Analytical validation of a psychiatric pharmacogenomic test

被引：28

作者：

Jablonski, Michael R. ^{[1
]}

King, Nina ^{[1
]}

Wang, Yongbao ^{[1
]}

Winner, Joel G. ^{[1
]}

Watterson, Lucas R. ^{[1
]}

Gunselman, Sandra ^{[1
]}

Dechairo, Bryan M. ^{[1
]}

机构：

[1] Assurex Hlth Inc, Mason, OH 45040 USA

来源：

PERSONALIZED MEDICINE | 2018年 / 15卷 / 03期

关键词：

analytical validation; combinatorial pharmacogenomics; genetic testing; neuropsychiatric conditions; pharmacogenomics; IMPACT; HYPERSENSITIVITY; CARBAMAZEPINE; ASSOCIATION; PAROXETINE; CYP2D6; DRUG; HLA;

D O I：

10.2217/pme-2017-0094

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Aim: The aim of this study was to validate the analytical performance of a combinatorial pharmacogenomics test designed to aid in the appropriate medication selection for neuropsychiatric conditions. Materials & methods: Genomic DNA was isolated from buccal swabs. Twelve genes (65 variants/alleles) associated with psychotropic medication metabolism, side effects, and mechanisms of actions were evaluated by bead array, MALDI-TOF mass spectrometry, and/or capillary electrophoresis methods (GeneSight Psychotropic, Assurex Health, Inc.). Results: The combinatorial pharmacogenomics test has a dynamic range of 2.5-20 ng/mu l of input genomic DNA, with comparable performance for all assays included in the test. Both the precision and accuracy of the test were > 99.9%, with individual gene components between 99.4 and 100%. Conclusion: This study demonstrates that the combinatorial pharmacogenomics test is robust and reproducible, making it suitable for clinical use.

引用

页码：189 / 197

页数：9

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