Literature DB >> 18587383

Creating and evaluating genetic tests predictive of drug response.

Scott T Weiss1, Howard L McLeod, David A Flockhart, M Eileen Dolan, Neal L Benowitz, Julie A Johnson, Mark J Ratain, Kathleen M Giacomini.   

Abstract

A key goal of pharmacogenetics--the use of genetic variation to elucidate inter-individual variation in drug treatment response--is to aid the development of predictive genetic tests that could maximize drug efficacy and minimize drug toxicity. The completion of the Human Genome Project and the associated HapMap Project, together with advances in technologies for investigating genetic variation, have greatly advanced the potential to develop such tests; however, many challenges remain. With the aim of helping to address some of these challenges, this article discusses the steps that are involved in the development of predictive tests for drug treatment response based on genetic variation, and factors that influence the development and performance of these tests.

Entities:  

Mesh:

Year:  2008        PMID: 18587383      PMCID: PMC2682785          DOI: 10.1038/nrd2520

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   84.694


  31 in total

1.  Initial sequencing and analysis of the human genome.

Authors:  E S Lander; L M Linton; B Birren; C Nusbaum; M C Zody; J Baldwin; K Devon; K Dewar; M Doyle; W FitzHugh; R Funke; D Gage; K Harris; A Heaford; J Howland; L Kann; J Lehoczky; R LeVine; P McEwan; K McKernan; J Meldrim; J P Mesirov; C Miranda; W Morris; J Naylor; C Raymond; M Rosetti; R Santos; A Sheridan; C Sougnez; Y Stange-Thomann; N Stojanovic; A Subramanian; D Wyman; J Rogers; J Sulston; R Ainscough; S Beck; D Bentley; J Burton; C Clee; N Carter; A Coulson; R Deadman; P Deloukas; A Dunham; I Dunham; R Durbin; L French; D Grafham; S Gregory; T Hubbard; S Humphray; A Hunt; M Jones; C Lloyd; A McMurray; L Matthews; S Mercer; S Milne; J C Mullikin; A Mungall; R Plumb; M Ross; R Shownkeen; S Sims; R H Waterston; R K Wilson; L W Hillier; J D McPherson; M A Marra; E R Mardis; L A Fulton; A T Chinwalla; K H Pepin; W R Gish; S L Chissoe; M C Wendl; K D Delehaunty; T L Miner; A Delehaunty; J B Kramer; L L Cook; R S Fulton; D L Johnson; P J Minx; S W Clifton; T Hawkins; E Branscomb; P Predki; P Richardson; S Wenning; T Slezak; N Doggett; J F Cheng; A Olsen; S Lucas; C Elkin; E Uberbacher; M Frazier; R A Gibbs; D M Muzny; S E Scherer; J B Bouck; E J Sodergren; K C Worley; C M Rives; J H Gorrell; M L Metzker; S L Naylor; R S Kucherlapati; D L Nelson; G M Weinstock; Y Sakaki; A Fujiyama; M Hattori; T Yada; A Toyoda; T Itoh; C Kawagoe; H Watanabe; Y Totoki; T Taylor; J Weissenbach; R Heilig; W Saurin; F Artiguenave; P Brottier; T Bruls; E Pelletier; C Robert; P Wincker; D R Smith; L Doucette-Stamm; M Rubenfield; K Weinstock; H M Lee; J Dubois; A Rosenthal; M Platzer; G Nyakatura; S Taudien; A Rump; H Yang; J Yu; J Wang; G Huang; J Gu; L Hood; L Rowen; A Madan; S Qin; R W Davis; N A Federspiel; A P Abola; M J Proctor; R M Myers; J Schmutz; M Dickson; J Grimwood; D R Cox; M V Olson; R Kaul; C Raymond; N Shimizu; K Kawasaki; S Minoshima; G A Evans; M Athanasiou; R Schultz; B A Roe; F Chen; H Pan; J Ramser; H Lehrach; R Reinhardt; W R McCombie; M de la Bastide; N Dedhia; H Blöcker; K Hornischer; G Nordsiek; R Agarwala; L Aravind; J A Bailey; A Bateman; S Batzoglou; E Birney; P Bork; D G Brown; C B Burge; L Cerutti; H C Chen; D Church; M Clamp; R R Copley; T Doerks; S R Eddy; E E Eichler; T S Furey; J Galagan; J G Gilbert; C Harmon; Y Hayashizaki; D Haussler; H Hermjakob; K Hokamp; W Jang; L S Johnson; T A Jones; S Kasif; A Kaspryzk; S Kennedy; W J Kent; P Kitts; E V Koonin; I Korf; D Kulp; D Lancet; T M Lowe; A McLysaght; T Mikkelsen; J V Moran; N Mulder; V J Pollara; C P Ponting; G Schuler; J Schultz; G Slater; A F Smit; E Stupka; J Szustakowki; D Thierry-Mieg; J Thierry-Mieg; L Wagner; J Wallis; R Wheeler; A Williams; Y I Wolf; K H Wolfe; S P Yang; R F Yeh; F Collins; M S Guyer; J Peterson; A Felsenfeld; K A Wetterstrand; A Patrinos; M J Morgan; P de Jong; J J Catanese; K Osoegawa; H Shizuya; S Choi; Y J Chen; J Szustakowki
Journal:  Nature       Date:  2001-02-15       Impact factor: 49.962

