Tag: pharmcat

A working guide to producing star-allele diplotypes and CPIC phenotypes from your own sequencing data with PharmCAT, Cyrius, and PyPGx, and to reading a commercial PGx report critically.

Whole-genome sequencing processed with PharmCAT and Cyrius gives you more pharmacogenetic information than any branded psychiatric panel, and you keep the data. Here is how to run it and what the evidence supports.

Cash prices for pharmacogenetic panels run from about $50 to over $2,000 for largely the same gene list. Here is what drives the spread, what insurance pays, and how to derive the same star-allele calls from whole-genome data yourself.

Pharmacogenetic testing reliably predicts how you metabolize a few dozen drugs, and says almost nothing about which antidepressant will work. Here is what the genes cover, how to call the star alleles yourself from whole-genome data, and where the calls break.

A technical comparison of PGx testing companies, what their panels genotype, where they fail on CYP2D6 and DPYD, and how to produce CPIC-grade diplotype calls yourself from whole-genome sequencing.

Self-pay pharmacogenomic panels run roughly $200-$500, Medicare and commercial plans cover them only under narrow conditions, and a single whole-genome sequence answers the same questions permanently. Here is the pricing, the billing codes, and how to run the interpretation yourself.

Pharmacogenomic panels like myDNA and GeneSight genotype a short list of variants and return a color-coded report. Here is what those genes do, how to call the same star alleles yourself from whole-genome sequencing, and where the evidence stops.