I will supply a single CSV file that already contains raw genotype data. I’m looking for a concise analysis that pinpoints any clinically relevant variants in the MTHFR and COMT genes and briefly interprets their potential impact. Scope (kept intentionally lean): • Parse the CSV, isolate the MTHFR and COMT loci, and identify common mutations such as C677T, A1298C, and Val158Met (rs4680). • Confirm zygosity for each detected variant. • Deliver a short, plain-language summary (one page or less) highlighting which mutations are present, the genotype (e.g., homozygous, heterozygous), and a short note on potential metabolic or methylation implications. A simple script in Python, R, or any standard bioinformatics pipeline is fine as long as the output is clear and reproducible. Please return: 1. The brief written report (PDF or DOCX). 2. The annotated variant list (CSV or TSV). 3. Your script or exact commands so I can replicate the results if needed. No wet-lab work is required—everything is based solely on the genotype data I provide.