2.  Pharmacogenetics and pharmacogenomics in drug development and regulatory decision making: report of the first FDA-PWG-PhRMA-DruSafe Workshop.

Authors:  Lawrence J Lesko; Ronald A Salerno; Brian B Spear; Donald C Anderson; Timothy Anderson; Celia Brazell; Jerry Collins; Andrew Dorner; David Essayan; Baltazar Gomez-Mancilla; Joseph Hackett; Shiew-Mei Huang; Susan Ide; Joanne Killinger; John Leighton; Elizabeth Mansfield; Robert Meyer; Stephen G Ryan; Virginia Schmith; Peter Shaw; Frank Sistare; Mark Watson; Alexandra Worobec
Journal:  J Clin Pharmacol       Date:  2003-04       Impact factor: 3.126

3.  Mercaptopurine therapy intolerance and heterozygosity at the thiopurine S-methyltransferase gene locus.

Authors:  M V Relling; M L Hancock; G K Rivera; J T Sandlund; R C Ribeiro; E Y Krynetski; C H Pui; W E Evans
Journal:  J Natl Cancer Inst       Date:  1999-12-01       Impact factor: 13.506

4.  Association between CYP2C9 genetic variants and anticoagulation-related outcomes during warfarin therapy.

Authors:  Mitchell K Higashi; David L Veenstra; L Midori Kondo; Ann K Wittkowsky; Sengkeo L Srinouanprachanh; Fred M Farin; Allan E Rettie
Journal:  JAMA       Date:  2002-04-03       Impact factor: 56.272

Review 5.  Clinical significance of the cytochrome P450 2C19 genetic polymorphism.

Authors:  Zeruesenay Desta; Xiaojiong Zhao; Jae-Gook Shin; David A Flockhart
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

6.  Genotyping for polymorphic drug metabolizing enzymes from paraffin-embedded and immunohistochemically stained tumor samples.

Authors:  James M Rae; Kevin E Cordero; Joshua O Scheys; Marc E Lippman; David A Flockhart; Michael D Johnson
Journal:  Pharmacogenetics       Date:  2003-08

7.  Comprehensive analysis of thiopurine S-methyltransferase phenotype-genotype correlation in a large population of German-Caucasians and identification of novel TPMT variants.

Authors:  Elke Schaeffeler; Christine Fischer; Dierk Brockmeier; Dorothee Wernet; Klaus Moerike; Michel Eichelbaum; Ulrich M Zanger; Matthias Schwab
Journal:  Pharmacogenetics       Date:  2004-07

8.  Corticosteroid pharmacogenetics: association of sequence variants in CRHR1 with improved lung function in asthmatics treated with inhaled corticosteroids.

