Research Collaborations

The Scientific and Data Coordinating Center at Penn provides ongoing support for a number of Ancillary Studies supported by the CRIC Cohort utilizing both CRIC study participants and biological samples obtained from CRIC study participants. Through the CRIC Ancillary Studies Program, investigators have an opportunity to tap into the rich CRIC data to pursue their own research goals.

In addition to the CRIC Clinical Centers listed on the Participating Institutions page, collaborative research partnerships have been conducted at dozens of institutions across the country and internationally. The full list of funded CRIC Ancillary Studies are listed by year of funding.

The CRIC Ancillary Study Policy provides information regarding the requirements and procedures for approval of an ancillary study. See section XII for instructions on the submission and review process. Also see Template for Ancillary Study Submission.

Ancillary Studies in Phase 5

In July 2023, the CRIC study entered the final phase of NIDDK funding, during which the clinical centers will remain active for 3 additional years and the Scientific and Data Coordinating Center (SDCC) will remain active for 5 years.

The CRIC Study is currently accepting ancillary study proposals for studies using existing data and samples, as well as new data collection from participants.

If you are proposing an ancillary study that would collect new data from CRIC participants please contact the SDCC or a CRIC clinical center investigator to discuss your proposal in advance of submission. The SDCC can work with you to develop plans for implementation of the ancillary study during this final phase of the CRIC Study when in-person visits are limited. You can reach out to the SDCC by submitting a request on the “Contact Us” page of this website.

Please note that ancillary study proposals should be submitted to the CRIC SDCC 3 to 4 months prior to the grant submission date.

CRIC Scientific Discoveries

Chronic kidney disease is common in the US population, and we understand that it increases the risk of cardiovascular disease. However, risk scores have not been generated specifically for identifying CKD patients, who are most likely to develop heart disease. In this large-scale proteomics study, we measured nearly 5,000 proteins and used machine learning methods to generate and validate a 32-protein risk score. This score surpassed clinical risk models for predicting incident cardiovascular disease.
Learn more ❯❯

CRIC Collaborations

The CRIC Scientific and Data Coordinating Center at Penn receives data and provides ongoing support for a number of Ancillary Studies approved by the CRIC Cohort utilizing both data collected about CRIC study participants as well as their biological samples.
Learn more about collaborating with CRIC >>
Copyright © 2012-2024 Chronic Renal Insufficiency Cohort Study || Site Map