Tag: cyp2d6

A working guide to genotype-guided drug response: which genes carry the signal, how to call star alleles yourself, and where arrays fail.

A technical walkthrough of pharmacogenetic star-allele calling from whole-genome data: which genes have real evidence, why CYP2D6 breaks most pipelines, and how to read a diplotype-to-phenotype report without over-trusting it.

Psychiatric pharmacogenetics is mostly two genes, CYP2C19 and CYP2D6, plus two HLA alleles. Here is what the evidence supports, how to call those genes from whole-genome data with PharmCAT and Cyrius, and where the commercial panels overreach.

A pharmacogenetic test genotypes a small set of drug-metabolism genes and converts them into star-allele diplotypes and metabolizer phenotypes. Here is what that pipeline looks like, which genes are hard to call, and what the result does and does not tell you.

A survey of the labs selling pharmacogenomic testing, what their panels genotype, how strong the clinical evidence is, and how to reproduce (and extend) those calls from your own whole-genome data with PharmCAT, Cyrius, and Aldy.

How to go from a whole-genome VCF to CPIC-grade star allele diplotypes for CYP2C19, CYP2D6, DPYD, TPMT and others, which callers to run, and the failure modes that make a clean-looking result wrong.

Pharmacogenetic testing predicts how fast you metabolize certain antidepressants. How to call the star alleles yourself, and where the calls fail.

A technical account of pharmacogenetic panels, whole-genome sequencing, and the files they produce: coverage requirements, star-allele calling, CYP2D6 copy number, and where prices land in 2026.

Pharmacogenomic testing resolves star alleles in about a dozen drug-metabolism genes and maps them to CPIC phenotypes. Here is what panels cover, why CYP2D6 is the hard part, and how to generate diplotype calls from your own sequencing data.

What pharmacogenomic panels like GeneSight measure, what the trial data show, how to read CYP2D6 and CYP2C19 from your own genome, and what serum drug levels can and cannot tell you.

How to get pharmacogenomic (PGx) results at home, why sequencing beats the saliva-kit panels for most genes, and how to run PharmCAT, Aldy, and HLA typing over your own data without over-reading the output.

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.

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.

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.

Pharmacogenomic panels marketed for ADHD medication selection rest on thin evidence for stimulants. Here is what the genotypes predict, which variants have real pharmacokinetic support, and how to extract them from your own sequencing data.