Authors:  Kelan G Tantisira; Stephen Lake; Eric S Silverman; Lyle J Palmer; Ross Lazarus; Edwin K Silverman; Stephen B Liggett; Erwin W Gelfand; Lanny J Rosenwasser; Brent Richter; Elliot Israel; Michael Wechsler; Stacey Gabriel; David Altshuler; Eric Lander; Jeffrey Drazen; Scott T Weiss
Journal:  Hum Mol Genet       Date:  2004-05-05       Impact factor: 6.150

9.  HLA-B*5701 screening for hypersensitivity to abacavir.

Authors:  Simon Mallal; Elizabeth Phillips; Giampiero Carosi; Jean-Michel Molina; Cassy Workman; Janez Tomazic; Eva Jägel-Guedes; Sorin Rugina; Oleg Kozyrev; Juan Flores Cid; Phillip Hay; David Nolan; Sara Hughes; Arlene Hughes; Susanna Ryan; Nicholas Fitch; Daren Thorborn; Alastair Benbow
Journal:  N Engl J Med       Date:  2008-02-07       Impact factor: 91.245

Review 10.  Cancer pharmacogenetics.

Authors:  S Marsh; H L McLeod
Journal:  Br J Cancer       Date:  2004-01-12       Impact factor: 7.640

View more
  19 in total

1.  A knowledge-driven conditional approach to extract pharmacogenomics specific drug-gene relationships from free text.

Authors:  Rong Xu; Quanqiu Wang
Journal:  J Biomed Inform       Date:  2012-04-27       Impact factor: 6.317

2.  A semi-supervised approach to extract pharmacogenomics-specific drug-gene pairs from biomedical literature for personalized medicine.

Authors:  Rong Xu; Quanqiu Wang
Journal:  J Biomed Inform       Date:  2013-04-06       Impact factor: 6.317

Review 3.  Systems biology and functional genomics approaches for the identification of cellular responses to drug toxicity.

Authors:  Alison Hege Harrill; Ivan Rusyn
Journal:  Expert Opin Drug Metab Toxicol       Date:  2008-11       Impact factor: 4.481

4.  Improving the prediction of pharmacogenes using text-derived drug-gene relationships.

Authors:  Yael Garten; Nicholas P Tatonetti; Russ B Altman
Journal:  Pac Symp Biocomput       Date:  2010

5.  An iterative searching and ranking algorithm for prioritising pharmacogenomics genes.

Authors:  Rong Xu; Quanqiu Wang
Journal:  Int J Comput Biol Drug Des       Date:  2013-02-21

Review 6.  Is the use of sentient animals in basic research justifiable?

Authors:  Ray Greek; Jean Greek
Journal:  Philos Ethics Humanit Med       Date:  2010-09-08       Impact factor: 2.464

7.  Population-based discovery of toxicogenomics biomarkers for hepatotoxicity using a laboratory strain diversity panel.

Authors:  Alison H Harrill; Pamela K Ross; Daniel M Gatti; David W Threadgill; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2009-05-06       Impact factor: 4.849

Review 8.  Is personalized medicine achievable in obstetrics?

Authors:  Sara K Quinney; Avinash S Patil; David A Flockhart
Journal:  Semin Perinatol       Date:  2014-10-03       Impact factor: 3.300

9.  IL28B is associated with response to chronic hepatitis C interferon-alpha and ribavirin therapy.

Authors:  Vijayaprakash Suppiah; Max Moldovan; Golo Ahlenstiel; Thomas Berg; Martin Weltman; Maria Lorena Abate; Margaret Bassendine; Ulrich Spengler; Gregory J Dore; Elizabeth Powell; Stephen Riordan; David Sheridan; Antonina Smedile; Vincenzo Fragomeli; Tobias Müller; Melanie Bahlo; Graeme J Stewart; David R Booth; Jacob George
Journal:  Nat Genet       Date:  2009-09-13       Impact factor: 38.330

10.  Development of a Pharmacogenetic Predictive Test in asthma: proof of concept.

Authors:  Ann Chen Wu; Blanca E Himes; Jessica Lasky-Su; Augusto Litonjua; Lingling Li; Christoph Lange; John Lima; Charles G Irvin; Scott T Weiss
Journal:  Pharmacogenet Genomics       Date:  2010-02       Impact factor: 2.089

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.