Focus Areas Include:

• Functional annotation of variants (e.g., ENCODE, GTEx)
• Multi-omics integration: transcriptomics, proteomics, metabolomics
• Systems biology and network modeling
• Pathway-based analysis and gene interaction networks
• Regulatory genomics and enhancer-promoter mapping
• lncRNA, miRNA, and non-coding RNA function
• Multi-modal disease models

Focus Areas Include:

• Clinical WGS/WES in diagnosis
• CNV, SNV, and SV detection pipelines
• ctDNA and liquid biopsy diagnostics
• Carrier screening and preimplantation testing
• ACMG/ClinGen interpretation guidelines
• Reporting incidental findings
• Molecular diagnostics infrastructure

Focus Areas Include:

• Tumor mutational profiling
• Targeted therapies and companion diagnostics
• ctDNA for minimal residual disease (MRD)
• Neoantigen discovery and immunogenomics
• Resistance evolution in cancer genomics
• Molecular tumor boards in clinical settings
• Integration of multi-omics in oncology

Focus Areas Include:

• CYP2C19, CYP2D6, SLCO1B1 PGx variants
• FDA/EMA PGx biomarkers
• PGx testing in psychiatry, cardiology, oncology
• Integration with EHRs and clinical decision tools
• Cost-effectiveness models and real-world impact
• DTC pharmacogenomics
• Pharmacoepigenomics and response prediction

Focus Areas Include:

• PRS calculation and interpretation
• PRS for CVD, diabetes, neurodegenerative diseases
• GWAS and fine-mapping in diverse populations
• Population-specific allele frequencies
• Risk stratification models
• Ancestry bias in genomics
• Large-scale biobank studies

Focus Areas Include:

• Gut microbiome and health outcomes
• Microbiome in metabolic and immune conditions
• Microbial diagnostics (16S, shotgun metagenomics)
• Pharmacomicrobiomics
• Microbiome–host immune interactions
• FMT and microbiome-based therapeutics
• Probiotic personalization

Focus Areas Include:

• Machine learning for omics interpretation
• Deep learning for mutation classification
• AI-powered biomarker discovery
• Wearables and real-time health data
• Digital twins in genomics
• Federated learning & privacy preservation
• Blockchain in genomic data storage

Focus Areas Include:

• Implementation frameworks in clinical genomics
• Genomic literacy for providers and patients
• Telegenetics and rural access
• Economic and reimbursement models
• Global disparities in data representation
• Infrastructure challenges in LMICs
• Workforce training and policy innovation

Focus Areas Include:

• Data ownership and patient rights
• Informed consent in genomics
• Return of results and recontact policies
• Public trust in AI-driven genomics
• DTC test ethics and oversight
• Genetic discrimination laws (GINA, GDPR)
• Cultural & religious perspectives on genome use