Pharmacogenomics

Pharmacogenetics

Aldy 4 + PharmCAT

Variants in genes for drug-metabolising or drug-activating enzymes can affect their function. Pharmacogenetic methods combine relevant variants into haplotypes and diplotypes, then infer a predicted phenotype for particular medicines. The result depends on data quality, gene coverage and the nomenclature used.

Key points

  • Star alleles describe functional haplotypes of an enzyme gene, not single SNPs.
  • CYP2D6 can be difficult to resolve because of sequence variants, copy number and structural changes.
  • Guidelines interpret particular genotype-phenotype combinations for individual medicines; they do not produce an automatic dose.

From allele to phenotype

Star alleles group variants that have been assigned a function for a particular gene. The two alleles can be reported as a diplotype and, where the current nomenclature supports it, used to infer an activity or metaboliser class. The implications are gene- and drug-specific: CYP2C19 variants, for example, can affect clopidogrel activation; CYP2D6 phenotypes are relevant to codeine conversion. An assignment can remain uncertain when variants are not adequately covered or phased.

Why star alleles are hard from short-read WGS

Some pharmacogenes are technically challenging. For CYP2D6, high sequence similarity to the CYP2D7 pseudogene, as well as copy-number changes and hybrid structures, complicates short-read analysis. A list of individual variants can therefore miss important information about phase and gene copy number. Results should be read together with the reported quality and coverage.

How Genome analyses

Genome uses Aldy to analyse selected star alleles and PharmCAT to connect pharmacogenetic results with curated recommendations. The tools require different inputs; not every gene or structural variant can be reliably resolved from every sequencing file. The report should therefore be read as a technical analysis with sources, software versions and stated limitations. It does not replace clinical confirmation or review of the underlying guideline.

From typing to guideline

Pharmacogenetic guidelines relate particular genotype or phenotype classes to specific medicines. Depending on the evidence, they may recommend a dose adjustment, an alternative medicine or no change. Age, co-medication, organ function, indication and other clinical factors still matter. A database annotation is not an individual prescription; treatment decisions belong in clinical care.

What Genome measures. Star alleles (e.g. CYP2D6*4, CYP2C19*2) and the resulting diplotype per pharmacogenetically relevant gene, with a phenotype class (poor, intermediate, normal, rapid, ultrarapid metaboliser).

Related topics

Sources

  1. 1Hari et al., 2023 An efficient genotyper and star-allele caller for pharmacogenomics (Aldy 4). Genome Research 33:61-70. doi.org/10.1101/gr.277075.122
  2. 2Numanagić et al., 2018 Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes (Aldy). Nature Communications 9:828. doi.org/10.1038/s41467-018-03273-1
  3. 3Sangkuhl et al., 2019 Pharmacogenomics Clinical Annotation Tool (PharmCAT). Clinical Pharmacology & Therapeutics 107:203-210. doi.org/10.1002/cpt.1568
  4. 4Relling & Klein, 2011 CPIC: Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network. Clinical Pharmacology & Therapeutics 89:464-467. doi.org/10.1038/clpt.2010.279
  5. 5Whirl-Carrillo et al., 2021 An evidence-based framework for evaluating pharmacogenomics knowledge for personalized medicine (PharmGKB). Clinical Pharmacology & Therapeutics 110:563-572. doi.org/10.1002/cpt.2350