The Administrative core will be responsible forthe overall management, communication, coordination and supervision of the grant. The Core will coordinate interaction between the 5 Study Sites, the Project P.l.s and Core directors. The Administrative Core will facilitate progress and completion of individual projects. The Core will schedule investigator meetings and conference calls, produce a quarteriy report to keep sites abreast ofthe progress ofthe studies, report to the NIH Steering Committee (and Core personnel will attend Steering Committee meetings), and ultimately assist in manuscript preparation, research reports and correspondence for investigators. The grant requires specimen and clinical data collection at the sites, transmission ofthe specimens to the central labs, and transmission of the clinical data to the multicenter database. The Core will facilitate seamless interaction between sites. Project, and Core personnel. The Core will be responsible for the disbursement of funds and for the preparation of the annual progress reports for the NIH.

Public Health Relevance

Our grant consists of 5 Study Sites, 3 Cores, and 2 Projects. The Administrative Core will facilitate progress toward our goals: to determine if genetic variation is associated with kidney transplant outcome and /or immunosuppressive drug disposition and toxicity. Our findings may lead to the ability to individualize immunosuppressive therapy based on genetics to improve recipient outcome, and may elicit new information on pathways important in the immune response or in immunosuppressive drug efficacy, disposition, and toxicity.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI070119-08
Application #
8516964
Study Section
Special Emphasis Panel (ZAI1-MFH-I)
Project Start
2013-08-01
Project End
2016-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
8
Fiscal Year
2013
Total Cost
$836,895
Indirect Cost
$126,231
Name
University of Minnesota Twin Cities
Department
Type
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Oetting, William S; Guan, Weihua; Schladt, David P et al. (2014) Telomere length of recipients and living kidney donors and chronic graft dysfunction in kidney transplants. Transplantation 97:325-9
Claes, Kathleen J; Heye, Sam; Bammens, Bert et al. (2013) Aortic calcifications and arterial stiffness as predictors of cardiovascular events in incident renal transplant recipients. Transpl Int 26:973-81
Israni, Ajay K; Leduc, Robert; Jacobson, Pamala A et al. (2013) Inflammation in the setting of chronic allograft dysfunction post-kidney transplant: phenotype and genotype. Clin Transplant 27:348-58
Israni, Ajay K; Riad, Samy M; Leduc, Robert et al. (2013) Tacrolimus trough levels after month 3 as a predictor of acute rejection following kidney transplantation: a lesson learned from DeKAF Genomics. Transpl Int 26:982-9
Jacobson, Pamala A; Schladt, David; Israni, Ajay et al. (2012) Genetic and clinical determinants of early, acute calcineurin inhibitor-related nephrotoxicity: results from a kidney transplant consortium. Transplantation 93:624-31
Jacobson, Pamala A; Schladt, David; Oetting, William S et al. (2011) Genetic determinants of mycophenolate-related anemia and leukopenia after transplantation. Transplantation 91:309-16
Jacobson, Pamala A; Oetting, William S; Brearley, Ann M et al. (2011) Novel polymorphisms associated with tacrolimus trough concentrations: results from a multicenter kidney transplant consortium. Transplantation 91:300-8
Oetting, William S; Schladt, David P; Leduc, Robert E et al. (2011) Validation of single nucleotide polymorphisms associated with acute rejection in kidney transplant recipients using a large multi-center cohort. Transpl Int 24:1231-8
Passey, Chaitali; Birnbaum, Angela K; Brundage, Richard C et al. (2011) Dosing equation for tacrolimus using genetic variants and clinical factors. Br J Clin Pharmacol 72:948-57
Mannon, Roslyn B (2010) Immune monitoring and biomarkers to predict chronic allograft dysfunction. Kidney Int Suppl :S59-65

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