Academic radiology, 2016-01, Vol.23 (1), p.62-69

2016

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Performance of an electronic health record-based phenotype algorithm to identify community associated methicillin-resistant Staphylococcus aureus cases and controls for genetic association studies

BMC infectious diseases, 2016-11, Vol.16 (1), p.684-684, Article 684

2016

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Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network

Journal of the American Medical Informatics Association : JAMIA, 2019-02, Vol.26 (2), p.143-148

2019

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Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study

Journal of the American Medical Informatics Association : JAMIA, 2012-03, Vol.19 (2), p.212-218

2012

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LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins

Circulation (New York, N.Y.), 2018-10, Vol.138 (17), p.1839-1849

2018

Volltextzugriff (PDF)

Cataract research using electronic health records

BMC ophthalmology, 2011-11, Vol.11 (1), p.32-32, Article 32

2011

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Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals

Journal of the American Medical Informatics Association : JAMIA, 2017-01, Vol.24 (1), p.162-171

2017

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Desiderata for computable representations of electronic health records-driven phenotype algorithms

Journal of the American Medical Informatics Association : JAMIA, 2015-11, Vol.22 (6), p.1220-1230

2015

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Practical challenges in integrating genomic data into the electronic health record

Genetics in medicine, 2013-10, Vol.15 (10), p.772-778

2013

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

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

Electronic medical records for genetic research: results of the eMERGE consortium

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

PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies

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

Comparison of Brand versus Generic Antiepileptic Drug Adverse Event Reporting Rates in the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS)

A Trans -Ethnic Genome-Wide Association Study of Uterine Fibroids

Knowledge-driven multi-locus analysis reveals gene-gene interactions influencing HDL cholesterol level in two independent EMR-linked biobanks

Genetic variants associated with serum thyroid stimulating hormone (TSH) levels in European Americans and African Americans from the eMERGE Network

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions

Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies

A GWAS Study on Liver Function Test Using eMERGE Network Participants

Methodological Considerations for Comparison of Brand Versus Generic Versus Authorized Generic Adverse Event Reports in the US Food and Drug Administration Adverse Event Reporting System (FAERS)

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

Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy

Performance of an electronic health record-based phenotype algorithm to identify community associated methicillin-resistant Staphylococcus aureus cases and controls for genetic association studies

Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network

Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study

LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins

Cataract research using electronic health records

Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals

Desiderata for computable representations of electronic health records-driven phenotype algorithms

Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm

Practical challenges in integrating genomic data into the electronic health record

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