Single Source for the Continuation of the Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Center (Collaborative U01 Clinical Trial Not Allowed)

Key Facts

Status: Open

Posted date: January 29, 2026

Opportunity ID: 361213

Opportunity number: RFA-DK-27-112

Opportunity category: Discretionary

Agency name: National Institutes of Health

Agency code: HHS-NIH11

Award floor: $0

Award ceiling: $0

Cost sharing required: No

Funding Instrument Types
  • Cooperative Agreement
Category of Funding Activity
  • Health
Eligible Applicants
  • Private institutions of higher education
  • Public and State controlled institutions of higher education
Tools
Categories (use these for quoted searches)
  • agency_code:hhs_nih11
  • category_of_funding_activity:health
  • cost_sharing_or_matching_requirement:false
  • eligible_applicants:private_institutions_of_higher_education
  • eligible_applicants:public_and_state_controlled_institutions_of_higher_education
  • funding_instrument_type:cooperative_agreement
  • opportunity_category:discretionary
  • status:open
Description

The primary purpose of this FOA is to support the EDIC Research Center in continuing long-term follow-up of the EDIC cohort to study the development and progression of complications in type 1 diabetes (T1D). The research will address severe microvascular disease, cardiovascular and liver disease, sleep disorders, mortality, and other comorbidities. The goals are to investigate the trajectory of age-related morbidities such as cognition, physical function, and frailty, and to identify their associations with risk factors that affect quality of life, self-management, and caregiver burden. Particular emphasis will be placed on evaluating the impact of emerging therapies, including SGLT2 inhibitors and GLP-1 receptor agonists, on renal and cardiovascular outcomes.The initiative also encourages the application of advanced statistical methods, including machine learning and artificial intelligence, to identify phenotypes that are either susceptible or resilient to diabetes-related complications. Modern technologies, such as continuous glucose monitoring, coronary calcification imaging, and vascular tonometry, will be used and compared with data from existing cohorts. In addition, the program will support assessments of obesity-related outcomes and comorbidities—including metabolic-associated steatotic liver disease (MASLD) and obstructive sleep apnea (OSA)—within the increasingly overweight/obese T1D population. Multi-omic approaches to identify biochemical signatures associated with complications are also expected. Finally, the leveraging of external databases to examine the cost-effectiveness and quality-of-life impact of intensive therapy across the lifespan will be encouraged.This is a Forecast for a single source competition that will invite application(s) from eligible organization(s) to apply. Please see Eligibility Section for additional information. In accordance with NIH standard peer-review processes, the application(s) will be peer-reviewed, and only meritorious application(s) will be considered for funding.

Single Source for the Continuation of the Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Center (Collaborative U01 Clinical Trial Not Allowed)
The primary purpose of this FOA is to support the EDIC Research Center in continuing long-term follow-up of the EDIC cohort to study the development and progression of complications in type 1 diabetes (T1D). The research will address severe microvascular disease, cardiovascular and liver disease, sleep disorders, mortality, and other comorbidities. The goals are to investigate the trajectory of age-related morbidities such as cognition, physical function, and frailty, and to identify their associations with risk factors that affect quality of life, self-management, and caregiver burden. Particular emphasis will be placed on evaluating the impact of emerging therapies, including SGLT2 inhibitors and GLP-1 receptor agonists, on renal and cardiovascular outcomes.The initiative also encourages the application of advanced statistical methods, including machine learning and artificial intelligence, to identify phenotypes that are either susceptible or resilient to diabetes-related complications. Modern technologies, such as continuous glucose monitoring, coronary calcification imaging, and vascular tonometry, will be used and compared with data from existing cohorts. In addition, the program will support assessments of obesity-related outcomes and comorbidities—including metabolic-associated steatotic liver disease (MASLD) and obstructive sleep apnea (OSA)—within the increasingly overweight/obese T1D population. Multi-omic approaches to identify biochemical signatures associated with complications are also expected. Finally, the leveraging of external databases to examine the cost-effectiveness and quality-of-life impact of intensive therapy across the lifespan will be encouraged.This is a Forecast for a single source competition that will invite application(s) from eligible organization(s) to apply. Please see Eligibility Section for additional information. In accordance with NIH standard peer-review processes, the application(s) will be peer-reviewed, and only meritorious application(s) will be considered for funding.
Single Source for the Continuation of the Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Center (Collaborative U01 Clinical Trial Not Allowed)
Open
National Institutes of Health
Health
Cooperative Agreement
Public and State controlled institutions of higher education
Private institutions of higher education
2026-01-29