Wednesday, December 20, 2023

Updates to Drug Label Annotation Tags and Criteria for PGx levels

PharmGKB has made some changes in the Drug Label Annotation process to clarify the pharmacogenomic (PGx) relationships of biomarkers. PharmGKB curates all drug labels on the FDA’s Table of Pharmacogenomic Biomarkers in Drug Labeling and previously attempted to classify all labels with PharmGKB-created “PGx levels” . However many of the relationships do not fit standard pharmacogenomic definitions. It is clear from over a decade of label curation that many labels, including many on the FDA Biomarker list, mention genes, variants, chromosomal rearrangements, testing, drug-drug interactions and other incidental information but do not explicitly provide pharmacogenomic clinical guidance or information. Accordingly, we have altered the PGx level definition for “Informative PGx”, and created a new PGx level “Criteria Not Met” and a new drug label annotation tag "Indication”.

PharmGKB also attempts to identify and curate drug labels from other regulatory agencies for drugs with annotated FDA labels. Labels from other regulatory agencies may or may have similar information to the FDA-approved label, but sometimes the label cannot be found after a search. Previously, if a label was not found, the entry on the Drug Label Annotations Landing page was left blank. However, if a search has not yet been done, the entry is also blank, which led to ambiguity. PharmGKB now states when a label is not found.  

The main changes we are implementing are:


1. to define where the testing requirement is part of the indication of the drug.


The Indication tag is defined as “The gene or variant is an Indication for the drug, or the drug is for use in a specific population defined by the gene or variant(s), according to the label.” There are many anti-cancer drug examples of this including adagrasib and afatiniband currently 128 out of 182 indication-tagged drug labels regard variants and genes in the cancer genome. Additional non-cancer examples are alglucosidase alfa, a hydrolytic lysosomal glycogen-specific enzyme indicated for patients with Pompe disease, and desmopressin, a synthetic vasopressin analog that is FDA approved to increase plasma levels of factor VIII activity in patients with hemophilia A (F8 deficiency) and von Willebrand’s disease Type I. 


2. to update the criteria for "informative PGx" level and to indicate where the information on the label does not meet our criteria for pharmacogenomics with tag "Criteria not met". Previously, these would have been lumped into “Testing required” and “Informative PGx” tags, respectively.


The Informative PGx level is now defined as “The label contains information stating that particular gene/protein/chromosomal variants or metabolizer phenotypes do NOT affect a drug’s efficacy, dosage, metabolism or toxicity. Or, the label states that particular variants or phenotypes affect a drug’s efficacy, dosage, metabolism or toxicity, but this effect is NOT “clinically” significant”.


The Criteria not met level is defined as "the labels appear or appeared on the FDA Biomarker List but do not currently meet the requirements to be assigned as “Testing required”, “Testing recommended”, “Actionable PGx” or “Informative PGx”.  PharmGKB annotates every label that appears on the FDA Biomarker list, regardless of whether we would otherwise annotate the label. PharmGKB also checks European Medicines Agency (EMA), and Health Canada/Santé Canada (HCSC) databases for the same drug label and annotates them if they contain pharmacogenomics information and applies the PGx level tags as appropriate.”



An example that changed from "informative PGx" to "criteria not met" is blinatumomab, which is listed on the FDA table of biomarkers with BCR-ABL and CD19. The mechanism of action is via CD19 but the label does not have information on variants of CD19 and any changes in efficacy or toxicity. The label includes information on clinical studies that included patients with Philadelphia chromosome negative Refractory B-cell Precursor ALL.


Example where labels language is different across the different agencies:

Lomitapide (https://www.pharmgkb.org/chemical/PA166114922/labelAnnotation) - FDA and HCSC criteria not met, EMA testing required.

Mavacamten (https://www.pharmgkb.org/chemical/PA166272922/labelAnnotation) -  FDA and HCSC label for Mavacamten has actionable PGx whereas the EMA label requires CYP2C19 genotyping. 


