Abstract

HyperGEN is a """"""""Hypertension Genetic Epidemiology Network"""""""" comprised of six field centers (in six different states: AL, MA, MN, MS, NC, UT), a molecular biology laboratory, a central biochemistry laboratory, and a central data coordinating center. This collaborative Network proposes to find and characterize genes promoting hypertension in humans and study interacting non-genetic factors. The Data Coordinating Center supported by this specific grant will: l. Help finalize and pilot the common protocol in the first year. 2. Develop, pilot, and install a distributed data entry and management system at each field center. Develop, pilot, and implement data transfer protocols among the three central agencies (molecular biology lab, biochemistry lab, and the data coordinating center). 3. Provide general-support to all HyperGEN network components that would ordinarily be expected of a data coordinating center, including the monitoring of data quality and study progress, and the preparation of data management reports periodically. 4. Actively participate in the Internal Network Coordinating Committee and any of its subcommittees, as well as the Inter-Network Program Steering Committee if asked to do so. 5. Actively participate in collaborative data analyses and preparation of publications.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Cooperative Clinical Research--Cooperative Agreements (U10)
Project #
5U10HL054473-05
Application #
6056298
Study Section
Special Emphasis Panel (ZHL1-CCT-M (F2))
Project Start
1995-09-05
Project End
2000-08-31
Budget Start
1999-09-01
Budget End
2000-08-31
Support Year
5
Fiscal Year
1999
Total Cost
Indirect Cost

  Institution

Name
Washington University
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
062761671
City
Saint Louis
State
MO
Country
United States
Zip Code
63130

  Publications

Wild, Philipp S; Felix, Janine F; Schillert, Arne et al. (2017) Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function. J Clin Invest 127:1798-1812
Steenstrup, Troels; Kark, Jeremy D; Verhulst, Simon et al. (2017) Telomeres and the natural lifespan limit in humans. Aging (Albany NY) 9:1130-1142
Nandakumar, Priyanka; Lee, Dongwon; Richard, Melissa A et al. (2017) Rare coding variants associated with blood pressure variation in 15?914 individuals of African ancestry. J Hypertens 35:1381-1389
Selvaraj, Senthil; Djoussé, Luc; Aguilar, Frank G et al. (2017) Association of Estimated Sodium Intake With Adverse Cardiac Structure and Function: From the HyperGEN Study. J Am Coll Cardiol 70:715-724
Wang, Heming; Choi, Yoonha; Tayo, Bamidele et al. (2017) Genome-wide survey in African Americans demonstrates potential epistasis of fitness in the human genome. Genet Epidemiol 41:122-135
Aguilar, Frank G; Selvaraj, Senthil; Martinez, Eva E et al. (2016) Archeological Echocardiography: Digitization and Speckle Tracking Analysis of Archival Echocardiograms in the HyperGEN Study. Echocardiography 33:386-97
Taylor, Jacquelyn Y; Schwander, Karen; Kardia, Sharon L R et al. (2016) A Genome-wide study of blood pressure in African Americans accounting for gene-smoking interaction. Sci Rep 6:18812
Olfson, E; Saccone, N L; Johnson, E O et al. (2016) Rare, low frequency and common coding variants in CHRNA5 and their contribution to nicotine dependence in European and African Americans. Mol Psychiatry 21:601-7
Selvaraj, Senthil; Martinez, Eva E; Aguilar, Frank G et al. (2016) Association of Central Adiposity With Adverse Cardiac Mechanics: Findings From the Hypertension Genetic Epidemiology Network Study. Circ Cardiovasc Imaging 9:
Mangino, Massimo; Christiansen, Lene; Stone, Rivka et al. (2015) DCAF4, a novel gene associated with leucocyte telomere length. J Med Genet 52:157-62

Showing the most recent 10 out of 62 publications