Evidence map›Paper›PMID 31461080›Full record

ArticlePharmacogenetics and genomics2019

Assessing the clinical impact of CYP2C9 pharmacogenetic variation on phenytoin prescribing practice and patient response in an integrated health system.

Alison E Fohner, Dilrini K Ranatunga, Khanh K Thai, Brian L Lawson, Neil Risch, Akinyemi Oni-Orisan, Aline T Jelalian, Allan E Rettie, Vincent X Liu, Catherine A Schaefer

Abstract read
In one paragraph

Article in Pharmacogenetics and genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Association of decreased CYP2C9 function,Frontiers in pharmacology · 2026
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Alison E FohnerDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Dilrini K RanatungaDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Khanh K ThaiDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Brian L LawsonDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Neil RischInstitute of Human Genetics.
Akinyemi Oni-OrisanInstitute of Human Genetics.
Aline T JelalianDepartment of Neurology, Kaiser Permanente Northern California, Walnut Creek, California.
Allan E RettieDepartment of Medicinal Chemistry, University of Washington, Seattle, Washington, USA.
Vincent X LiuDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Catherine A SchaeferDivision of Research, Kaiser Permanente Northern California, Oakland, California.

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
Vitamin K gene network: Variant discovery and characterizationP01GM116691 · NIGMS · UNIVERSITY OF WASHINGTON · PI RETTIE, ALLAN EDWARD · 2016 to 2020
$7.6M
Identifying pre-sepsis opportunities for early, targeted intervention - Equipment SupplementR35GM128672 · NIGMS · KAISER FOUNDATION RESEARCH INSTITUTE · PI Vincent Liu · 2018 to 2026
$4.3M
NIA NIH HHS RC2 AG036607NIGMS NIH HHS P01 GM116691NIGMS NIH HHS R35 GM128672
6 · The paper itself

Abstract

objectiveTo assess the impact of CYP2C9 variation on phenytoin patient response and clinician prescribing practice where genotype was unknown during treatment.

methodsA retrospective analysis of Resource on Genetic Epidemiology Research on Adult Health and Aging cohort participants who filled a phenytoin prescription between 1996 and 2017. We used laboratory test results, medication dispensing records, and medical notes to identify associations of CYP2C9 genotype with phenytoin blood concentration, neurologic side effects, and medication dispensing patterns reflecting clinician prescribing practice and patient response.

resultsAmong 993 participants, we identified 69% extensive, 20% high-intermediate, 10% low-intermediate, and 2% poor metabolizers based on CYP2C9 genotypes. Compared with extensive metabolizer genotype, low-intermediate/poor metabolizer genotype was associated with increased dose-adjusted phenytoin blood concentration [21.3 pg/mL, 95% confidence interval (CI): 13.6-29.0 pg/mL; P < 0.01] and increased risk of neurologic side effects (hazard ratio: 2.40, 95% CI: 1.24-4.64; P < 0.01). Decreased function CYP2C9 genotypes were associated with medication dispensing patterns indicating dose decrease, use of alternative anticonvulsants, and worse adherence, although these associations varied by treatment indication for phenytoin.

conclusionCYP2C9 variation was associated with clinically meaningful differences in clinician prescribing practice and patient response, with potential implications for healthcare utilization and treatment efficacy.

Indexed as

Pharmacogenomic VariantsAdultAgedAged, 80 and overCytochrome P-450 CYP2C9Delivery of Health Care, IntegratedDose-Response Relationship, DrugElectronic Health RecordsFemaleHumansMaleMedication AdherenceMiddle AgedPharmacogenomic TestingPhenytoinPractice Patterns, Physicians'CYP2C9 protein, humanCytochrome P-450 CYP2C9Phenytoin

Identifiers

PMID31461080
PMCPMC6989102

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.