Literature DB >> 29795409

Genotype, phenotype, and medication recommendation agreement among commercial pharmacogenetic-based decision support tools.

Chad A Bousman1,2, Boadie W Dunlop3.   

Abstract

The degree of agreement between four commercial pharmacogenetic-based decision support tools (DSTs) was examined in five outpatients with major depressive disorder and at least two previous antidepressant failures. Comparisons were made across seven pharmacokinetic (CYP1A2, CYP2B6, CYP2C19, CYP2C9, CYP2D6, CYP3A4, and UGT2B15) and seven pharmacodynamic (BDNF, COMT, HLA-A, HTR2A, HTR2C, OPRM1, and SLC6A4) genes that were included on ≥2 of the four DST testing panels. Among these overlapping genes, genotype (33-100%) and predicted phenotype (20-100%) agreement varied substantially. Medication recommendation agreement was the greatest for mood stabilizers (84%), followed by antidepressants (56%), anxiolytics/hypnotics (56%), and antipsychotics (55%). Approximately one-quarter (26%) of all medication recommendations were jointly flagged by two or more DSTs as "actionable" but 19% of these recommendations provided conflicting advice (e.g., dosing) for the same medication.The level of disagreement in medication recommendations across the pharmacogenetic DSTs indicates that these tests cannot be assumed to be equivalent or interchangeable. Additional efforts to standardize genetic-based phenotyping and to develop medication guidelines are warranted.

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Year:  2018        PMID: 29795409     DOI: 10.1038/s41397-018-0027-3

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  28 in total

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Review 3.  Gene-drug pairings for antidepressants and antipsychotics: level of evidence and clinical application.

Authors:  Lara E Murphy; Trehani M Fonseka; Chad A Bousman; Daniel J Müller
Journal:  Mol Psychiatry       Date:  2021-11-09       Impact factor: 15.992

4.  Multi-gene Pharmacogenomic Testing That Includes Decision-Support Tools to Guide Medication Selection for Major Depression: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2021-08-12

5.  Pharmacogenetics: A Precision Medicine Approach to Combatting the Opioid Epidemic.

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Review 6.  Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection.

Authors:  Alfredo B Cuéllar-Barboza; Susan L McElroy; Marin Veldic; Balwinder Singh; Simon Kung; Francisco Romo-Nava; Nicolas A Nunez; Alejandra Cabello-Arreola; Brandon J Coombes; Miguel Prieto; Hannah K Betcher; Katherine M Moore; Stacey J Winham; Joanna M Biernacka; Mark A Frye
Journal:  Int J Bipolar Disord       Date:  2020-07-04

Review 7.  User considerations in assessing pharmacogenomic tests and their clinical support tools.

Authors:  Gouri Mukerjee; Andrea Huston; Boyko Kabakchiev; Micheline Piquette-Miller; Ron van Schaik; Ruslan Dorfman
Journal:  NPJ Genom Med       Date:  2018-09-11       Impact factor: 8.617

8.  A Pharmacogenomic-based Antidepressant Treatment for Patients with Major Depressive Disorder: Results from an 8-week, Randomized, Single-blinded Clinical Trial.

Authors:  Changsu Han; Sheng-Min Wang; Won-Myong Bahk; Soo-Jung Lee; Ashwin A Patkar; Prakash S Masand; Laura Mandelli; Chi-Un Pae; Alessandro Serretti
Journal:  Clin Psychopharmacol Neurosci       Date:  2018-11-30       Impact factor: 2.582

9.  Personalized management in functional gastrointestinal disorders based on genomics: hope at last or just feigned praise?

Authors:  Xiao Jing Iris Wang; Michael Camilleri
Journal:  Therap Adv Gastroenterol       Date:  2019-01-23       Impact factor: 4.409

Review 10.  A Rational Use of Clozapine Based on Adverse Drug Reactions, Pharmacokinetics, and Clinical Pharmacopsychology.

Authors:  Jose de Leon; Can-Jun Ruan; Georgios Schoretsanitis; Carlos De Las Cuevas
Journal:  Psychother Psychosom       Date:  2020-04-14       Impact factor: 17.659

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