Leveraging electronic health records to study pleiotropic effects on bipolar disorder and medical comorbidities

Keyphrases

• Bipolar Disorder 100%
• Bipolar Disorder Risk 14%
• Bonferroni 14%
• CACNA1C Gene 14%
• Cardiovascular Phenotype 14%
• Co-occurring Medical Conditions 14%
• Comorbid 14%
• Comorbidity 14%
• Electronic Health Record Data 14%
• Electronic Health Records 100%
• Essential Hypertension 14%
• Genetic Risk 14%
• Genetic Variants 28%
• Genome-wide Single nucleotide Polymorphisms 14%
• High Prevalence 14%
• Hypertension 14%
• Large Cohort 14%
• Medical Comorbidity 100%
• Medical Conditions 14%
• Medical Illness 28%
• Multiple Testing Correction 28%
• Odds Ratio 28%
• Pleiotropic Effects 100%
• Psychiatric Traits 14%
• Single nucleotide Polymorphism 28%
• SNP 14%
• SVEP1 28%
• Ventricular Arrhythmia 14%

Biochemistry, Genetics and Molecular Biology

• Allele 25%
• Cardiac Dysrhythmia 25%
• Comorbidity 100%
• Electronic Health Record 100%
• Genetic Divergence 50%
• Pleiotropy 100%
• Prevalence 25%
• Single Nucleotide Polymorphism 25%
• Single-Nucleotide Polymorphism 75%

Immunology and Microbiology

• Allele 25%
• Cardiovascular System 25%
• Comorbidity 100%
• Electronic Health Record 100%
• Genetic Susceptibility 25%
• Pleiotropy 100%
• Prevalence 25%
• Single Nucleotide Polymorphism 100%