Nutrigenomics — Personalised Nutrition from Genetic Data

Skill ID: nutrigenomics Version: 0.3.1 Status: Beta Author: David de Lorenzo Requires: Python 3.11+, pandas, numpy, matplotlib, seaborn, reportlab (optional)

What This Skill Does

The Nutrigenomics generates a personalised nutrition report from consumer genetic data (23andMe, AncestryDNA raw files or VCF). It interrogates a curated set of nutritionally-relevant SNPs drawn from GWAS Catalog, ClinVar, and peer-reviewed nutrigenomics literature, then translates genotype calls into actionable dietary and supplementation guidance — all computed locally.

Key outputs