An analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records

Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics Initiative

(2018) Lars G. Fritsche et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Signal Detection for Recently Approved Products: Adapting and Evaluating Self-Controlled Case Series Method Using a US Claims and UK Electronic Medical Records Database

(2018) Xiaofeng Zhou et al.   DRUG SAFETY

Electronic health records: the next wave of complex disease genetics

(2018) Brooke N Wolford et al.   HUMAN MOLECULAR GENETICS

Association of low-activity ALDH2 and alcohol consumption with risk of esophageal cancer in Chinese adults: A population-based cohort study

(2018) Canqing Yu et al.   INTERNATIONAL JOURNAL OF CANCER

The personal and clinical utility of polygenic risk scores

(2018) Ali Torkamani et al.   NATURE REVIEWS GENETICS

Phenotype validation in electronic health records based genetic association studies

(2017) Lu Wang et al.   GENETIC EPIDEMIOLOGY

PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data

(2017) Jing Huang et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Phenome-Wide Association Study of Autoantibodies to Citrullinated and Noncitrullinated Epitopes in Rheumatoid Arthritis

(2017) Katherine P. Liao et al.   Arthritis & Rheumatology

Controlling for Informed Presence Bias Due to the Number of Health Encounters in an Electronic Health Record

(2016) Benjamin A. Goldstein et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Unravelling the human genome–phenome relationship using phenome-wide association studies

(2016) William S. Bush et al.   NATURE REVIEWS GENETICS

Validation of Electronic Health Record Phenotyping of Bipolar Disorder Cases and Controls

(2015) Victor M. Castro et al.   AMERICAN JOURNAL OF PSYCHIATRY

Development of phenotype algorithms using electronic medical records and incorporating natural language processing

(2015) K. P. Liao et al.   BMJ-British Medical Journal

Development of phenotype algorithms using electronic medical records and incorporating natural language processing

(2015) K. P. Liao et al.   BMJ-British Medical Journal

R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment

(2014) Robert J. Carroll et al.   BIOINFORMATICS

Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records

(2014) Jennifer A. Sinnott et al.   HUMAN GENETICS

Classification accuracy of claims-based methods for identifying providers failing to meet performance targets

(2014) Rebecca A. Hubbard et al.   STATISTICS IN MEDICINE

A general regression framework for a secondary outcome in case-control studies

(2013) E. J. Tchetgen Tchetgen   BIOSTATISTICS

Power and Predictive Accuracy of Polygenic Risk Scores

(2013) Frank Dudbridge   PLoS Genetics

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

(2010) J. C. Denny et al.   BIOINFORMATICS