A Guide for a Cardiovascular Genomics Biorepository: the CATHGEN Experience.
The CATHeterization GENetics (CATHGEN) biorepository was assembled in four phases. First, project start-up began in 2000. Second, between 2001 and 2010, we collected clinical data and biological samples from 9334 individuals undergoing cardiac catheterization. Samples were matched at the individual level to clinical data collected at the time of catheterization and stored in the Duke Databank for Cardiovascular Diseases (DDCD). Clinical data included the following: subject demographics (birth date, race, gender, etc.); cardiometabolic history including symptoms; coronary anatomy and cardiac function at catheterization; and fasting chemistry data. Third, as part of the DDCD regular follow-up protocol, yearly evaluations included interim information: vital status (verified via National Death Index search and supplemented by Social Security Death Index search), myocardial infarction (MI), stroke, rehospitalization, coronary revascularization procedures, medication use, and lifestyle habits including smoking. Fourth, samples were used to generate molecular data. CATHGEN offers the opportunity to discover biomarkers and explore mechanisms of cardiovascular disease.
Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, 27710, USA. william.kraus@duke.edu.|Duke Molecular Physiology Institute, School of Medicine, Duke University, 300 N. Duke Street, Durham, NC, 27710, USA. william.kraus@duke.edu.
William E
http://orcid.org/0000-0003-1930-9684
WE
Kraus
Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, 27710, USA.|Duke Clinical Research Institute, School of Medicine, Duke University, Durham, NC, 27710, USA.
Christopher B
CB
Granger
Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, 27710, USA.
Michael H
MH
Sketch
Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, 27710, USA.
Mark P
MP
Donahue
Duke Center for Applied Genomics and Precision Medicine, Duke University, Durham, NC, 27710, USA.
Geoffrey S
GS
Ginsburg
Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, 27710, USA.|Duke Molecular Physiology Institute, School of Medicine, Duke University, 300 N. Duke Street, Durham, NC, 27710, USA.
Elizabeth R
ER
Hauser
Duke Molecular Physiology Institute, School of Medicine, Duke University, 300 N. Duke Street, Durham, NC, 27710, USA.
Carol
C
Haynes
Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, 27710, USA.|Duke Clinical Research Institute, School of Medicine, Duke University, Durham, NC, 27710, USA.
L Kristin
LK
Newby
Duke Molecular Physiology Institute, School of Medicine, Duke University, 300 N. Duke Street, Durham, NC, 27710, USA.
Melissa
M
Hurdle
Duke Molecular Physiology Institute, School of Medicine, Duke University, 300 N. Duke Street, Durham, NC, 27710, USA.
Z Elaine
ZE
Dowdy
Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, 27710, USA.|Duke Molecular Physiology Institute, School of Medicine, Duke University, 300 N. Duke Street, Durham, NC, 27710, USA.
Svati H
SH
Shah
D018070:Biological Specimen Banks / Q000458:organization & administration; D002318:Cardiovascular Diseases / Q000175:diagnosis / Q000235:genetics* / Q000628:therapy; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D059647:Gene-Environment Interaction; D056726:Genetic Association Studies; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing / Q000379:methods; D023281:Genomics / Q000379:methods* / Q000458:organization & administration; D006801:Humans; D018973:Intellectual Property; D017146:Models, Organizational; D010641:Phenotype; D011237:Predictive Value of Tests; D011379:Prognosis; D012307:Risk Factors; D013048:Specimen Handling; D013997:Time Factors
D005819:Genetic Markers
Air pollution; Biomarkers; Biorepository; Cardiometabolic disease; Cardiovascular disease; Genetics; Genomics; Geocoding; Metabolomics