3. To show when a search was performed for the label but the curator was unable to find the document at the stated repository. 


Entries in the Drug Label Annotations landing page now show “No document available” if a label could not be found. See an example screen shot from the landing page below.



4. To enable accession to the label source directly for FDA and EMA labels.


At the bottom of the drug label annotation page, there is a section titled “Source” that has a link to download the drug label that is the source of the information in the annotation. This label is typically also available in the body of the annotation. The downloadable PDF file is usually highlighted with relevant PGx and drug-drug interaction information. See an example screen shot from the label annotation for abacavir below.



When we began annotating FDA-approved drug labels over a decade ago, we did not anticipate how widespread the use of our label annotation tags would become. Many groups have published papers that discuss PGx and FDA labels using the relative numbers of our tags (e.g. PMIDs 26693845, 25317785, 25521333, 29205206, 29722046, 34412102, 28073152). In 2012 we had 113 label annotations from the FDA; we now have over a thousand label annotations across global sources. As stated in our blog from 2013, “Curators have tried to define clearly how they interpret the level of PGx information on labels, resulting in definitions that are really a rather long list of criteria. These definitions may change over time as new label wording comes up and definitions need to adjust for these new cases.” Indeed, the PGx level definitions have been tweaked over the years to accommodate the unique nuances of labels encountered during the curation process, and we continually work to apply the changes across labels from the FDA and then cross-check against other international regulatory bodies, such as the EMA and HCSC. We are pleased that the community had found our label annotations useful and strive to improve and expand the annotations for future use. We hope these updates make the drug label annotations more consistent and evidence more transparent. Please contact us at feedback@pharmgkb.org with questions.

Monday, December 18, 2023

CPIC Guideline for Potent Volatile Anesthetic Agents and Succinylcholine - RYR1 variant update

The original guideline, supplement, and the supporting gene and drug files are available on the CPIC website. Annotations of the guideline, including an interactive genotype picker tool are available on the PharmGKB website.

Subsequent to the publication of the CPIC Guideline for the Use of Potent Volatile Anesthetic Agents and Succinylcholine in the Context of RYR1 or CACNA1S Genotypes (PMID 30499100), the ClinGen malignant hyperthermia susceptibility (MHS) variant curation expert panel (VCEP) developed and published recommendations for RYR1 pathogenicity classifications in malignant hyperthermia susceptibility (PMID 35849058). CPIC has added an additional 291 variants and updated the RYR1 allele definition, frequency, and functionality tables accordingly (additional details can be found in the notes tab of the RYR1 allele functionality table). 

Pathogenic and likely pathogenic variants are assigned a CPIC function of Malignant Hyperthermia associated, variants of uncertain significance (VUS) are mapped to uncertain function, and benign and likely benign variants are assigned normal function. 

Additionally, CPIC has created a RYR1 diplotype to phenotype table. RYR1 phenotypes are determined based on the function combinations of two RYR1 variants. The RYR1 diplotype to phenotype table contains all possible combinations of two RYR1 variants included in the RYR1 allele functionality file. In case >2 variants are found, the variants with Malignant Hyperthermia associated function should be used first. If 2 Malignant Hyperthermia associated variants are found, those are assumed on different chromosomes.




Monday, November 27, 2023

New Fluoropyrimidine Toxicity Variants Reported in DPYS and PPARD

A recent paper highlights new variants and genes associated with severe fluoropyrimidine-related toxicity in patients who were genotyped as negative for the four DPYD variants the European Medicines Agency recommends testing for.

Online ahead of print in the Human Genomics journal is De Mattia et al "The burden of rare variants in DPYS gene is a novel predictor of the risk of developing severe fluoropyrimidine-related toxicity" [PMID: 37946254].

