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The purpose of this funding opportunity is to solicit applications that fully integrate recent innovative advances of in vitro functional genomics tools/technologies and approaches for environmental health and toxicology research. The overall goal of this NIEHS led initiative is to generate proof-of-principle studies incorporating these new in vitro approaches, together with well characterized exposures, to further our understanding of gene-environment (G x E) interactions in complex human disorders.

The Division of Integrative Organismal Systems (IOS) Core Programs support research aimed at understanding why organisms are structured the way they are and function as they do. Proposals are welcomed in all of the core scientific program areas supported by the Division of Integrative Organismal Systems (IOS). Areas of inquiry include, but are not limited to, developmental biology and the evolution of developmental processes, nervous system development, structure, modification, function, and evolution; biomechanics and functional morphology, physiological processes, symbioses and microbial interactions, interactions of organisms with biotic and abiotic environments, plant and animal genomics, and animal behavior. Proposals should focus on organisms as a fundamental unit of biological organization. Principal Investigators are encouraged to apply systems approaches that will lead to conceptual and theoretical insights and predictions about emergent organismal properties.

The Plant Genome Research Program (PGRP) supports genome-scale research that addresses challenging questions of biological, societal and economic importance. PGRP encourages the development of innovative tools, technologies and resources that empower a broad plant research community to answer scientific questions on a genome-wide scale. Emphasis is placed on the scale and depth of the question being addressed and the creativity of the approach. Data produced by plant genomics should be usable, accessible, integrated across scales and of high impact across biology. Training, broadening participation, and career development are essential to scientific progress and should be integrated in all PGRP-funded projects. Two funding tracks are currently available: RESEARCH-PGR TRACK: Genome-scale plant research to address fundamental questions in biology, including processes of economic and/or societal importance. TRTech-PGR TRACK: Tools, resources and technology breakthroughs that further enable functional plant genomics.

The Division of Integrative Organismal Systems (IOS) Core Programs Track supports research aimed at understanding why organisms are structured the way they are and function as they do. Proposals are welcomed in all of the core scientific program areas supported by the Division of Integrative Organismal Systems (IOS). Areas of inquiry include, but are not limited to, developmental biology and the evolution of developmental processes, nervous system development, structure, modification, function, and evolution; biomechanics and functional morphology, physiological processes, symbioses and microbial interactions, interactions of organisms with biotic and abiotic environments,plant and animal genomics, and animal behavior. Proposals should focus on organisms as a fundamental unit of biological organization. Principal Investigators (PIs) are encouraged to apply systems approaches that will lead to conceptual and theoretical insights and predictions about emergent organismal properties.

The United States Environmental Protection Agency (EPA), as part of its Science to Achieve Results (STAR) program, is seeking applications proposing research to support the development of improved science-based human health and environmental risk assessments of new biotechnology products, including those developed through synthetic biology, genome editing, and metabolic engineering.

The goal of the intended FOA is to establish Study Sites for PRS Methods and Analysis for Populations of Diverse Ancestry to collaboratively generate and refine PRS for populations of diverse ancestry by integrating existing datasets with genomic and phenotype data for a range of complex diseases and traits. Together with a Coordinating Center (described in a separate FOA), grantees funded under the intended FOA will form a Consortium with the primary objectives of: 1) leveraging genetic diversity to develop methods and improve the applicability of PRS to predict health and disease risk across diverse populations, and for a broad range of health and disease measures; and 2) optimizing the integration of large-scale, harmonized genomic and phenotype data to facilitate collaborative analysis, dissemination of PRS-related data, and development of related methods and resources.

The goal of the intended FOA is to establish Centers for PRS Methods and Analysis for Populations of Diverse Ancestry to collaboratively generate and refine PRS for populations of diverse ancestry by integrating existing datasets with genomic and phenotype data for a range of complex diseases and traits. Together with a Coordinating Center (described in a separate FOA), grantees funded under the intended FOA will form a Consortium with the primary objectives of: 1) leveraging genetic diversity to develop methods and improve the applicability of PRS to predict health and disease risk across diverse populations, and for a broad range of health and disease measures; and 2) optimizing the integration of large-scale, harmonized genomic and phenotype data to facilitate collaborative analysis, dissemination of PRS-related data, and development of related methods and resources.

This Funding Opportunity Announcement (FOA) solicits R01 grant applications to develop novel technologies that will enable substantive (no less than one order of magnitude) improvement in synthetic nucleic acids. The goal is to improve the quality, capabilities and efficiency of nucleic acid synthesis and synthetic constructs at reasonable and decreased costs. Large progress in this area has the potential to catalyze scientific advances relevant to the mission of NIH, NHGRI and the field of genomics.

The purpose of this Funding Opportunity Announcement (FOA) is to support studies which utilize emerging genomic technologies to identify variants which predict risk for pregnancy loss in subsequent pregnancies beyond standard karyotype approaches.

