Literature DB >> 17620046

Recent development in pharmacogenomics: from candidate genes to genome-wide association studies.

Struan F A Grant1, Hakon Hakonarson.   

Abstract

Genetic diversity, most notably through single nucleotide polymorphisms and copy-number variation, together with specific environmental exposures, contributes to both disease susceptibility and drug response variability. It has proved difficult to isolate disease genes that confer susceptibility to complex disorders, and as a consequence, even fewer genetic variants that influence clinical drug responsiveness have been uncovered. As such, the candidate gene approach has largely failed to deliver and, although the family-based linkage approach has certain theoretical advantages in dealing with common/complex disorders, progress has been slower than was hoped. More recently, genome-wide association studies have gained increasing popularity, as they enable scientists to robustly associate specific variants with the predisposition for complex disease, such as age-related macular degeneration, Type 2 diabetes, inflammatory bowel disease, obesity, autism and leukemia. This relatively new methodology has stirred new hope for the mapping of genes that regulate drug response related to these conditions. Collectively, these studies support the notion that modern high-throughput single nucleotide polymorphism genotyping technologies, when applied to large and comprehensively phenotyped patient cohorts, will readily reveal the most clinically relevant disease-modifying and drug response genes. This review addresses both recent advances in the genotyping field and highlights from genome-wide association studies, which have conclusively uncovered variants that underlie disease susceptibility and/or variability in drug response in common disorders.

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Year:  2007        PMID: 17620046     DOI: 10.1586/14737159.7.4.371

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  12 in total

Review 1.  A HapMap harvest of insights into the genetics of common disease.

Authors:  Teri A Manolio; Lisa D Brooks; Francis S Collins
Journal:  J Clin Invest       Date:  2008-05       Impact factor: 14.808

2.  Characteristics of successful recruitment in prospective pediatric pharmacogenetic studies.

Authors:  Shannon N Saldaña; David K Hooper; Tanya E Froehlich; Kathleen M Campbell; Cynthia A Prows; Senthilkumar Sadhasivam; Todd G Nick; Michael Seid; Alexander A Vinks; Tracy A Glauser
Journal:  Clin Ther       Date:  2011-12-02       Impact factor: 3.393

3.  Considering hormone-sensitive cancers as a single disease in the UK biobank reveals shared aetiology.

Authors:  Muktar Ahmed; Ville-Petteri Mäkinen; Anwar Mulugeta; Jisu Shin; Terry Boyle; Elina Hyppönen; Sang Hong Lee
Journal:  Commun Biol       Date:  2022-06-21

4.  Thiopurine methyltransferase activity is related to the risk of relapse of childhood acute lymphoblastic leukemia: results from the NOPHO ALL-92 study.

Authors:  K Schmiegelow; E Forestier; J Kristinsson; S Söderhäll; K Vettenranta; R Weinshilboum; F Wesenberg
Journal:  Leukemia       Date:  2008-11-06       Impact factor: 11.528

Review 5.  The plasma proteome, adductome and idiosyncratic toxicity in toxicoproteomics research.

Authors:  B Alex Merrick
Journal:  Brief Funct Genomic Proteomic       Date:  2008-02-12

6.  Generating genome-scale candidate gene lists for pharmacogenomics.

Authors:  N T Hansen; S Brunak; R B Altman
Journal:  Clin Pharmacol Ther       Date:  2009-04-15       Impact factor: 6.875

7.  A new way to protect privacy in large-scale genome-wide association studies.

Authors:  Liina Kamm; Dan Bogdanov; Sven Laur; Jaak Vilo
Journal:  Bioinformatics       Date:  2013-02-14       Impact factor: 6.937

8.  CD6 and syntaxin binding protein 6 variants and response to tumor necrosis factor alpha inhibitors in Danish patients with rheumatoid arthritis.

Authors:  Sophine B Krintel; Laurent Essioux; Assaf Wool; Julia S Johansen; Ehud Schreiber; Tomer Zekharya; Pinchas Akiva; Mikkel Ostergaard; Merete L Hetland
Journal:  PLoS One       Date:  2012-06-07       Impact factor: 3.240

9.  Using expression and genotype to predict drug response in yeast.

Authors:  Douglas M Ruderfer; David C Roberts; Stuart L Schreiber; Ethan O Perlstein; Leonid Kruglyak
Journal:  PLoS One       Date:  2009-09-04       Impact factor: 3.240

Review 10.  Genetic Variations in Vesicoureteral Reflux Sequelae.

Authors:  David S Hains; Andrew L Schwaderer
Journal:  Pathogens       Date:  2016-02-02
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