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Is PegIntron affected by genetics?

Yes — the active ingredient is metabolized by a gene known to vary between individuals.

Relevant genes: IFNL3

PegIntron is affected by pharmacogenetics through the IFNL3 gene. Your genotype for this gene can change how your body processes PegIntron, which can affect both how well it works and how well you tolerate it. The strongest evidence level on this page is Strong, based on CPIC or FDA guidelines.

What's in PegIntron

peginterferon alfa-2b affected by IFNL3

Affected by IFNL3 · CPIC · Strong evidence
Read the full peginterferon alfa-2b genetics guide →

Peginterferon Alfa-2b phenotype recommendations

Published guidance from CPIC on how peginterferon alfa-2b should be dosed or substituted based on your IFNL3 phenotype.

PhenotypeWhat it meansRecommendationEvidence
Favorable response genotype
IFNL3
Your genetics suggest a favorable response to peginterferon alfa-2b for treating hepatitis C. You have a higher chance of clearing the virus and may be eligible for a shorter treatment course.
CPIC Approximately 90% chance for SVR after 24-48 weeks of treatment. Approximately 80-90% of patients are eligible for shortened therapy (24-28 weeks vs. 48 weeks)d. Weighs in favor of using PEG-IFN alpha and RBV containing regimens.
Strong
Unfavorable response genotype
IFNL3
Your genetics suggest a less favorable response to peginterferon alfa-2b for treating hepatitis C. You have a lower chance of clearing the virus with this treatment, and alternative therapies should be considered.
CPIC Approximately 60% chance for SVR after 24-48 weeks of treatment. Approximately 50% of patients are eligible for shortened therapy (24-28 weeks). Consider implications before initiating PEG-IFN and RBV containing regimens.
Strong

Find out how your genetics affect PegIntron

This page describes the general pharmacogenetics. A Gene2Rx report analyzes your own DNA to tell you which metabolizer group you fall into, across every medication.

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Informational only — not medical advice. Pharmacogenetic guidance describes population-level patterns; your individual response depends on many factors. Never start, stop, or change a medication without talking to your prescribing clinician.

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