Categories

Development of new methods, technologies and instruments needed to generate increasingly complex genomic data.

• Nucleic Acid Isolation, Sequencing and Synthesis
• High-Throughput Genomic Technologies
• Spatial Genomics

Use of high-throughput genomic methods to understand how the genome is organized and how it functions.

• Genome Structure
• Genome Assemblies, Alignment and Reference Genomes
• Detection of Structurally Complex Variation
• Functional Genomics
• Epigenomics, Chromatin and Nuclear Architecture
• Transcriptomics, Epitranscriptomics and RNA processing
• Gene Regulatory Networks

Development of novel statistical, computational or data science methods, software and tools to advance genome sciences and genomic medicine.

• Computational Genomics and Data Science Methods Development
• Computational Methods for Genomic Sequencing Data
• Computational Methods for Functional Genomics
• Computational Methods for Variation and Association Analysis
• Computational Methods for Clinical Genomics 
• Genomic Data Management Resources
• Genomic Community Resources 
• Genomic and Phenotype Measures and Standards

Development of generalizable approaches to elucidate the genomics of disease, including the impact of genomic variation at the population and comparative genomics levels.

• Genomics of Disease
• Functional Characterization of Variants
• Genomic Epidemiology and Statistical Genomics
• Population and Comparative Genomics
• Comparative Genomics
• Population Genetics

Use of genome sequencing technologies to identify and interpret genomic variants and integrate results in medical records for clinical practice.

• Clinical Sequencing
• Genomic Sequencing and Discovery, Including Sequencing Technology and Clinical Workflows
• Perinatal Sequencing and Gene Expression
• Genomics and Disease Risk
• Curation and Prioritization for Clinical Variants
• Mendelian, Undiagnosed and Rare Disease Genomics
• Pharmacogenomics

Development of methods and tools used to leverage and apply genomic knowledge to clinical practice and assess its impact on outcomes.

• Electronic Health Records and Clinical Decision Support
• Electronic Medical Records / Electronic Health Records Related Genomic Studies (GWAS, PheWAS)
• Clinical Implementation and Evaluation
• Return of Results and Outcome Research
• Clinical Evidence Base for, and Demonstrating Effectiveness of Genomic Medicine
• Health Disparities, Health Equity and Access to Genomic Medicine

Aims to develop valuable genomic resources for the broad research community and to advance how genomic data is shared.

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• Genomic Research Design and Implementation
• Genomic Healthcare
• Genomics and Sociocultural Structures and Values
• Genomics at the Institutional and System Level

Preparing a diverse and talented genomics workforce by providing funding for both institutional and individual training with opportunities at the undergraduate, postbaccalaureate, graduate, postdoctoral and faculty levels.

• Technology Development
• Genome Science
• Computational Genomics
• Genomic Medicine
• Ethical, Legal and Social Implications (ELSI)

Supports U.S. small businesses and academics that perform proof of principle and pre-commercialization business research in genomics across all NHGRI-supported work through Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grants.

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• Genomic Science
• Genomic Medicine
• Computational Genomics