Genomics基因组学解读

Setup

On first use, read setup.md for integration guidelines. Ask user consent before creating ~/genomics/ workspace.

When to Use

User has processed genomic data (VCF files) and needs clinical interpretation. Agent handles variant classification, pharmacogenomics recommendations, and annotation lookup. NOT for raw data processing — use bioinformatics skill for alignment and variant calling.

Architecture

Memory lives in ~/genomics/. See memory-template.md for structure.

CODEBLOCK0

Quick Reference

Topic	File
Setup process	INLINECODE5
Memory template

memory-template.md |

Core Rules

1. Classify Variants Using ACMG Guidelines

Every variant needs systematic classification:

Category	Criteria
Pathogenic	PVS1, PS1-4, PM1-6, PP1-5 weighted
Likely Pathogenic

Strong + moderate evidence | | VUS | Insufficient or conflicting evidence | | Likely Benign | BS1-4, BP1-7 weighted | | Benign | Strong benign evidence |

Never classify without evidence. State "insufficient data" when appropriate.

2. Check Population Frequency First

Before clinical interpretation, verify frequency:

Source	Use For
gnomAD v4	Global population frequency
gnomAD non-cancer

Somatic analysis | | Population-specific | Ancestry-appropriate filtering |

MAF >1% in any population = likely benign for rare disease.

3. Cross-Reference Multiple Databases

Database	Information
ClinVar	Clinical classifications + submitter evidence
OMIM

Gene-disease relationships | | HGMD | Literature-reported mutations | | UniProt | Protein function + domains |

Single-source interpretation is insufficient. Triangulate evidence.

4. Report Pharmacogenomics Actionably

For drug-gene interactions, provide:

• - Diplotype (e.g., CYP2D6 1/4)
• Predicted phenotype (poor/intermediate/normal/ultra-rapid metabolizer)
• Drug list affected
• Dosing guidance (CPIC/DPWG when available)

5. Separate Germline from Somatic Context

Context	Key Differences
Germline	Family implications, carrier testing, predictive
Somatic

Tumor-specific, therapy selection, no inheritance |

Always state which context you're interpreting.

6. Acknowledge Uncertainty

• - Novel variants often lack evidence
• VUS ≠ benign — requires ongoing monitoring
• Reclassification happens (ClinVar updates monthly)
• Computational predictions are supportive, not definitive

Pharmacogenomics Reference

High-Priority Drug-Gene Pairs (CPIC Level A)

Gene	Drugs	Clinical Action
CYP2D6	Codeine, tramadol, tamoxifen, SSRIs	Dosing/alternative
CYP2C19

Clopidogrel, PPIs, voriconazole | Dosing/alternative | | CYP2C9 + VKORC1 | Warfarin | Dosing algorithm | | DPYD | Fluorouracil, capecitabine | Dose reduction/avoid | | TPMT + NUDT15 | Azathioprine, mercaptopurine | Dose reduction | | HLA-B*57:01 | Abacavir | Contraindication | | HLA-B*15:02 | Carbamazepine | Contraindication (Asian ancestry) | | SLCO1B1 | Simvastatin | Dose cap/alternative statin | | G6PD | Rasburicase, primaquine | Contraindication | | CYP3A5 | Tacrolimus | Dosing adjustment |

Phenotype Interpretation

Metabolizer Status	Meaning	Typical Action
Poor (PM)	Little/no enzyme activity	Alternative drug or dose ↓↓
Intermediate (IM)

Reduced activity | Consider dose ↓ | | Normal (NM) | Expected activity | Standard dosing | | Rapid/Ultra-rapid (UM) | Increased activity | Dose ↑ or alternative |

Annotation Resources

Resource	URL	Content
ClinVar	ncbi.nlm.nih.gov/clinvar	Clinical variant classifications
gnomAD

gnomad.broadinstitute.org | Population frequencies | | OMIM | omim.org | Gene-disease relationships | | PharmGKB | pharmgkb.org | Drug-gene annotations | | CPIC | cpicpgx.org | Pharmacogenomics guidelines | | ClinGen | clinicalgenome.org | Gene-disease validity | | Franklin | franklin.genoox.com | Variant interpretation aid | | VarSome | varsome.com | ACMG auto-classification |

Common Interpretation Traps

• - Ignoring population specificity — Variants common in African populations may look rare in European-biased databases
• Trusting single ClinVar submitter — Check submitter count and review status (≥2 submitters, no conflict preferred)
• Conflating computational prediction with evidence — CADD/REVEL are supportive, not diagnostic
• Missing compound heterozygosity — Two VUS in trans can be pathogenic together
• Outdated database versions — gnomAD v4 has 800K+ exomes vs v2's 125K
• Ignoring gene-level constraint — pLI/LOEUF scores indicate tolerance to loss-of-function

External Endpoints

This skill does NOT automatically call external APIs. All database references are for manual lookup:

Resource	When Used	Data Sent
ClinVar, gnomAD, OMIM	User manually visits	None by this skill
PharmGKB, CPIC

User manually visits | None by this skill |
| VarSome, Franklin | User manually visits | None by this skill |

No automatic network requests. The skill provides URLs and guidance for manual lookup only.

Security & Privacy

Data that stays local:

• - All interpretation work runs locally
• No variant data sent externally by this skill
• No automatic API calls to any database

This skill does NOT:

• - Make network requests automatically
• Upload patient variants anywhere
• Connect to databases without explicit user action
• Store identifiable genomic information outside ~/genomics/

Related Skills

Install with clawhub install <slug> if user confirms:

• - medicine — clinical decision support
• INLINECODE9 — molecular mechanisms
• INLINECODE10 — drug metabolism pathways
• INLINECODE11 — patient care context

Feedback

• - If useful: INLINECODE12
• Stay updated: INLINECODE13