What You Will Need
- A 23andMe or AncestryDNA raw data file (download from your provider's account settings)
- A free SciRouter account (sign up at scirouter.ai/register)
- A modern web browser (Chrome, Firefox, Safari, or Edge)
Step 1: Create a Free Account
Go to scirouter.ai/register and sign up with your email or Google account. The free tier gives you full access to the Genomics Hub and 5,000 API calls per month. No credit card required.
Step 2: Navigate to the Genomics Hub
After signing in, click Genomics Hub in the navigation menu or go directly to scirouter.ai/genomics. You will see the welcome screen with a file upload area in the center of the page.
Step 3: Upload Your Raw Data File
Click the upload area or drag and drop your 23andMe .txt file onto it. The file selector accepts .txt and .csv files. Once you select a file, you will see a progress indicator as the browser parses your genotypes. A typical 23andMe v5 file with 640,000 SNPs parses in about 3-5 seconds.
During parsing, the browser reads each line, extracts the rsID and genotype, validates the format, and calculates your call rate. You will see a summary showing the detected chip version, total SNPs, valid SNPs, and call rate percentage.
Step 4: Explore Your Genome Overview
After parsing completes, you land on the Genome Overview dashboard. This is a summary screen showing key statistics about your genome: total SNPs analyzed, how many matched known annotations, and a breakdown by category (traits, pharmacogenomics, health, ancestry, Neanderthal). Each category shows a count and a colored icon. Click any category card to drill into the details.
Step 5: Browse the Trait Explorer
The Trait Explorer page shows your results organized by trait category. Each trait entry displays the SNP rsID, your genotype, the interpretation, the associated gene, and a confidence rating. Traits cover areas like:
- Physical traits — eye color prediction, hair texture, freckling, earlobe type
- Taste and smell — bitter taste perception (TAS2R38), cilantro aversion, asparagus smell detection
- Metabolism — caffeine metabolism speed, alcohol flush reaction, lactose tolerance
- Performance — muscle fiber composition (ACTN3), endurance vs sprint tendency
- Sleep — circadian rhythm tendency, light vs deep sleep patterns
Step 6: Check Pharmacogenomics
The Pharmacogenomics section is one of the most practically valuable parts of the analysis. It shows your predicted metabolizer status for key drug-metabolizing enzymes:
- CYP2D6 — affects codeine, tramadol, tamoxifen, and many antidepressants
- CYP2C19 — affects clopidogrel (Plavix), PPIs, and some antidepressants
- VKORC1 — affects warfarin dosing sensitivity
- DPYD — affects 5-fluorouracil and capecitabine (chemotherapy toxicity risk)
Each entry shows your genotype, the predicted phenotype (poor / intermediate / normal / rapid metabolizer), affected medications, and the clinical implication. These results can be a useful conversation starter with your physician, especially before starting new medications.
Step 7: Review Health Risk Markers
The Health section displays markers for conditions with established genetic associations. Each marker includes a confidence level based on the strength of evidence: high confidence markers have strong clinical validation, while moderate and preliminary markers indicate associations from population studies that are still being validated.
Step 8: Explore Ancestry and Literature
The Ancestry page shows population-informative markers and your Neanderthal variant count. The Literature Radar matches your specific variants against published research papers, showing which of your genotypes have been studied in recent publications.
The Ask Your Genome chat feature lets you ask questions about your results in plain language. The AI assistant has context about your specific genotypes and can explain what individual results mean.
What Comes Next
- Read the developer tutorial if you want to build programmatic analysis with Python
- Check the pharmacogenomics guide for deeper context on drug-gene interactions
- Use the free SNP lookup to investigate individual variants
- Explore AlphaGenome for advanced variant effect prediction on specific SNPs of interest