The proposed Scientific and Data Coordinating Center (SDCC) for the Chronic Kidney Disease (CKD) Biomarkers Consortium (BioCon) will support the scientific development and implementation of a broad array of research protocols conducted by Participating Centers and pilot grant awardees within the Consortium. The BioCon SDCC will enhance biomarker science in CKD by providing expertise and leadership in epidemiological study design, biostatistics, laboratory science, stewardship of biosample resources drawn from geographically dispersed sources, and the collaborative implementation of protocols conducted by the diverse members of the BioCon research network.
The specific aims proposed by the BioCon SDCC are to: 1) enhance biomarker research in CKD by providing scientific and laboratory leadership and coordination in the design and implementation of the four broad research protocols being implemented within the BioCon Network, 2) provide biostatistical expertise and leadership to optimize research designs, outcome measures and analytical approaches to investigate biomarker-outcome relationships through analysis of single cohort datasets and through meta-analyses that harmonize data across cohorts, 3) provide the biostatistical expertise and leadership to enable integration of data across the `omics' space (e.g., metabolomics, proteomics, genomics) for deeper understanding of biomarker-outcome relationships, 4) provide comprehensive administrative and logistical support for BioCon by promoting effective communication through the coordination and support of teleconferences, meetings, subcommittees, developing and managing documentation, maintaining a website for centralized resources, and preparing standard and special reports of BioCon activities, 5) coordinate and track the transfer of data and biospecimens between members of the Consortium and relevant laboratories and repositories, as well as to establish a comprehensive database of biospecimen attributes and biomarker data for approved research protocols, 6) promote network-wide quality assurance standards, practices and tools, and engage in quality control of biospecimen assays throughout the Consortium in close collaboration with the BioCon Quality Assurance Committee, and 7) continue to support the conduct of BioCon Pilot and Feasibility Projects and the integration of findings from these pilot studies into ongoing research within the Consortium.

Public Health Relevance

The Chronic Kidney Disease (CKD) Biomarkers Consortium (BioCon) will leverage stored biosamples drawn from geographically dispersed study populations and longitudinal clinical data from well-characterized individuals with CKD to discover and validate traditional and novel biomarkers for disease progression and related complications. The Scientific and Data Coordinating Center (SDCC) for the CKD BioCon will support scientific development and implementation of a broad array of research protocols conducted by Participating Research Centers and researchers who are awardees of BioCon pilot grants. The BioCon SDCC will support scientific development by providing expertise and leadership in epidemiological study design, biostatistics, and laboratory science, as well as stewardship of biosample resources and oversight of the collaborative implementation of protocols conducted by the diverse members of the BioCon research network.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
2U01DK103225-06
Application #
9929918
Study Section
Special Emphasis Panel (ZDK1)
Program Officer
Gossett, Daniel Robert
Project Start
2014-09-18
Project End
2021-07-31
Budget Start
2019-09-20
Budget End
2020-07-31
Support Year
6
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Saulnier, Pierre-Jean; Dieter, Brad P; Tanamas, Stephanie K et al. (2017) Association of Serum Amyloid A with Kidney Outcomes and All-Cause Mortality in American Indians with Type 2 Diabetes. Am J Nephrol 46:276-284
Dieter, Brad P; McPherson, Sterling M; Afkarian, Maryam et al. (2016) Serum amyloid a and risk of death and end-stage renal disease in diabetic kidney disease. J Diabetes Complications 30:1467-1472