Literature DB >> 20712531

Realities and expectations of pharmacogenomics and personalized medicine: impact of translating genetic knowledge into clinical practice.

Alessio Squassina1, Mirko Manchia, Vangelis G Manolopoulos, Mehmet Artac, Christina Lappa-Manakou, Sophia Karkabouna, Konstantinos Mitropoulos, Maria Del Zompo, George P Patrinos.   

Abstract

The implementation of genetic data for a better prediction of response to medications and adverse drug reactions is becoming a reality in some clinical fields. However, to be successful, personalized medicine should take advantage of an informational structured framework of genetic, phenotypic and environmental factors in order to provide the healthcare system with useful tools that can optimize the effectiveness of specific treatment. The impact of personalized medicine is potentially enormous, but the results that have so far been gathered are often difficult to translate into clinical practice. In this article we have summarized the most relevant applications of pharmacogenomics on diseases to which they have already been applied and fields in which they are currently emerging. The article provides an overview of the opportunities and shortcomings of the implementation of genetic information into personalized medicine and its full adoption in the clinic. In the second instance, it provides readers from different fields of expertise with an accessible interpretation to the barriers and opportunities in the use/adoption of pharmacogenomic testing between the different clinical areas.

Mesh:

Year:  2010        PMID: 20712531     DOI: 10.2217/pgs.10.97

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  27 in total

Review 1.  Personalized medicine: is it a pharmacogenetic mirage?

Authors:  Rashmi R Shah; Devron R Shah
Journal:  Br J Clin Pharmacol       Date:  2012-10       Impact factor: 4.335

2.  Pharmacogenomics in clinical practice: reality and expectations.

Authors:  C Lee Ventola
Journal:  P T       Date:  2011-07

Review 3.  Incorporating Pharmacogenomics into Health Information Technology, Electronic Health Record and Decision Support System: An Overview.

Authors:  Abdullah Alanazi
Journal:  J Med Syst       Date:  2016-12-17       Impact factor: 4.460

4.  Personalised medicine, disease prevention, and the inverse care law: more harm than benefit?

Authors:  Jack E James
Journal:  Eur J Epidemiol       Date:  2014-04-12       Impact factor: 8.082

5.  Genetic variability testing of neurodevelopmental genes in schizophrenic patients.

Authors:  Tea Terzić; Matej Kastelic; Vita Dolžan; Blanka Kores Plesničar
Journal:  J Mol Neurosci       Date:  2014-12-23       Impact factor: 3.444

6.  An inter-professional approach to personalized medicine education: one institution's experience.

Authors:  Christine M Formea; Wayne T Nicholson; Carolyn Rohrer Vitek
Journal:  Per Med       Date:  2015-03       Impact factor: 2.512

Review 7.  Rapid evidence review of the comparative effectiveness, harms, and cost-effectiveness of pharmacogenomics-guided antidepressant treatment versus usual care for major depressive disorder.

Authors:  Kimberly Peterson; Eric Dieperink; Johanna Anderson; Erin Boundy; Lauren Ferguson; Mark Helfand
Journal:  Psychopharmacology (Berl)       Date:  2017-04-29       Impact factor: 4.530

8.  Factors Associated with African-American Women's Decisions to Participate in Genetic Research.

Authors:  Carolyn H Still; Faye A Gary; Patricia E McDonald; Hossein N Yarandi
Journal:  J Natl Black Nurses Assoc       Date:  2014-07

Review 9.  Implementing genome-driven personalized cardiology in clinical practice.

Authors:  Ares Pasipoularides
Journal:  J Mol Cell Cardiol       Date:  2018-01-16       Impact factor: 5.000

10.  FINDbase: a worldwide database for genetic variation allele frequencies updated.

Authors:  Marianthi Georgitsi; Emmanouil Viennas; Dimitris I Antoniou; Vassiliki Gkantouna; Sjozef van Baal; Emanuel F Petricoin; Konstantinos Poulas; Giannis Tzimas; George P Patrinos
Journal:  Nucleic Acids Res       Date:  2010-11-27       Impact factor: 16.971

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