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REVIEW article

Front. Genet.

Sec. Pharmacogenetics and Pharmacogenomics

Volume 16 - 2025 | doi: 10.3389/fgene.2025.1435416

This article is part of the Research Topic Advances in Pharmacogenomics: Basic, Translational, and Clinical View all 13 articles

Leveraging Long-Read Sequencing Technologies for Pharmacogenomic Testing: Applications, Analytical Strategies, Challenges, and Future Perspectives

Provisionally accepted
  • 1 Department of Molecular Neuropharmacology, Maj Institute of Pharmacology (PAS), Krakow, Poland
  • 2 Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, Iran
  • 3 Gilan University of Medical Sciences, Rasht, Gilan, Iran
  • 4 University of Arizona, Tucson, Arizona, United States

The final, formatted version of the article will be published soon.

    Long-read sequencing (LRS) was introduced as the third generation of next-generation sequencing technologies with a high accuracy rate in genomic variant identification for some of its platforms. Due to the structural complexity of many pharmacogenes, the presence of rare variants, and the limitations of genotyping and short read sequencing approaches in detecting pharmacovariants, LRS methods are likely to become increasingly utilized in the near future. In this review, we aim to provide a comprehensive discussion of current and future applications of long-read genotyping methods, by introducing the opportunities and advantages as well as challenges and disadvantages of state-of-the-art LRS platforms for the implementation of pharmacogenomic tests in clinical and research settings. New approaches to data processing, as well as the challenges and pitfalls of performing such tests in daily practice, will be explored in detail. We provide references to resources for those who are

    Keywords: Long-read sequencing, clinical pharmacogenomics, Applications and challenges, third generation sequencing, Rare Pharmacovariants

    Received: 20 May 2024; Accepted: 07 Apr 2025.

    Copyright: © 2025 Tafazoli, Hemmati, Rafigh, Alimardani, Khaghani, Korostynski and Karnes. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jason Karnes, University of Arizona, Tucson, 85721, Arizona, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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