The study sequenced 120 patients with fluoropyrimidine induced grade 3-5 toxicity confirming they lacked DPYD*2A, DPYD*13, c.2846A > T, c.1236G > A-HapB3. The paper reports rare and common variants including DPYS rs143004875-T and PPARD rs2016520-T which were associated with increased risk of severe toxicity.

Thursday, November 9, 2023

Save the Date: ClinPGx 2024 Meeting

In collaboration with CPIC, PharmGKB, PharmCAT and PharmVar,  the University of Pennsylvania, Penn Center for Precision Medicine will be hosting the ClinPGx 2024: Knowledge, Implementation, Education meeting June 20th and 21st, 2024 in Philadelphia, PA. The meeting will provide educational content to cover all aspects of PGx implementation including knowledgebases, implementation strategies, informatics, use of AI in precision medicine, clinical laboratory insights, and more. Additional details to soon.

Tuesday, September 26, 2023

Frequencies of Pharmacogenomic Alleles across UK Biobank Biogeographic Groups Published

We are happy to announce the publication of our latest research article in the American Journal of Human Genetics (AJHG), titled “Frequencies of Pharmacogenomic Alleles across Biogeographic Groups in a Large-Scale Biobank.” The paper is now available online on the AJHG website.

Genetic biobanks provide rich data sets to investigate population-specific pharmacogenomic (PGx) allele frequencies and the implications of equitable and inclusive implementation. Using an integrated UK Biobank 200K genetic dataset (N = 200,044), we estimated the pharmacogenomic (PGx) allele frequencies for seventeen (17) pharmacogenes in five (5) biogeographic groups. 
  • Pharmacogenes included ABCG2, CACNA1S, CYP2B6, CYP2C19, CYP2C9, CYP3A5, CYP4F2, DPYD, G6PD, IFNL3, NUDT15, RYR1, SLCO1B1, TPMT, UGT1A1, and VKORC1. CFTR and the CYP2C cluster variant (rs12777823) were also investigated. CYP2D6 alleles that could be determined from VCF, and therefore not including structural variants, were also predicted.
  • The five (5) biogeographic groups are Europeans (n = 187,660), Central/South Asians (n = 3,460), East Asians (n = 637), African Americans/Afro-Caribbeans (n = 1,926), and Sub-Saharan Africans (n = 1,235)
  • Frequencies of PGx alleles, diplotypes, phenotypes, and/or activity scores, if applicable, were reported for each gene in each biogeographic group.

We found that 100% of the UK Biobank participants harbored at least one genetic variant found in known PGx haplotypes. 

The main takeaways messages are:

1. UK Biobank PGx frequencies complemented the CPIC frequency tables.

2. This study reported frequencies for a nontrivial number of PGx alleles that are rare or seldom tested, especially in the non-European group.

3. There are uncataloged PGx alleles.


PGx frequencies estimated from this study will be disseminated via PharmGKB. Biobank-derived allele frequencies can provide guidance for future PGx studies and clinical genetic test panel design, and better serve individuals from wider biogeographic backgrounds.


Monday, September 25, 2023

Disulfiram Pathway published in Pharmacogenetics and Genomics


Substance abuse disorders are a significant public health cost [PMID: 34453125]. Prescribers have limited choices for pharmaceutical therapies with only three FDA-approved choices for alcohol use disorder and zero for cocaine use disorder. Disulfiram is an FDA-approved treatment for alcohol use disorder which is also used for cocaine use disorder. There are some preliminary studies on the PGx of disulfiram but little replication.

PharmGKB together with Dr Aneysis De Las Mercedes Gonzalez (Stanford University School of Medicine), have published PharmGKB summary: disulfiram pathway in Pharmacogenetics and Genomics, 2023 Sep 21. doi: 10.1097/FPC.0000000000000509. Online ahead of print. PMID: 37728645. It summarizes the candidate genes involved in disulfiram PGx in pharmacokinetics and action in dopaminergic, seratonergic and noradrenergic neurons and highlights the knowledge gaps.

