Literature DB >> 26972588

The genetics of drug efficacy: opportunities and challenges.

Matthew R Nelson1, Toby Johnson2, Liling Warren3,4, Arlene R Hughes5, Stephanie L Chissoe6, Chun-Fang Xu2, Dawn M Waterworth1.   

Abstract

Lack of sufficient efficacy is the most common cause of attrition in late-phase drug development. It has long been envisioned that genetics could drive stratified drug development by identifying those patient subgroups that are most likely to respond. However, this vision has not been realized as only a small proportion of drugs have been found to have germline genetic predictors of efficacy with clinically meaningful effects, and so far all but one were found after drug approval. With the exception of oncology, systematic application of efficacy pharmacogenetics has not been integrated into drug discovery and development across the industry. Here, we argue for routine, early and cumulative screening for genetic predictors of efficacy, as an integrated component of clinical trial analysis. Such a strategy would identify clinically relevant predictors that may exist at the earliest possible opportunity, allow these predictors to be integrated into subsequent clinical development and provide mechanistic insights into drug disposition and patient-specific factors that influence response, therefore paving the way towards more personalized medicine.

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Year:  2016        PMID: 26972588     DOI: 10.1038/nrg.2016.12

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  81 in total

1.  Comprehensive analysis of kinase inhibitor selectivity.

Authors:  Mindy I Davis; Jeremy P Hunt; Sanna Herrgard; Pietro Ciceri; Lisa M Wodicka; Gabriel Pallares; Michael Hocker; Daniel K Treiber; Patrick P Zarrinkar
Journal:  Nat Biotechnol       Date:  2011-10-30       Impact factor: 54.908

2.  To replicate or not to replicate: the case of pharmacogenetic studies: Have pharmacogenomics failed, or do they just need larger-scale evidence and more replication?

Authors:  John P A Ioannidis
Journal:  Circ Cardiovasc Genet       Date:  2013-08

Review 3.  Predicting drug metabolism: experiment and/or computation?

Authors:  Johannes Kirchmair; Andreas H Göller; Dieter Lang; Jens Kunze; Bernard Testa; Ian D Wilson; Robert C Glen; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2015-04-24       Impact factor: 84.694

4.  The effect of loss of Brca1 on the sensitivity to anticancer agents in p53-deficient cells.

Authors:  André Fedier; Rolf A Steiner; Viola A Schwarz; Lenka Lenherr; Urs Haller; Daniel Fink
Journal:  Int J Oncol       Date:  2003-05       Impact factor: 5.650

5.  High-resolution multipoint linkage-disequilibrium mapping in the context of a human genome sequence.

Authors:  B Rannala; J P Reeve
Journal:  Am J Hum Genet       Date:  2001-06-15       Impact factor: 11.025

6.  Sort1, encoded by the cardiovascular risk locus 1p13.3, is a regulator of hepatic lipoprotein export.

Authors:  Mads Kjolby; Olav M Andersen; Tilman Breiderhoff; Anja W Fjorback; Karen Marie Pedersen; Peder Madsen; Pernille Jansen; Joerg Heeren; Thomas E Willnow; Anders Nykjaer
Journal:  Cell Metab       Date:  2010-09-08       Impact factor: 27.287

Review 7.  Genetic basis of drug metabolism.

Authors:  Margaret K Ma; Michael H Woo; Howard L McLeod
Journal:  Am J Health Syst Pharm       Date:  2002-11-01       Impact factor: 2.637

8.  BRCA mutation frequency and patterns of treatment response in BRCA mutation-positive women with ovarian cancer: a report from the Australian Ovarian Cancer Study Group.

