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Department of Health and Human Services, National Institutes of Health

NHLBI TOPMed: Omics Phenotypes of Heart, Lung, and Blood Disorders (X01 - Clinical Trial Not Allowed)

Who can apply

  • Federally recognized tribal governments
  • Nonprofits without 501(c)(3) status
  • Small businesses
  • Independent school districts
  • State governments
  • Public and state-controlled colleges
  • Special district governments
  • Public and tribal housing authorities
  • Private colleges and universities
  • County governments
  • Others (see eligibility details)
  • City or township governments
  • Nonprofits with 501(c)(3) status
  • For-profit organizations (not small businesses)
  • Tribal organizations

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

About this grant

This Notice of Funding Opportunity (NOFO) invites applications to use NHLBI-funded TransOmics for Precision Medicine (TOPMed) program to generate a large volume of integrated genetic and multi-omics data to facilitate discovery of the molecular mechanisms of Heart, Lung, Blood, and Sleep (HLBS) disorders. No funding will be provided under this NOFO. The genomic data and related phenotypic data will be deposited in a public NIH-designated controlled-access database such as the database for Genotypes and Phenotypes (dbGaP) and NHLBIs BioData Catalyst (BDC). The overall goal is to move from simply cataloguing genetic associations to understanding how genetic factors contribute to HLBS diseases at the molecular and cellular levels. This transformation will help move TOPMed from genetic Map to Mechanism with potential applications of AI and ML tool sets where possible, enabling functional genomics research that will accelerate mechanistic personalized medicine

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