As always interactive versions of the diagrams with underlying linked evidence, are available on PharmGKB:

Disulfiram Pathway, Pharmacokinetics,

Disulfiram Pathway, Pharmacodynamics (Cocaine and Ethanol PK)

Disulfiram Pathway, Pharmacodynamics (Dopaminergic neuron)

Disulfiram Pathway, Pharmacodynamics (Serotonergic neuron)

Sympathetic Nerve Pathway (Neuroeffector Junction)

Friday, August 18, 2023

Please Take This Survey If Your Site Conducts DPYD Genetic Testing Prior to Fluoropyrimidine Chemotherapy

Dan Hertz (DLHertz@med.umich.edu) and the DPYD Implementation Team are collecting information from sites and clinicians in the USA that conduct DPYD genetic testing prior to fluoropyrimidine chemotherapy treatment. If this applies to you, please complete this brief (<5 minutes) survey on behalf of your site before mid-September. This information will be used to develop best practice guidelines for pre-treatment DPYD testing. 

https://umich.qualtrics.com/jfe/form/SV_9Fjv2HdyQ6K6MU6

 

Thanks for your participation!


Thursday, July 13, 2023

New AMP testing recommendations for alleles in CYP3A4 and CYP3A5













The Association for Molecular Pathology, Clinical Pharmacogenetics Implementation Consortium, College of American Pathologists, Dutch Pharmacogenetics Working Group of the Royal Dutch Pharmacists Association, European Society for Pharmacogenomics and Personalized Therapy, and Pharmacogenomics Knowledgebase have jointly published recommendations on what constitutes the minimum panel of variant alleles (tier 1) and an extended panel of variant alleles (tier 2) for CYP3A4 and CYP3A5 [PMID
:337419245].








Tier 2 CYP3A4*20


PharmGKB maintains the lists for these alleles and the tier 1 and tier 2 alleles previously published for CYP2C19, CYP2C9, VKORC1, TPMT. NUDT15 at https://www.pharmgkb.org/ampAllelesToTest


When on an allele page there is a tag to show if this allele is part of the recommended test set:


When on a gene page there is a tag to show the gene has an AMP set of test alleles plus there is a link to the AMP page from the VIP summary. 








Wednesday, July 12, 2023

Insights on CYP2C19 and phenoconversion



Phenoconversion in the PGx context is a drug-drug interaction that impacts a drug metabolizing phenotype such that it mimics the effects of a metabolizer genotype (see blog from October 2022). Historically much of the discussion on phenoconversion has focused on CYP2D6.

A new paper in Frontiers in Pharmacology investigates the phenoconversion effects of different CYP2C19 inhibitors [PMID:37361233]. 

Forty donor liver samples were genotyped for CYP2C19 *2, *3 and *17 and the metabolizer phenotypes predicted. Microsomes were assayed with the probe drug s-mephenytoin and then in the presence of strong CYP2C19 inhibitor fluvoxamine, moderate inhibitors omeprazole and voriconazole and weak inhibitor pantoprazole to look at changes in metabolizer status. 






Excerpts from paper:

“Our results demonstrate that the outcome of a DDI is dictated by both inhibitor strength and CYP2C19 activity, which is in turn dependent on genotype and non-genetic factors including comorbidities. … 

Fluvoxamine, a strong inhibitor of CYP2C19, caused 86% of *1/*17 donors to become phenotypically IM, whereas most of genetically-predicted IMs were converted to a PM phenotype (57%). In accordance with unaltered CYP2C19 activity in patients with gastroesophageal reflux disease taking pantoprazole, weak inhibition by pantoprazole did not induce phenoconversion…

