GENOMICS

GENOMICS

Example

Open GENOMICS

GenomicPython (2013) is the proto-CANONIC seed. Python abstracted away — GENOMICS is the domain. CANONIC is closure. 12 years later, GenomicPython is resurrected as CANONIC.GENOMICS — the proto-CANONIC work finds its completion in the framework.

2. Genetic Privacy

Genomic data MUST be protected under applicable genetic nondiscrimination and privacy laws.

Example: GINA (Genetic Information Nondiscrimination Act, 2008) — prohibits discrimination in health insurance (Title I) and employment (Title II) based on genetic information. Does NOT cover life insurance, disability insurance, or long-term care insurance. State genetic privacy laws vary — California Genetic Information Privacy Act (CalGIPA, 2022) requires opt-in consent for DTC genetic testing companies. 23andMe/Ancestry: FTC enforcement for unfair/deceptive practices regarding genetic data. HIPAA covers genetic information as PHI when held by covered entities. EU GDPR — genetic data is “special category” (Art. 9) requiring explicit consent.

3. Research Governance

Human genomic research MUST comply with the Common Rule and institutional review requirements.

Example: Common Rule (45 CFR 46, revised 2018) — informed consent requirements, broad consent option for future research use of biospecimens. IRB oversight — expedited review for minimal risk genomic research, full board review for greater than minimal risk. Genomic Data Sharing Policy (NIH, 2014) — large-scale genomic data from NIH-funded research must be shared through controlled-access repositories (dbGaP). Biobank governance: material transfer agreements (MTAs), community advisory boards, return of results policies. NAGPRA (Native American Graves Protection and Repatriation Act) — special considerations for Indigenous genomic research.

4. Clinical Genomics

Clinical genomic testing MUST meet laboratory certification requirements and follow variant classification standards.

Example: CLIA (Clinical Laboratory Improvement Amendments, 42 CFR 493) — all clinical labs must be CLIA-certified. CAP (College of American Pathologists) accreditation — proficiency testing, laboratory inspections. ACMG/AMP variant classification (2015): Pathogenic, Likely Pathogenic, Variant of Uncertain Significance (VUS), Likely Benign, Benign — five-tier system using 28 criteria. ClinVar (NCBI) — public archive of variant-disease relationships. Pharmacogenomics: FDA Table of Pharmacogenomic Biomarkers in Drug Labeling (400+ entries), CPIC (Clinical Pharmacogenetics Implementation Consortium) guidelines. Germline vs somatic testing distinctions in clinical reporting.

5. Data Standards

Genomic data MUST conform to community-accepted standards for format, exchange, and interpretation.

Example: File formats: FASTQ (raw sequence reads), BAM/CRAM (aligned reads, CRAM is compressed), VCF (Variant Call Format — variant calls), BED (genomic intervals). GA4GH (Global Alliance for Genomics and Health) frameworks: htsget (streaming genomic data), Beacon protocol (federated variant discovery), Phenopackets (structured phenotype data), DRS (Data Repository Service), TES (Task Execution Service). FHIR Genomics (HL7) — integration of genomic data into clinical workflows via MolecularSequence resource. Reference genomes: GRCh38/hg38 (current), T2T-CHM13 (telomere-to-telomere assembly).

6. IP & Access

Genomic innovations MUST navigate the post-Myriad patent landscape balancing IP protection with access to genetic testing.

Example: AMP v. Myriad Genetics (SCOTUS 2013) — naturally occurring DNA segments are products of nature and not patent-eligible (35 USC 101). cDNA (complementary DNA) remains patentable as synthetic creation. Post-Myriad: BRCA testing market opened from Myriad monopoly ($3,000+) to multiple providers ($250-$500). NIH data sharing policies: Genomic Data Sharing Policy (2014), Data Management and Sharing Policy (2023). Open-access databases: gnomAD (population variant frequencies), COSMIC (somatic mutations in cancer), dbSNP, ClinGen (clinical genome resource). Bayh-Dole Act (35 USC 200-212) — federally-funded inventions can be patented by research institutions.

Constraints

MUST:     Cite specific regulation or genomic standard for claims
MUST:     Distinguish between research-use and clinical-grade genomic data
MUST NOT: Present genomic findings without variant classification context
*GENOMICS CANON VERTICALS*