Rationale and design of the Duke Electrophysiology Genetic and Genomic Studies (EPGEN) biorepository.
BACKGROUND
Disturbances in cardiac rhythm can lead to significant morbidity and mortality. Many arrhythmias are known to have a heritable component, but the degree to which genetic variation contributes to disease risk and morbidity is poorly understood.


RESULTS
The EPGEN is a prospective single-center repository that archives DNA, RNA, and protein samples obtained at the time of an electrophysiologic evaluation or intervention. To identify genes and molecular variants that are associated with risk for arrhythmic phenotypes, EPGEN uses unbiased genomic screening; candidate gene analysis; and both unbiased and targeted transcript, protein, and metabolite profiling. To date, EPGEN has successfully enrolled >1,500 subjects. The median age of the study population is 62.9 years; 35% of the subjects are female and 21% are black. To this point, the study population has been composed of patients who had undergone defibrillator (implantable cardioverter-defibrillator or cardiac resynchronization therapy defibrillator) implantation (45%), electrophysiology studies or ablation procedures (35%), and pacemaker implantation or other procedures (20%). The cohort has a high prevalence of comorbidities, including diabetes (33%), hypertension (73%), chronic kidney disease (26%), and peripheral vascular disease (13%).


CONCLUSIONS
We have established a biorepository and clinical database composed of patients with electrophysiologic diseases. EPGEN will seek to (1) improve risk stratification, (2) elucidate mechanisms of arrhythmogenesis, and (3) identify novel pharmacologic targets for the treatment of heart rhythm disorders.
Koontz
Jason I
JI
Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA.
Haithcock
Daniel
D
Cumbea
Valerie
V
Waldron
Anthony
A
Stricker
Kristie
K
Hughes
Amy
A
Nilsson
Kent
K
Sun
Albert
A
Piccini
Jonathan P
JP
Kraus
William E
WE
Pitt
Geoffrey S
GS
Shah
Svati H
SH
Hranitzky
Patrick
P
D000368:Aged; D001145:Arrhythmias, Cardiac / Q000235:genetics* / Q000503:physiopathology; D054849:Cardiac Electrophysiology; D030541:Databases, Genetic; D005260:Female; D006801:Humans; D008297:Male; D010641:Phenotype; D011446:Prospective Studies; D012107:Research Design; D018570:Risk Assessment; D012307:Risk Factors