However, the outcomes of DDIs with moderate inhibitors (omeprazole/voriconazole) matched less well to the proposed phenoconversion model by Mostafa et al, which predicted that NMs/IMs convert to a PM phenotype upon moderate inhibition of CYP2C19. In our study, voriconazole, which acts as a moderate CYP2C19 inhibitor, significantly reduced the drug metabolizing capabilities of CYP2C19 by approximately one level (i.e., from a phenotypic NM to a IM). As a result, 40% of the donors (12/30) were converted into IM or PM phenotypes by voriconazole. Though, none of the NMs were converted into PMs, except for one donor who already exhibited impaired CYP2C19 activity in the absence of voriconazole treatment (basal phenoconversion). For omeprazole, phenoconversion into IM or PM phenotypes was even less frequently seen, in only 10% of the donors …

Altogether, our data suggest that CYP2C19 inhibition by moderate inhibitors can result in phenoconversion, but it seems unlikely to result into a PM phenotype for wild-type *1/*1 genotypes.”


There are a number of interesting results and discussion points:


  • There is phenoconversion from disease phenotype - namely diabetes. 
  • The initial concordance for genotype to phenotype with s-mephenytoin was only 40% and the two CYP2C19*17/*17 did not have ultra-rapid UM phenotype (with Vmax in the low normal NM range). The discussion mentions “other (rare) genetic variants within CYP2C19 could also have influenced the mismatch between predicted and observed activities in our study” but it would have been useful to have ruled out *4. The *17/*17 did produce functional mRNA but the *4 is in the start codon and its impact is on translation not transcription [PMID: 9435198]. 
  • There were two *1/*1 outliers with very high UM phenotype that would be interesting to see further genetic analysis of especially given the escitalopram UM CYP2C-haplotype defined by rs2860840T and rs11188059G in [PMID: 33759177]. 


Overall, this paper shows that while phenoconversion exists for CYP2C19 based on disease status and DDIs, the impact is not a simple downgrading of phenotype (e.g. from IM to PM) that can be applied in a consistent manner across subjects. The authors show that even for strong inhibitors, phenoconversion happens in 40%-86% of subjects with no clear way to predict which subjects would experience phenoconversion and which wouldn’t. More research on how DDIs alter patient-predicted genotype to phenotype  is needed to enable better prediction of patient phenotype for PGx drug dosing recommendations.



Monday, June 26, 2023

ClinGen Pharmacogenomics Working Group (PGxWG) Survey To Close Soon

 

The ClinGen Pharmacogenomics Working Group (PGxWG)'s anonymous survey will close soon after this Friday, June 30, 2023. Our goal is to gather opinions and feedback regarding the criteria and terminology that should be used to define clinical validity and actionability for pharmacogenes and variants. If you have not yet had the chance to fill it out or pass it along, please do so soon! 

Pharmacogenomics expertise is not required - we are also looking for responses across the broader global genetics and medical communities as well (clinicians, pharmacists, labs, genetic counselors, etc.) All responses are appreciated, no matter who you are or where you are in the world. If you’ve previously completed the survey, we appreciate your contribution and there's no need to submit a second response. 

The survey can be accessed at: https://stanforduniversity.qualtrics.com/jfe/form/SV_1IdrrPWBXsV2Xt4.  We sincerely appreciate your time and participation, and your willingness to help.

Friday, June 9, 2023

ClinPGx Sessions at PGRN 2023 Conference and ClinGen Summer Workshops

At the upcoming PGRN 2023 annual conference in Memphis, Dr. Teri E. Klein, the principle investigator for PharmGKB, ClinGen, CPIC and PharmCAT,  will hold a town hall discussion on ClinPGx: a single integrated resource for Pharmacogenomics (PGx). Dr. Klein will discuss the challenge of the separation of pharmacogenomic resources from clinical genomic resources, and present a long-term, conceptual framework for broadly integrating the available PGx resources into a single resource, ClinPGx. 

