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The goal of this funding opportunity announcement is to solicit applications focused on 1) providing data enablement for the open-science, systems-biology enterprise of the AMP-AD Target Discovery and Preclinical Validation Consortium supported through the companion FOA (RFA-AG-18-013) and 2) sustaining and expanding the big-data infrastructure of the AMP-AD Knowledge Portal as a collaborative research platform through which members of the Consortium, researchers at large, and citizen scientists can engage in rapid translational learning and contribute to the development of predictive models of AD and AD-related dementias.

There is a devastating opioid use and overdose crisis in the United States. It has been reported that approximately 25.5 million adults suffer pain and opioids that are often prescribed for their treatment can lead to opioid misuse and dependence. It has also been reported that more than 2 million Americans have OUDs and many started their addiction with prescribed opioids. One of the most devastating consequences of opioid misuse is opioid overdose, which can produce respiratory depression and death. Drug overdose is the leading cause of accidental death in the US, with an estimation of 60,000 deaths in 2016; 20,101 overdose deaths related to prescription pain relievers, and 12,990 overdose deaths related to heroin.

The purpose of this funding opportunity announcement (FOA) is to support the development of novel tools and technologies through the Small Business Innovation Research (SBIR) program to advance the field of neuroscience research. This FOA specifically supports the development of novel neurotechnologies as well as the translation of technologies developed through the BRAIN initiative or through other funding programs, towards commercialization. Funding can support the iterative refinement of these tools and technologies with the end-user community, with an end-goal of scaling manufacture towards reliable, broad, sustainable dissemination and incorporation into regular neuroscience research.

The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is aimed at revolutionizing our understanding of the human brain. By accelerating the development and application of innovative technologies, researchers will be able to produce a new dynamic picture of the brain that, for the first time, will show how individual cells and complex neural circuits interact in both time and space. It is expected that the application of these new tools and technologies will ultimately lead to new ways to treat and prevent brain disorders.

The purpose of this funding opportunity announcement (FOA) is to support the development of novel tools and technologies through the Small Business Technology Transfer (STTR) program to advance the field of neuroscience research. This FOA specifically supports the development of novel neurotechnologies as well as the translation of technologies developed through the BRAIN initiative or through other funding programs, towards commercialization. Funding can support the iterative refinement of these tools and technologies with the end-user community, with an end-goal of scaling manufacture towards reliable, broad, sustainable dissemination and incorporation into regular neuroscience practice.

Genome-wide association studies (GWAS) identify statistical relationships between common single nucleotide variants (SNVs) across the genome and a trait of interest. Due to the correlated nature of nearby SNVs (i.e., linkage disequilibrium), GWAS implicate regions of the genome (loci) and do not necessarily pinpoint the causal variant(s), gene(s), isoform(s) or proximate molecular mechanism(s) underlying the trait association. Greater than 90% of genome-wide significant variants associated with traits fall within non-coding regions of the genome. A minority of these variants will be the actual causal variants and a majority will not affect the nearest genes. Moreover, functional annotation of the non-coding genome is still incomplete; the target genes of many genomic regulatory elements such as enhancers remain unknown. This presents a major challenge to mapping variants onto genes and genes onto traits. Thus, an immediate barrier to translating genetic associations into causal disease mechanisms is the uncertain relationship between statistically identified genetic variants and the resultant molecular changes influencing, directly or indirectly, a trait.

This Funding Opportunity Announcement (FOA), issued by the National Institutes of Health (NIH), invites eligible United States small business concerns (SBCs) to submit Small Business Technology Transfer (STTR) grant applications. United States SBCs that have the research capabilities and technological expertise to contribute to the R&D mission(s) of the NIH awarding components identified in this FOA are encouraged to submit STTR grant applications in response to identified topics (see PHS 2019-2 SBIR/STTR Program Descriptions and Research Topics for NIH.