Sure. Here it is.
BTW the prompt refers to previous documents as a model for the structure so you can just provide the first doc I’ve already uploaded above.
I’d like a comprehensive genetic analysis of the SNPs related to [endothelial health]
following the same structure and depth as my prior reports (Homocysteine Regulation, Glucose Dysregulation, Glycation Pathways).
Phase 1: Research and Pathway Education
First, research the pathway using evidence-based sources only (peer-reviewed
journals, GWAS catalogs, OMIM, PubMed). Then walk me through:
- The biology of the pathway: what it does, why it matters, how it’s regulated
- The functional categories of genes involved (typically 6-10 categories)
- For each category, the key genes and their roles
- For each gene, the well-studied SNPs with:
- rsID and common variant name (e.g., C677T, V158M)
- Functional consequence of the variant
- Cofactors required by the enzyme
- GWAS evidence and effect size where available
Cite sources inline. Use a pathway diagram (visualizer) to anchor the explanation.
Stop here and wait for my confirmation before proceeding.
Phase 2: Generic Reference Document
After I confirm Phase 1, create the FIRST docx: a generic, shareable reference
document containing ONLY:
- Pathway biology and mechanism explanation
- Complete catalog of genes organized by functional category with making explicit or split by subcategories like “absorption / transport / activation”
- For each gene: SNPs, variant names, functional interpretation, cofactors
- Summary table mapping categories → genes → cofactors → supplement targets
- Complete SNP lookup list (formatted as a clean reference table)
- Bibliography / source notes
This document must contain ZERO references to:
- My personal genome data
- My medications or supplements
- My prior reports or specific findings
- Any “the patient” language
It should read as a standalone educational reference that I could share with
anyone (a doctor, a friend, a research collaborator) without exposing personal
health information. Title it: “[PATHWAY] Genetic Pathway Reference”
After creating this document, give me bcftools commands to look up all the SNPs
in my VCF file. Provide both an rsID-based query and a positional fallback
(GRCh38 coordinates) in case rsIDs aren’t annotated.
Stop here and wait for me to provide my genotype results.
Phase 3: Personalized Analysis Document
After I provide the bcftools output, create the SECOND docx: a comprehensive
personalized analysis following the EXACT structure of my prior reports:
- Title block with date, source, genome build
- Disclaimer
- Executive Summary with:
- Primary genetic vulnerabilities (homozygous risk findings)
- Secondary findings (heterozygous / moderate)
- Genetically protected pathways (variants not found or protective)
- Detailed SNP Results by Functional Category
- Color-coded genotype tables (homozygous risk = red, het = yellow,
no risk = green, protective = blue, low quality = red with asterisk)
- Each table followed by an italicized interpretation paragraph
- Mark low-quality variants with asterisks and quality details
- Integrated Genetic Risk Profile (summary table with risk levels)
- Convergence Analysis: identify 2-4 functional bottlenecks where multiple
variants compound each other. For each bottleneck:
- Name the chain of variants
- Explain the mechanism
- State the clinical implication
- Current Management & Genetic Alignment
- Read my medications-supplements.md file
- Table of current supplements with doses and alignment commentary
(HIGHLY FAVORABLE / FAVORABLE / NEUTRAL / CAUTION / MIXED)
- Table of current medications with similar alignment commentary
- Table of MISSING items (gaps) with suggested doses and priority levels
(HIGH / MODERATE / LOW priority)
- Cross-references to my prior reports where biologically relevant
(e.g., if this pathway intersects with glucose, glycation, or
homocysteine findings, call those out explicitly)
- Suggested Monitoring Panel with rationale for each test
Style requirements (match my prior reports exactly):
- Arial font, US Letter size
- Heading 1 in dark blue (#1F3864), Heading 2 in medium blue
- Color-coded cells for genotypes and risk levels
- Striped row backgrounds in management tables (#F2F6FA alternating)
- Tables with thin gray borders
- Italic interpretation paragraphs after each SNP table
- Footer with page numbers
- Header with report title
For variants NOT found in the VCF, interpret as likely homozygous reference
(no risk alleles), noting that 60x WGS provides high confidence in detection.
Title this document: “endothelial health Genetic Report”
Important constraints throughout:
- Use only evidence-based sources from main reputable journals
- Cite GWAS p-values and effect sizes where available
- Note when variants have controversial or mixed evidence
- Flag low mapping quality (MQ < 40) or low depth (DP < 15) variants
- Look for convergence patterns BETWEEN this pathway and my prior reports
- Don’t make confident clinical recommendations; frame as “discuss with
treating physician”
- For supplement gaps, check whether my Momentous Multi might already cover
them and flag for verification
After completing both documents, also create a brief ONE-PAGE summary card
(markdown, not docx) listing the top 10 actionable findings I should discuss
with my physician at my next appointment.