Dr. Klein will also present at the upcoming ClinGen 2023 Summer Workshop Series on June 16 11am PT. Please come join us. We are actively seeking feedback from the PGx and genomics community on the interest and development of ClinPGx to facilitate the incorporation of PGx into standard of care. Zoom link below: 

June 16th, 2023, 11am PT/ 2pm ET 

Join Zoom Meeting : 

https://acmg.zoom.us/j/87027015818?pwd=S2U2OTFhQ1oranFZZjNlTEhHN0FlUT09 

Meeting ID: 870 2701 5818 

Passcode: 83854960 

One tap mobile 

+16699006833,,87027015818# US (San Jose) 

+17193594580,,87027015818# US 


ClinGen Pharmacogenomics Working Group (PGxWG) Survey Open Until June 30, 2023

The ClinGen Pharmacogenomics Working Group (PGxWG)'s anonymous survey is OPEN until June 30, 2023. Our goal is to gather opinions and feedback regarding the criteria and terminology that should be used to define clinical validity and actionability for pharmacogenes and variants. Please help disseminate to ALL (clinicians, pharmacists, labs, genetic counselors, etc.). We are looking for BROAD global participations - please send to your friends and colleagues too!  If you’ve previously completed the survey, we appreciate your contribution and there's no need to submit a second response. 

The survey can be accessed at: https://stanforduniversity.qualtrics.com/jfe/form/SV_1IdrrPWBXsV2Xt4.  We sincerely appreciate your time and participation, and your willingness to help.



Wednesday, May 10, 2023

Announcement of PharmVar Content Changes

PharmVar continues to evolve and strive to offer high-quality content to our global users. To allow us to bring new clinically relevant content to PharmVar we needed to make some difficult decisions and ‘retire’ several CYP genes. This decision is based on a newly developed points-based rating system (0-100 points) that allows us to prioritize which genes to maintain and which genes to evaluate for future introduction into PharmVar. More detailed information regarding PharmVar gene content and prioritization will be posted under the GENES tab once these changes have taken effect May 12, 2023.

The following genes were not considered pharmacogenes by PharmVar due to their contribution to lipid and steroid metabolism and/or associations with disease and will be retired:  CYP4A11, CYP4A22, CYP4B1CYP17A1CYP19A1, CYP21A2CYP26A1TBXAS1  and PTGIS (0 points each), though several of these genes have variant and low level clinical annotations on PharmGKB. Other databases such as ClinGen and/or ClinVar may also be consulted for variation annotations. These genes were listed by PharmVar as ‘legacy’ genes. POR (3 points) was also listed as a legacy gene.  The following genes were transitioned into the PharmVar database, but never curated by an expert panel nor any additional data added: CYPs  1A11B12E1, 2F4, 2J22R1, 2S1, 2W1, 3A7 and 3A43. These genes were not deemed to be clinically important pharmacogenes by the PharmVar Steering Committee based on having 0 points in the ranking system and will also be retired. Furthermore, the link to the archived Human Cytochrome P450 (CYP) Allele Nomenclature database record (last version by cypalleles.ki.se in 2017) will be deactivated to discourage use of outdated information (a copy can be requested through support@pharmvar.org).

If new data emerges and rankings change, a gene may be reintroduced to PharmVar. 

 

NAT2 is currently undergoing curation and is anticipated to be transferred from the Databases of Arylamine N-acetyltransferases (NATs) to PharmVar in summer 2023. The introduction of NAT2 into the PharmVar database is timely as CPIC is initiating a guideline for the NAT2/hydralazine gene-drug pair.  Additionally, NAT2 has multiple clinical annotations and mulitple annotated FDA and other regulatory agency labels.

 

As always, PharmVar values your feedback and suggestions support@pharmvar.org.

Monday, May 1, 2023

CYP3A5 genotyping is a more accurate predictor of drug response than race alone

 A new paper in Journal of Clinical Pharmacology from a group at Indiana University [PMID:37042314] implemented genotyping for CYP3A5 in a kidney transplant center.