Authors:  Kathryn Alsop; Sian Fereday; Cliff Meldrum; Anna deFazio; Catherine Emmanuel; Joshy George; Alexander Dobrovic; Michael J Birrer; Penelope M Webb; Colin Stewart; Michael Friedlander; Stephen Fox; David Bowtell; Gillian Mitchell
Journal:  J Clin Oncol       Date:  2012-06-18       Impact factor: 44.544

9.  Characterization of statin dose response in electronic medical records.

Authors:  W-Q Wei; Q Feng; L Jiang; M S Waitara; O F Iwuchukwu; D M Roden; M Jiang; H Xu; R M Krauss; J I Rotter; D A Nickerson; R L Davis; R L Berg; P L Peissig; C A McCarty; R A Wilke; J C Denny
Journal:  Clin Pharmacol Ther       Date:  2013-10-04       Impact factor: 6.875

Review 10.  Quantitative serum nuclear magnetic resonance metabolomics in cardiovascular epidemiology and genetics.

Authors:  Pasi Soininen; Antti J Kangas; Peter Würtz; Teemu Suna; Mika Ala-Korpela
Journal:  Circ Cardiovasc Genet       Date:  2015-02
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  47 in total

1.  Pharmacogenomics Education Improves Pharmacy Student Perceptions of Their Abilities and Roles in Its Use.

Authors:  Rebecca Marcinak; Meaghan Paris; Shannon R M Kinney
Journal:  Am J Pharm Educ       Date:  2018-11       Impact factor: 2.047

Review 2.  Precision reproductive medicine: multigene panel testing for infertility risk assessment.

Authors:  Stephen C Collins
Journal:  J Assist Reprod Genet       Date:  2017-05-03       Impact factor: 3.412

3.  Regulostat Inferelator: a novel network biology platform to uncover molecular devices that predetermine cellular response phenotypes.

Authors:  Choong Yong Ung; Mehrab Ghanat Bari; Cheng Zhang; Jingjing Liang; Cristina Correia; Hu Li
Journal:  Nucleic Acids Res       Date:  2019-08-22       Impact factor: 16.971

Review 4.  Applications of pharmacogenomics in regulatory science: a product life cycle review.

Authors:  W C Tan-Koi; P C Leow; Y Y Teo
Journal:  Pharmacogenomics J       Date:  2017-12-05       Impact factor: 3.550

5.  An isogenic hiPSC-derived BBB-on-a-chip.

Authors:  Pedram Motallebnejad; Andrew Thomas; Sarah L Swisher; Samira M Azarin
Journal:  Biomicrofluidics       Date:  2019-11-22       Impact factor: 2.800

6.  Secure large-scale genome-wide association studies using homomorphic encryption.

Authors:  Marcelo Blatt; Alexander Gusev; Yuriy Polyakov; Shafi Goldwasser
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-12       Impact factor: 11.205

Review 7.  Genetics of coronary artery disease: discovery, biology and clinical translation.

Authors:  Amit V Khera; Sekar Kathiresan
Journal:  Nat Rev Genet       Date:  2017-03-13       Impact factor: 53.242

Review 8.  Genetics of primary sclerosing cholangitis and pathophysiological implications.

Authors:  Xiaojun Jiang; Tom H Karlsen
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2017-03-15       Impact factor: 46.802

Review 9.  The emerging science of precision medicine and pharmacogenomics for Parkinson's disease.

Authors:  Haydeh Payami
Journal:  Mov Disord       Date:  2017-07-07       Impact factor: 10.338

Review 10.  Redefining phenotypes to advance psychiatric genetics: Implications from hierarchical taxonomy of psychopathology.

Authors:  Monika A Waszczuk; Nicholas R Eaton; Robert F Krueger; Alexander J Shackman; Irwin D Waldman; David H Zald; Benjamin B Lahey; Christopher J Patrick; Christopher C Conway; Johan Ormel; Steven E Hyman; Eiko I Fried; Miriam K Forbes; Anna R Docherty; Robert R Althoff; Bo Bach; Michael Chmielewski; Colin G DeYoung; Kelsie T Forbush; Michael Hallquist; Christopher J Hopwood; Masha Y Ivanova; Katherine G Jonas; Robert D Latzman; Kristian E Markon; Stephanie N Mullins-Sweatt; Aaron L Pincus; Ulrich Reininghaus; Susan C South; Jennifer L Tackett; David Watson; Aidan G C Wright; Roman Kotov
Journal:  J Abnorm Psychol       Date:  2019-12-05
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