You have a Dante Labs whole genome sequencing report and you want to know what your DNA says about medication response. Short answer: upload your Dante VCF file to Gene2Rx and you get a full pharmacogenetic report covering 103 medications across every major drug class, interpreted against the same CPIC and FDA guidelines that clinical pharmacogenetic tests use. WGS data is actually the best substrate for pharmacogenetics because it resolves rare variants that consumer genotyping arrays miss. You already paid for the sequencing; you might as well use it.
Pharmacogenetic results inform prescribing decisions; they do not replace clinical judgment. Never start, stop, or change a medication based solely on a report. Always discuss with your prescribing clinician.
Dante Labs provides whole genome sequencing and returns your raw data (BAM and VCF files). They offer several interpretation products, but a CPIC- and FDA-anchored pharmacogenetic report is not the core of their consumer offering. If you want a detailed drug-response analysis of your Dante data, uploading the VCF to a dedicated pharmacogenetic service is the fastest path.
Consumer genotyping arrays (23andMe, AncestryDNA) tag variants at fixed positions. That works well for most common pharmacogenetic variants (CYP2C19*2, CYP2D6*4, SLCO1B1*5, and so on), but it misses rare variants and cannot fully resolve the star-allele nomenclature CYP2D6 uses. Whole genome sequencing reads every position, including the rare variants that matter most for patients who don't fit the common phenotype bins. If you have Dante WGS data, you have better pharmacogenetic substrate than most.
Gene2Rx parses your VCF file, extracts genotypes at every clinically relevant pharmacogenetic position, resolves star alleles (including CYP2D6 which consumer arrays struggle with), and generates a report mapping your metabolizer phenotypes to 103 medications using CPIC and FDA guidelines. The report covers psychiatric medications, cardiovascular drugs, pain medications, chemotherapy agents, immunosuppressants, and more. Upload takes seconds; the analysis runs in minutes.
Gene2Rx accepts VCF (and VCF.gz) files. Dante Labs delivers VCF as part of its WGS package. There's a small additional fee for WGS processing compared to consumer genotyping data because of the computational overhead of parsing full-genome data, but the report tiers remain in the $5 to $64 range. You can start with the starter tier and upgrade later if needed.
Here's what WGS resolves better than genotyping arrays, and why that matters for specific pharmacogenes.
The most clinically important pharmacogene and the hardest to genotype. CYP2D6 has over 100 star alleles including copy-number variants (full gene duplications and deletions) that genotyping arrays cannot detect directly. WGS resolves these copy-number variants and rare alleles properly, giving you a more accurate metabolizer phenotype than consumer-array-based reports can produce.
Metabolizes SSRIs (sertraline, citalopram, escitalopram), clopidogrel, and PPIs. The common star alleles (*2, *3, *17) are well-captured by consumer arrays, but WGS additionally resolves the rarer alleles that show up in non-European populations.
DPYD variants drive fluoropyrimidine toxicity in chemotherapy (5-FU, capecitabine). Some of the most consequential DPYD variants are rare and may not be on consumer genotyping arrays, so WGS data is preferred when DPYD testing could influence a treatment decision.
HLA-B*57:01 (abacavir hypersensitivity) and HLA-B*15:02 (carbamazepine Stevens-Johnson syndrome risk) are both well-covered by WGS. Consumer arrays tag these variants directly, but WGS gives full confidence in the call.
The short version: if you have WGS data, you have the best possible substrate for pharmacogenetic analysis. Gene2Rx's WGS pipeline is specifically designed to extract maximum information from your Dante VCF.
If you have Dante Labs WGS data, pharmacogenetic analysis is one of the highest-value ways to actually use that data. It's one-time effort, the report is valid for life (your genetics don't change), and it informs every medication decision you or a family member may face. This is especially worth doing before starting a medication in a class with strong pharmacogenetic evidence: antidepressants, blood thinners like clopidogrel or warfarin, chemotherapy agents, and pain medications.
Learn how genetics may affect your response to these related medications:
Dante delivers raw sequencing data in several formats including BAM and VCF. Gene2Rx accepts VCF and VCF.gz. If you only have BAM files, you will need to convert to VCF first (your Dante account may have a VCF download option, or a tool like bcftools can produce one from the BAM).
Dante's WGS sequencing quality is research-grade 30x coverage, which is clinically comparable to the sequencing depth used in many hospital-ordered tests. Pharmacogenetic interpretation derived from it is as reliable as interpretation from any WGS source. That said, Gene2Rx reports (like all direct-to-consumer PGx reports) are informational and should be discussed with a clinician before any medication change.
Gene2Rx handles both reference genome builds. You don't need to pre-process or re-align your VCF. If your Dante data was aligned to GRCh37 (hg19) or GRCh38, either works. The pharmacogenetic variant positions are standardized internally.
Dante offers several interpretation products; a comprehensive CPIC- and FDA-anchored pharmacogenetic report covering 103 medications across all drug classes is not typically their flagship product. Gene2Rx is focused specifically on this type of analysis. The two can complement each other if you use both.
Find out how your DNA may influence your response to Sertraline and other medications with a Gene2Rx pharmacogenetics report.
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