Literature DB >> 23188748

Pharmacogenomics discovery and implementation in genome-wide association studies era.

Xiuqin Ni1, Wei Zhang, R Stephanie Huang.   

Abstract

Clinical response to therapeutic treatments often varies among individual patients, ranging from beneficial effect to even fatal adverse reaction. Pharmacogenomics holds the promise of personalized medicine through elucidating genetic determinants responsible for pharmacological outcomes (e.g., cytotoxicities to anticancer drugs) and therefore guide the prescription decision prior to drug treatment. Besides traditional candidate gene-based approaches, technical advances have begun to allow application of whole-genome approaches to pharmacogenomic discovery. In particular, comprehensive understanding of human genetic variation provides the basis for applying GWAS (genome-wide association studies) in pharmacogenomic research to identify genomic loci associated with pharmacological phenotypes (e.g., individual dose requirement for warfarin). We therefore briefly reviewed the background for pharmacogenetic/pharmacogenomic research with statins and warfarin as examples for the GWAS discovery and their clinical implementation. In conclusion, with some challenges, whole-genome approaches such as GWAS have allowed unprecedented progress in identifying genetic variants associated with pharmacological phenotypes, as well as provided foundation for the next wave of pharmacogenomic discovery utilizing sequencing-based approaches. Furthermore, investigation of the complex interactions among genetic and epigenetic factors on the whole-genome scale will become the post-GWAS research focus for pharmacologic complex traits.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 23188748      PMCID: PMC3527666          DOI: 10.1002/wsbm.1199

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  68 in total

1.  Practical recommendations for pharmacogenomics-based prescription: 2010 ESF-UB Conference on Pharmacogenetics and Pharmacogenomics.

Authors:  Laurent Becquemont; Ana Alfirevic; Ursula Amstutz; Hiltrud Brauch; Evelyne Jacqz-Aigrain; Pierre Laurent-Puig; Miguel A Molina; Mikko Niemi; Matthias Schwab; Andrew A Somogyi; Eric Thervet; Anke-Hilse Maitland-van der Zee; André Bp van Kuilenburg; Ron Hn van Schaik; Céline Verstuyft; Mia Wadelius; Ann K Daly
Journal:  Pharmacogenomics       Date:  2011-01       Impact factor: 2.533

2.  Genome-wide association study on overall survival of advanced non-small cell lung cancer patients treated with carboplatin and paclitaxel.

Authors:  Yasunori Sato; Noboru Yamamoto; Hideo Kunitoh; Yuichiro Ohe; Hironobu Minami; Nan M Laird; Noriko Katori; Yoshiro Saito; Sumiko Ohnami; Hiromi Sakamoto; Jun-Ichi Sawada; Nagahiro Saijo; Teruhiko Yoshida; Tomohide Tamura
Journal:  J Thorac Oncol       Date:  2011-01       Impact factor: 15.609

3.  National estimates of emergency department visits for hemorrhage-related adverse events from clopidogrel plus aspirin and from warfarin.

Authors:  Nadine Shehab; Laurence S Sperling; Scott R Kegler; Daniel S Budnitz
Journal:  Arch Intern Med       Date:  2010-11-22

4.  Evaluation of genetic variation contributing to differences in gene expression between populations.

Authors:  Wei Zhang; Shiwei Duan; Emily O Kistner; Wasim K Bleibel; R Stephanie Huang; Tyson A Clark; Tina X Chen; Anthony C Schweitzer; John E Blume; Nancy J Cox; M Eileen Dolan
Journal:  Am J Hum Genet       Date:  2008-02-28       Impact factor: 11.025

5.  Genetic architecture of transcript-level variation in humans.

Authors:  Shiwei Duan; R Stephanie Huang; Wei Zhang; Wasim K Bleibel; Cheryl A Roe; Tyson A Clark; Tina X Chen; Anthony C Schweitzer; John E Blume; Nancy J Cox; M Eileen Dolan
Journal:  Am J Hum Genet       Date:  2008-04-24       Impact factor: 11.025

Review 6.  Pharmacogenetics and pharmacogenomics of anticancer agents.

Authors:  R Stephanie Huang; Mark J Ratain
Journal:  CA Cancer J Clin       Date:  2009 Jan-Feb       Impact factor: 508.702

7.  Genome-wide pharmacogenomic analysis of response to treatment with antipsychotics.

Authors:  J L McClay; D E Adkins; K Aberg; S Stroup; D O Perkins; V I Vladimirov; J A Lieberman; P F Sullivan; E J C G van den Oord
Journal:  Mol Psychiatry       Date:  2009-09-01       Impact factor: 15.992

8.  Genome-wide association scan identifies candidate polymorphisms associated with differential response to anti-TNF treatment in rheumatoid arthritis.

Authors:  Chunyu Liu; Franak Batliwalla; Wentian Li; Annette Lee; Ronenn Roubenoff; Evan Beckman; Houman Khalili; Aarti Damle; Marlena Kern; Richard Furie; Josée Dupuis; Robert M Plenge; Marieke J H Coenen; Timothy W Behrens; John P Carulli; Peter K Gregersen
Journal:  Mol Med       Date:  2008 Sep-Oct       Impact factor: 6.354

Review 9.  Pharmacogenetics of warfarin: regulatory, scientific, and clinical issues.

Authors:  Brian F Gage; Lawrence J Lesko
Journal:  J Thromb Thrombolysis       Date:  2007-10-01       Impact factor: 2.300

10.  Estimation of the warfarin dose with clinical and pharmacogenetic data.

Authors:  T E Klein; R B Altman; N Eriksson; B F Gage; S E Kimmel; M-T M Lee; N A Limdi; D Page; D M Roden; M J Wagner; M D Caldwell; J A Johnson
Journal:  N Engl J Med       Date:  2009-02-19       Impact factor: 91.245

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  5 in total

1.  The role of pharmacogenomic biomarkers in predicting and improving drug response: part 2: challenges impeding clinical implementation.

Authors:  C Lee Ventola
Journal:  P T       Date:  2013-10

2.  Role of pharmacogenomic biomarkers in predicting and improving drug response: part 1: the clinical significance of pharmacogenetic variants.

Authors:  C Lee Ventola
Journal:  P T       Date:  2013-09

3.  Association between VKORC1 gene polymorphism and warfarin dose requirement and frequency of VKORC1 gene polymorphism in patients from Kerman province.

Authors:  Mohammad Javad Soltani Banavandi; Naghmeh Satarzadeh
Journal:  Pharmacogenomics J       Date:  2020-01-06       Impact factor: 3.550

4.  Genetic screening reveals a link between Wnt signaling and antitubulin drugs.

Authors:  A H Khan; J S Bloom; E Faridmoayer; D J Smith
Journal:  Pharmacogenomics J       Date:  2015-07-07       Impact factor: 3.550

5.  Organotypic three-dimensional cancer cell cultures mirror drug responses in vivo: lessons learned from the inhibition of EGFR signaling.

Authors:  Nico Jacobi; Rita Seeboeck; Elisabeth Hofmann; Helmut Schweiger; Veronika Smolinska; Thomas Mohr; Alexandra Boyer; Wolfgang Sommergruber; Peter Lechner; Corina Pichler-Huebschmann; Kamil Önder; Harald Hundsberger; Christoph Wiesner; Andreas Eger
Journal:  Oncotarget       Date:  2017-11-17
  5 in total

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