The Administrative Core (Core B) provides overall direction and financial management of the ProgramProject and coordinates activities among the various projects and cores to assure smooth interaction amongall components. The responsibilities of this Core include preparation of progress reports, review ofmanuscripts, scheduling of Executive Committee meetings and other scientific meetings among projectinvestigators, scheduling of consultant visits, reviewing of requests for use of San Antonio Family HeartStudy (SAFHS) data or samples by investigators outside the SAFHS, and monitoring of scientific progress ofeach component and of the program as a whole. The Administrative Core also provides assistance toproject investigators in preparing budgets and in monitoring project expenditures, prepares purchaserequisitions and personnel forms, and coordinates administrative and financial matters between theSouthwest Foundation and the University of Texas Health Science Center.Major scientific decisions regarding the program as a whole are made by Drs. Blangero, MacCluer, andStern in consultation with the Executive Committee, which consists of the Project and Core Leaders and Co-Leaders. Meetings of all Program Project investigators are held once a month, or more often if the needarises. At the monthly meetings, investigators review progress and problems in data management,phenotyping, and analysis, discuss recent research progress, describe ongoing work, and bring up anyissues that require resolution by the group as a whole.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
2P01HL045522-16A1
Application #
7470233
Study Section
Heart, Lung, and Blood Initial Review Group (HLBP)
Project Start
2008-06-01
Project End
2013-03-31
Budget Start
2008-06-01
Budget End
2009-03-31
Support Year
16
Fiscal Year
2008
Total Cost
$169,353
Indirect Cost
Name
Texas Biomedical Research Institute
Department
Type
DUNS #
007936834
City
San Antonio
State
TX
Country
United States
Zip Code
78245
Konigorski, Stefan; Wang, Yuan; Cigsar, Candemir et al. (2018) Estimating and testing direct genetic effects in directed acyclic graphs using estimating equations. Genet Epidemiol 42:174-186
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Mamtani, Manju; Kulkarni, Hemant; Wong, Gerard et al. (2016) Lipidomic risk score independently and cost-effectively predicts risk of future type 2 diabetes: results from diverse cohorts. Lipids Health Dis 15:67
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