The team used CPIC guidelines for tacrolimus dosing based on CYP3A5 genotype.

Implementation included provider education and clinical decision support in the electronic medical record.


This study reinforces that CYP3A5 genotype is an important predictor of therapeutic tacrolimus trough concentrations. They demonstrate that CYP3A5 normal and intermediate metabolizers had fewer tacrolimus trough concentrations within the desired range post-transplantation and took longer to achieve therapeutic dose than poor metabolizers. While the authors note they were underpowered to measure outcomes, there was a trend towards transplant rejection or all-cause mortality within the first year of transplant based on CYP3A5 metabolizer phenotype.


The paper highlights how, despite the guidelines from CPIC being published in 2015, the FDA label still currently only has language around race-based dose adjustment rather than giving precise guidance based on genotype:

“The FDA drug label recommends higher starting doses in individuals of African ancestry, but only 70% of African Americans are normal/intermediate metabolizers. CYP3A5 normal/intermediate metabolizers are also found among whites and Asians (East Asian and Central/South Asian) at lower frequencies (14% and 44-55%, respectively).”

“Self-reported African American race is more closely associated with CYP3A5 expresser status than other self-reported race categories, but self-reported race is not an accurate surrogate for genotype.”


The discussion is a reminder that pharmacogenomics can play a key role in reducing bias and fulfilling personalized precision medicine.

“Equality and minimization of bias in healthcare has recently become prioritized by healthcare systems as recognition of racial bias has come to the forefront in many non-healthcare aspects of society”

“One dose standard protocols and using race as a surrogate for genotype can both potentiate racial disparities in tacrolimus dosing. Routine CYP3A5 genotyping is a more accurate predictor of drug response than race alone and deemphasizes race as a biological variable in clinical care”


Thursday, April 13, 2023

CPIC Guideline for CYP2D6, CYP2C19, CYP2B6, SLC6A4 and HTR2A Genotypes and Serotonin Reuptake Inhibitor Antidepressants

The CPIC guideline for CYP2D6, CYP2C19, CYP2B6, SLC6A4 and HTR2A genotypes and Serotonin Reuptake Inhibitor Antidepressants has been published in the journal Clinical Pharmacology and Therapeutics. This new guideline updates the CPIC guideline for Selective Serotonin Reuptake Inhibitors and CYP2D6 and CYP2C19, and includes additional Serotonin Reuptake Inhibitor Antidepressants and three additional genes, CYP2B6, HTR2A, and SLC6A4 


The guideline gives specific prescribing recommendations for:

  • paroxetine, fluvoxamine, venlafaxine, and vortioxetine based on CYP2D6 phenotypes
  • escitalopram and citalopram based on CYP2C19 phenotypes
  • sertraline based on CYP2C19 and CYP2B6 phenotypes

Clinical recommendations are not provided for serotonin reuptake inhibitor antidepressants based on HTR2A and SLC6A4 genotypes because the current evidence is mixed and/or insufficient to support clinical validity and utility.
 
For specific recommendations and further details, please refer to the guideline and supplemental materials on the CPIC website. Annotations of the guideline, including an interactive genotype picker tool for the drugs mentioned above, are available on the PharmGKB website.

Monday, April 10, 2023

It’s national poetry month again!


I am not a mouse.
It’s the reference allele
(hg38).


I am not a mouse.
It's the common variant
In these folks tested.


Saw on minus strand
G is the major allele
In this group tested.


C is the minor
It’s the reference allele
(hg38).


