Literature DB >> 27248710

Requirements for comprehensive pharmacogenetic genotyping platforms.

Volker M Lauschke1, Magnus Ingelman-Sundberg1.   

Abstract

Recent research highlighted the large extent of rare variants in pharmacogenes and, on this basis, it was estimated that rare variants account for 30-40% of the functional variability in pharmacogenes. It has been proposed that comprehensive next-generation sequencing (NGS)-based sequencing of pharmacogenes could soon be a cost-effective methodology for clinical routine genotyping. Yet, multiple challenges on technical, interpretative and ethical levels need to be overcome to enable the reasonable dissemination of comprehensive pharmacogenetic genotyping, that includes rare genetic variation, into clinical practice. We argue that current pre-emptive pharmacogenetic testing cannot be based on comprehensive approaches but needs to be restricted to validated variants. Rather, comprehensive strategies should only be used for retrospective analyses of patients exhibiting unanticipated drug responses. Thereby, subsequent to computational analyses and functional validations, emerging variants with confirmed functional relevance can be incorporated into candidate genotyping strategies, thus refining and enhancing future pre-emptive genetic testing.

Entities:  

Keywords:  clinical implementation; genetic variation; personalized medicine; pharmacogenomics; precision medicine

Mesh:

Year:  2016        PMID: 27248710     DOI: 10.2217/pgs-2016-0023

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  21 in total

Review 1.  The Role of Next-Generation Sequencing in Pharmacogenetics and Pharmacogenomics.

Authors:  Ute I Schwarz; Markus Gulilat; Richard B Kim
Journal:  Cold Spring Harb Perspect Med       Date:  2019-02-01       Impact factor: 6.915

Review 2.  Novel genetic and epigenetic factors of importance for inter-individual differences in drug disposition, response and toxicity.

Authors:  Volker M Lauschke; Yitian Zhou; Magnus Ingelman-Sundberg
Journal:  Pharmacol Ther       Date:  2019-01-22       Impact factor: 12.310

Review 3.  Pharmacogenomic Biomarkers for Improved Drug Therapy-Recent Progress and Future Developments.

Authors:  Volker M Lauschke; Lili Milani; Magnus Ingelman-Sundberg
Journal:  AAPS J       Date:  2017-11-27       Impact factor: 4.009

Review 4.  Advancing Pharmacogenomics from Single-Gene to Preemptive Testing.

Authors:  Cyrine E Haidar; Kristine R Crews; James M Hoffman; Mary V Relling; Kelly E Caudle
Journal:  Annu Rev Genomics Hum Genet       Date:  2022-05-10       Impact factor: 9.340

5.  Novel copy-number variations in pharmacogenes contribute to interindividual differences in drug pharmacokinetics.

Authors:  María Santos; Mikko Niemi; Masahiro Hiratsuka; Masaki Kumondai; Magnus Ingelman-Sundberg; Volker M Lauschke; Cristina Rodríguez-Antona
Journal:  Genet Med       Date:  2017-10-26       Impact factor: 8.822

6.  Targeted Genotyping in Clinical Pharmacogenomics: What Is Missing?

Authors:  Jaime L Lopes; Kimberley Harris; Mary Beth Karow; Sandra E Peterson; Michelle L Kluge; Katrina E Kotzer; Guilherme S Lopes; Nicholas B Larson; Suzette J Bielinski; Steven E Scherer; Liewei Wang; Richard M Weinshilboum; John L Black; Ann M Moyer
Journal:  J Mol Diagn       Date:  2022-01-15       Impact factor: 5.341

7.  Observational study to calculate addictive risk to opioids: a validation study of a predictive algorithm to evaluate opioid use disorder.

Authors:  Ashley Brenton; Steven Richeimer; Maneesh Sharma; Chee Lee; Svetlana Kantorovich; John Blanchard; Brian Meshkin
Journal:  Pharmgenomics Pers Med       Date:  2017-05-18

8.  Validation Study of a Predictive Algorithm to Evaluate Opioid Use Disorder in a Primary Care Setting.

Authors:  Maneesh Sharma; Chee Lee; Svetlana Kantorovich; Maria Tedtaotao; Gregory A Smith; Ashley Brenton
Journal:  Health Serv Res Manag Epidemiol       Date:  2017-08-24

9.  A prospective, longitudinal study to evaluate the clinical utility of a predictive algorithm that detects risk of opioid use disorder.

Authors:  Ashley Brenton; Chee Lee; Katrina Lewis; Maneesh Sharma; Svetlana Kantorovich; Gregory A Smith; Brian Meshkin
Journal:  J Pain Res       Date:  2018-01-05       Impact factor: 3.133

Review 10.  The Importance of Patient-Specific Factors for Hepatic Drug Response and Toxicity.

Authors:  Volker M Lauschke; Magnus Ingelman-Sundberg
Journal:  Int J Mol Sci       Date:  2016-10-12       Impact factor: 5.923

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