Literature DB >> 19524701

Criteria for the selection of single nucleotide polymorphisms in pathway pharmacogenetics: TNF inhibitors as a case study.

Wouter M Kooloos1, Judith A M Wessels, Tahar van der Straaten, Tom W J Huizinga, Henk-Jan Guchelaar.   

Abstract

Pharmacogenetics aims to identify genetic variation to predict drug response or to establish an individual optimal dose. Classically, explorative pharmacogenetic studies are performed concerning a limited number of SNPs in genes encoding enzymes involved in the drug's metabolic route. Alternatively, potential markers across the genome are elucidated by the performance of the hypothesis-free genome-wide method. Besides their successful use, both methods provide substantial disadvantages. A solution toward these difficulties is the pathway pharmacogenetic approach, which considers variability in the entire pathway without restricting the analysis to only one gene. In this article, we present selection criteria for this approach to effectively explore potential associating SNPs. As an illustration, the method is applied to the biological adalimumab as a case study.

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Year:  2009        PMID: 19524701     DOI: 10.1016/j.drudis.2009.05.017

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  2 in total

1.  A longitudinal genome-wide association study of anti-tumor necrosis factor response among Japanese patients with rheumatoid arthritis.

Authors:  Kyoko Honne; Ingileif Hallgrímsdóttir; Chunsen Wu; Ronnie Sebro; Nicholas P Jewell; Takeo Sakurai; Masahiro Iwamoto; Seiji Minota; Damini Jawaheer
Journal:  Arthritis Res Ther       Date:  2016-01-18       Impact factor: 5.156

2.  Polymorphisms in mTOR and Calcineurin Signaling Pathways Are Associated With Long-Term Clinical Outcomes in Kidney Transplant Recipients.

Authors:  Antony Brayan Campos-Salazar; Fabiana Dalla Vecchia Genvigir; Claudia Rosso Felipe; Helio Tedesco-Silva; José Medina-Pestana; Gabriela Vieira Monteiro; Rodrigo de Gouveia Basso; Alvaro Cerda; Mario Hiroyuki Hirata; Rosario Dominguez Crespo Hirata
Journal:  Front Pharmacol       Date:  2018-11-14       Impact factor: 5.810

  2 in total

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