Department of Health and Human Services, National Institutes of Health

Somatic Mosaicism across Human Tissues (SMaHT) Program: Experimental and Computational Technology Development (RM1 Clinical Trial Not Allowed)

Who can apply

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

Other Eligible ApplicantsIndian/Native American Tribal Governments (Other than Federally Recognized);Eligible Agencies of the Federal Government;U.S. Territory or Possession;Faith-based or Community-based Organizations;Regional Organizations;Non-domestic (non-U.S.) Entities (Foreign Institutions).

About this grant

The purpose of the Somatic Mosaicism across Human Tissues (SMaHT) Network is to advance discovery of biological processes and disease mechanisms mediated by somatic mutations in human tissues. Since 2023, the program has generated multi-omic somatic mutation datasets from standardized human tissues spanning all three germ layers. Building on the Stage 1 foundation, the NIH intends to issue a Notice of Funding Opportunity (NOFO)supporting Stage 2 of the SMaHT Experimental and Computational Technology Development initiative. The Experimental and Computational Technology Development initiative supports multidisciplinary development, optimization, validation, benchmarking, and dissemination of rigorous, cost-effective technologies for somatic mutation detection and functional interpretation. Awardees will collaborate with other SMaHT Stage 2 initiatives to incorporate validated technologies into production workflows, pipelines, data releases, and community resources.

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