This Funding Opportunity Announcement (FOA) encourages applications for the establishment of a Technology Development Coordinating Center for the National Human Genome Research Institute (NHGRI). The Coordinating Center will be responsible for enhancing integration between components of the NHGRI Genome Technology program by facilitating opportunities for collaborations and leading efforts to promote standards in genomic technologies. The Center will also disseminate program advances, develop resources and outreach strategies for engaging the broader biomedical research community, and manage an Opportunity Funds program to rapidly fund and support promising small-scale work that advances the development of innovative genomic technologies.

This Funding Opportunity Announcement (FOA) supports concerted efforts that take a multipronged, team-science strategy and apply high-throughput, genome-wide approaches to systematically discover and characterize functional genomic and epigenomic elements and elucidate and validate their functional roles and mechanisms of action underpinning the heterogeneity, pathogenesis, and progression of Alzheimer's disease and related dementias (AD/ADRD).

This Funding Opportunity Announcement (FOA) supports concerted efforts that take a multipronged, team science strategy and apply high throughput, genome-wide approaches to systematically discover and characterize functional genomic and epigenomic elements; and elucidate and validate their functional roles and mechanisms of action underpinning the heterogeneity, pathogenesis, and progression of Alzheimers disease andrelated dementias (AD/ADRD).

This Funding Opportunity Announcement (FOA) invites applications specific to infrastructure that will support the storage, analysis, and sharing of primary and secondary data for the genetics and genomics of Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD).

The Division of Integrative Organismal Systems (IOS) Core Programs Track supports research aimed at understanding why organisms are structured the way they are and function as they do. Proposals are welcomed in all of the core scientific program areas supported by the Division of Integrative Organismal Systems (IOS). Areas of inquiry include, but are not limited to, developmental biology and the evolution of developmental processes, nervous system development, structure, modification, function, and evolution; biomechanics and functional morphology, physiological processes, symbioses and microbial interactions, interactions of organisms with biotic and abiotic environments,plant and animal genomics, and animal behavior. Proposals should focus on organisms as a fundamental unit of biological organization. Principal Investigators (PIs) are encouraged to apply systems approaches that will lead to conceptual and theoretical insights and predictions about emergent organismal properties. TheRules of Life Tracksupports integrative proposals that span the subcellular and cellular scales normally funded by MCB to the organ, tissue, organismal, and group scale typically funded by IOS, to population, species, community and ecosystem scales typically funded by DEB. Rules of Life proposals may also include enabling infrastructure through joint submission with DBI. Discovery of fundamental principles and enabling infrastructure will advance understanding and further predict how key properties of living systems emerge from the interaction of genomes, phenotypes, and developmental, social and environmental context across space and time.This track provides opportunities to advance understanding of the Rules of Life by new mechanisms for review and funding of proposals that span two or more divisions in the Biological Sciences Directorate.

To facilitate genomic research and the dissemination of its products, NHGRI supports genomic resources that are crucial for basic research, disease studies, model organism studies, and other biomedical research. Awards under this FOA will support the development and distribution of genomic resources that use cost-effective approaches and will be valuable for the broad research community. Such resources include (but are not limited to) databases and informatics resources (such as human and model organism databases, ontologies, and analysis toolsets), comprehensive identification and collections of genomic features (such as functional genomic elements), and standard data types produced using central sets of samples (such as structural variants in 1000 Genomes or GTEx samples).

The purpose of this FOA is to establish expert panels that will select genes and genomic variants associated with diseases or conditions of high priority to participating NIH Institutes and Centers (ICs) and systematically determine their clinical significance for diagnosis and treatment of these diseases or conditions. The Genomic Expert Curation Panels funded through this FOA are r?e?q?u?i?r?e?d to utilize the NHGRI Clinical Genomics Resource (ClinGen) and the NCBI ClinVar procedures, interfaces, tools and informatics infrastructure to determine the strength of evidence supporting the clinical significance of the selected genes and variants that will support development of clinical practice guidelines.

The National Institute on Aging (NIA) invites applications specific to infrastructure that will support, under a single cooperative agreement (U24), phenotypic data harmonization on subjects with Alzheimer's Disease Sequencing Project (ADSP) genetic and genomic data. These data will become a long-lived legacy data set that will be perpetually curated. The FOA will fund a single vanguard network of researchers with expertise in genetics, epidemiology, and clinical specialties who will work with the ADSP and with study cohort leads on data harmonization efforts to optimize the ability to identify well- targeted therapeutic approaches for Alzheimer's disease and related dementias (AD/ADRD).

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.

The DOE SC program in Biological and Environmental Research (BER), hereby announces its interest in receiving applications for research in developing computational approaches that can integrate large, disparate data types from multiple and heterogeneous sources, such as those used in the Genomic Science program (GSP) (http://genomicscience.energy.gov). Research supported by awards resulting from this FOA will promote human understanding of the natural world through analysis of high-throughput biological systems data. BER has an ongoing mission of improving translation from the molecular to cellular realm within scientific disciplines supported by DOE.

To support the development and application of tools that would enable the monitoring in real-time of the dynamic three-dimensional structure of mammalian genomes and provide insight into how organizing components of 4D genome architecture affect biological processes in live cells.