Literature DB >> 22228255

Pharmacogenetic screening for drug therapy: from single gene markers to decision making in the next generation sequencing era.

Mladen Tzvetkov1, Nicolas von Ahsen.   

Abstract

Pharmacogenetics has substantially added to our understanding of the variability of drug response. A number of single gene markers have been established and are ready to use in clinical practice. Here we review the validity and utility of markers in a number of genes (CYP2D6, CYP2C19, CYP2C9, VKORC1, TPMT, UGT1A1, OATP1B1, KRAS and HLA locus) for therapy decisions. As drug response is a complex trait in the majority of cases, most of the identified functional variants will only explain a limited part of the variability of drug response. In this sense, a phenotype is the product of many low-penetrance variations. Technical progress has not only improved the cost-effectiveness of screening for single gene markers, but offers the possibility of generating vast amounts of genome-wide single nucleotide polymorphism (SNP) or sequence data for each patient. The latest challenge is to incorporate these amounts of data into pharmacogenetic decision support. We discuss here the challenges associated with choosing the correct therapy for patients who present to their physicians with personal genome data.

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Year:  2012        PMID: 22228255     DOI: 10.1097/PAT.0b013e32834f4d69

Source DB:  PubMed          Journal:  Pathology        ISSN: 0031-3025            Impact factor:   5.306


  10 in total

Review 1.  A review of pharmacogenetics of adverse drug reactions in elderly people.

Authors:  Maurizio Cardelli; Francesca Marchegiani; Andrea Corsonello; Fabrizia Lattanzio; Mauro Provinciali
Journal:  Drug Saf       Date:  2012-01       Impact factor: 5.606

Review 2.  Pharmacogenetics and pharmacogenomics in rheumatology.

Authors:  Zoltán Szekanecz; Bertalan Meskó; Szilard Poliska; Andrea Váncsa; Szilvia Szamosi; Edit Végh; Enikö Simkovics; Judit Laki; Júlia Kurkó; Timea Besenyei; Katalin Mikecz; Tibor T Glant; László Nagy
Journal:  Immunol Res       Date:  2013-07       Impact factor: 2.829

Review 3.  Pharmacogenomics of high-density lipoprotein-cholesterol-raising therapies.

Authors:  Stella Aslibekyan; Robert J Straka; Marguerite R Irvin; Steven A Claas; Donna K Arnett
Journal:  Expert Rev Cardiovasc Ther       Date:  2013-03

4.  Hybridization-Induced Aggregation Technology for Practical Clinical Testing: KRAS Mutation Detection in Lung and Colorectal Tumors.

Authors:  Hillary S Sloane; James P Landers; Kimberly A Kelly
Journal:  J Mol Diagn       Date:  2016-06-08       Impact factor: 5.568

5.  Cost-minimization analysis of GSTP1c.313A>G genotyping for the prevention of cisplatin-induced nausea and vomiting: A Bayesian inference approach.

Authors:  Ligia Traldi Macedo; Vinicius Eduardo Ferrari; Juliana Carron; Ericka Francislaine Dias Costa; Leisa Lopes-Aguiar; Gustavo Jacob Lourenço; Carmen Silvia Passos Lima
Journal:  PLoS One       Date:  2019-03-14       Impact factor: 3.240

Review 6.  Pharmacogenomic Testing: Clinical Evidence and Implementation Challenges.

Authors:  Catriona Hippman; Corey Nislow
Journal:  J Pers Med       Date:  2019-08-07

7.  MicroRNAs serve as prediction and treatment-response biomarkers of attention-deficit/hyperactivity disorder and promote the differentiation of neuronal cells by repressing the apoptosis pathway.

Authors:  Liang-Jen Wang; Ho-Chang Kuo; Sheng-Yu Lee; Lien-Hung Huang; Yuyu Lin; Pei-Hsien Lin; Sung-Chou Li
Journal:  Transl Psychiatry       Date:  2022-02-19       Impact factor: 6.222

8.  Patterns of cancer genetic testing: a randomized survey of Oregon clinicians.

Authors:  Summer L Cox; Amy I Zlot; Kerry Silvey; Debi Elliott; Tara Horn; Amber Johnson; Richard F Leman
Journal:  J Cancer Epidemiol       Date:  2012-10-24

9.  From genes to genomes in the clinic.

Authors:  Joris A Veltman; James R Lupski
Journal:  Genome Med       Date:  2015-07-29       Impact factor: 11.117

10.  Blood-Bourne MicroRNA Biomarker Evaluation in Attention-Deficit/Hyperactivity Disorder of Han Chinese Individuals: An Exploratory Study.

Authors:  Liang-Jen Wang; Sung-Chou Li; Min-Jing Lee; Miao-Chun Chou; Wen-Jiun Chou; Sheng-Yu Lee; Chih-Wei Hsu; Lien-Hung Huang; Ho-Chang Kuo
Journal:  Front Psychiatry       Date:  2018-05-29       Impact factor: 4.157

  10 in total

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