Last year I wrote a haiku to highlight my gripe about authors declaring a patient a *1 but not stating which alleles were tested so not conclusively ruling out the presence of variants. This year I have a series of haiku on another gripe of mine - authors using the term “wild-type” when talking about humans. I’ve been guilty of it in the past but when we know better we do better. The one upside of it is it's a way one can avoid using terms major/minor allele when those might be different in different populations and thus ambiguous, but I think most study participants would not want to be categorized as wild-type, certainly most would not want to be called mutant (unless it comes with some X-men type powers). The terms I would recommend are “reference allele/genotype” (on genome build …) and “comparison allele/genotype”. If using major/minor allele then state explicitly what base that was in the given population, and describe the population, and which strand the allele was measured on (especially for C/G and A/T variants and genes on minus chromosomal strand). We have been seeing problems lately when authors assume the reference allele on the genome build hg38 is the major allele in most populations and that is not always the case. If in doubt give as much information as possible.

Monday, March 20, 2023

CYP2D6 allele function update

The CYP2D6 allele functionality file has been re-evaluated and updated by experts involved in CYP2D6-related CPIC guidelines. CYP2D6 functions are now assigned up to star allele 163. 

Part of the re-evaluation focused on alleles that include 100C>T (P34S) (*10 key SNP). Furthermore, the activity value of several decreased function alleles, e.g. *9 and *41, was downgraded to 0.25. 

The updated file can be accessed through CYP2D6-related guidelines on the CPIC website and through the CYP2D6 resource page on PharmGKB. The updated functions are also displayed on the PharmVar CYP2D6 page .

Monday, March 13, 2023

ClinGen Pharmacogenomics Working Group (PGxWG) Follow-Up Survey

The ClinGen Pharmacogenomics Working Group (PGxWG) has just launched a second survey to solicit feedback about the criteria and terminology that should be used to define clinical validity and actionability for pharmacogenes and variants from both the PGx community and the wider genetics and medical communities. Please note that this second survey is not independent of the first, and if you’ve taken the previous survey and have significant PGx familiarity or expertise, there is no need to take this iteration, as it would be redundant due to the overlap in questions.

The ClinGen PGxWG is a multi-disciplinary team of researchers and professionals with expertise in pharmacogenomics (PGx), clinical pharmacology, medical genetics, regulatory affairs, and molecular diagnostics. It was launched in February 2022 with the goal of developing a framework of tiered standard terminology and definitions that reflect clinical significance for genes and genomic variants implicated in drug response, in order to facilitate the incorporation of PGx knowledge into ClinGen and more consistent interpretation of PGx variants identified by panel testing and/or sequencing.

The survey is open now and can be accessed at: https://stanforduniversity.qualtrics.com/jfe/form/SV_1IdrrPWBXsV2Xt4. All responses are greatly appreciated, no matter who you are or where you are in the world. Unlike the previous survey, this survey does not assume PGx familiarity, though if you have not taken the previous survey and have PGx familiarity, your feedback is still greatly appreciated. The survey takes approximately 15 minutes to complete. We sincerely appreciate your time and attention, and your willingness to help.

Monday, February 6, 2023

ClinGen Pharmacogenomics Working Group (PGxWG) Survey


The ClinGen Pharmacogenomics Working Group (PGxWG) has launched a survey to solicit feedback about the criteria and terminology that should be used to define clinical validity and actionability for pharmacogenes and variants. 

The ClinGen PGxWG is a multi-disciplinary team of researchers and professionals with expertise in pharmacogenomics (PGx), clinical pharmacology, medical genetics, regulatory affairs, and molecular diagnostics. It was launched in February 2022 with the goal of developing a framework of tiered standard terminology and definitions that reflect clinical significance for genes and genomic variants implicated in drug response, in order to facilitate the incorporation of PGx knowledge into ClinGen and more consistent interpretation of PGx variants identified by panel testing and/or sequencing.

The survey is open now and can be accessed at: https://stanforduniversity.qualtrics.com/jfe/form/SV_bKqeKf2YmCVS1LM.  All responses are greatly appreciated, no matter who you are or where you are in the world. This survey does assume some PGx familiarity, though we plan to launch another survey targeting those with less PGx experience in the near future. The survey takes approximately 10 minutes to complete. We sincerely appreciate your time and attention, and your willingness to help.