Literature DB >> 22659199

Personalized medicine: hope or hype?

Keyan Salari1, Hugh Watkins, Euan A Ashley.   

Abstract

Medicine has always been personalized. For years, physicians have incorporated environmental, behavioural, and genetic factors that affect disease and drug response into patient management decisions. However, until recently, the 'genetic' data took the form of family history and self-reported race/ethnicity. As genome sequencing declines in cost, the availability of specific genomic information will no longer be limiting. Rather, our ability to parse these data and our decision whether to use it will become primary. As our understanding of genetic association with drug responses and diseases continues to improve, clinically useful genetic tests may emerge to improve upon our previous methods of assessing genetic risks. Indeed, genetic tests for monogenic disorders have already proven useful. Such changes may usher in a new era of personalized medicine. In this review, we will discuss the utility and limitations of personal genomic data in three domains: pharmacogenomics, assessment of genetic predispositions for common diseases, and identification of rare disease-causing genetic variants.

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Year:  2012        PMID: 22659199      PMCID: PMC3388016          DOI: 10.1093/eurheartj/ehs112

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  76 in total

1.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

Authors:  Lucia A Hindorff; Praveen Sethupathy; Heather A Junkins; Erin M Ramos; Jayashri P Mehta; Francis S Collins; Teri A Manolio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

2.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

3.  No impact of KIF6 genotype on vascular risk and statin response among 18,348 randomized patients in the heart protection study.

Authors:  Jemma C Hopewell; Sarah Parish; Robert Clarke; Jane Armitage; Louise Bowman; Jorg Hager; Mark Lathrop; Rory Collins
Journal:  J Am Coll Cardiol       Date:  2011-03-31       Impact factor: 24.094

4.  Use and misuse of the receiver operating characteristic curve in risk prediction.

Authors:  Nancy R Cook
Journal:  Circulation       Date:  2007-02-20       Impact factor: 29.690

5.  Likelihood ratios for genome medicine.

Authors:  Alexander A Morgan; Rong Chen; Atul J Butte
Journal:  Genome Med       Date:  2010-05-17       Impact factor: 11.117

6.  Human non-synonymous SNPs: server and survey.

Authors:  Vasily Ramensky; Peer Bork; Shamil Sunyaev
Journal:  Nucleic Acids Res       Date:  2002-09-01       Impact factor: 16.971

7.  Clopidogrel resistance is associated with increased risk of recurrent atherothrombotic events in patients with acute myocardial infarction.

Authors:  Shlomi Matetzky; Boris Shenkman; Victor Guetta; Michael Shechter; Roy Beinart; Roy Bienart; Ilan Goldenberg; Ilya Novikov; Hanna Pres; Naphtali Savion; David Varon; Hanoch Hod
Journal:  Circulation       Date:  2004-06-07       Impact factor: 29.690

8.  Synthetic associations created by rare variants do not explain most GWAS results.

Authors:  Naomi R Wray; Shaun M Purcell; Peter M Visscher
Journal:  PLoS Biol       Date:  2011-01-18       Impact factor: 8.029

9.  The diploid genome sequence of an individual human.

Authors:  Samuel Levy; Granger Sutton; Pauline C Ng; Lars Feuk; Aaron L Halpern; Brian P Walenz; Nelson Axelrod; Jiaqi Huang; Ewen F Kirkness; Gennady Denisov; Yuan Lin; Jeffrey R MacDonald; Andy Wing Chun Pang; Mary Shago; Timothy B Stockwell; Alexia Tsiamouri; Vineet Bafna; Vikas Bansal; Saul A Kravitz; Dana A Busam; Karen Y Beeson; Tina C McIntosh; Karin A Remington; Josep F Abril; John Gill; Jon Borman; Yu-Hui Rogers; Marvin E Frazier; Stephen W Scherer; Robert L Strausberg; J Craig Venter
Journal:  PLoS Biol       Date:  2007-09-04       Impact factor: 8.029

10.  The Human Gene Mutation Database: 2008 update.

Authors:  Peter D Stenson; Matthew Mort; Edward V Ball; Katy Howells; Andrew D Phillips; Nick St Thomas; David N Cooper
Journal:  Genome Med       Date:  2009-01-22       Impact factor: 11.117

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  19 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.  Pharmacogenetics: Chasing Perfection.

Authors:  Andrea Gaedigk
Journal:  Clin Pharmacol Ther       Date:  2019-08       Impact factor: 6.875

Review 4.  Comparison of delivery strategies for pharmacogenetic testing services.

Authors:  Susanne B Haga; Jivan Moaddeb
Journal:  Pharmacogenet Genomics       Date:  2014-03       Impact factor: 2.089

Review 5.  Pharmacogenetics of heart failure.

Authors:  Luisa Mestroni; Rene L Begay; Sharon L Graw; Matthew R G Taylor
Journal:  Curr Opin Cardiol       Date:  2014-05       Impact factor: 2.161

6.  Promoting Health Equity through De-Implementation Research.

Authors:  Christian D Helfrich; Christine W Hartmann; Toral J Parikh; David H Au
Journal:  Ethn Dis       Date:  2019-02-21       Impact factor: 1.847

Review 7.  How can polygenic inheritance be used in population screening for common diseases?

Authors:  Muin J Khoury; A Cecile J W Janssens; David F Ransohoff
Journal:  Genet Med       Date:  2013-02-14       Impact factor: 8.822

8.  Driving forces behind the past and future emergence of personalized medicine.

Authors:  Julius Alexander Steffen; Jan Simon Steffen
Journal:  J Pers Med       Date:  2013-01-17

9.  Value-based reimbursement decisions for orphan drugs: a scoping review and decision framework.

Authors:  Mike Paulden; Tania Stafinski; Devidas Menon; Christopher McCabe
Journal:  Pharmacoeconomics       Date:  2015-03       Impact factor: 4.981

10.  V101L of human formyl peptide receptor 1 (FPR1) increases receptor affinity and augments the antagonism mediated by cyclosporins.

Authors:  Caihong Zhou; Yan Zhou; Jia Wang; Yang Feng; Haonan Wang; Jinglun Xue; Yani Chen; Richard D Ye; Ming-Wei Wang
Journal:  Biochem J       Date:  2013-04-15       Impact factor: 3.857

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