Literature DB >> 19155457

How to use an article about genetic association: C: What are the results and will they help me in caring for my patients?

John Attia1, John P A Ioannidis, Ammarin Thakkinstian, Mark McEvoy, Rodney J Scott, Cosetta Minelli, John Thompson, Claire Infante-Rivard, Gordon Guyatt.   

Abstract

In the first 2 articles of this series, we reviewed the basic genetics concepts necessary to understand genetic association studies, and we enumerated the major issues in judging the validity of these studies. In this third article, we review the issues relating to the applicability of the results in the clinical situation. How large and precise are the associations? Many genetic effects are expected to be smaller in magnitude than traditional risk factors. Does the genetic association improve predictive power beyond easily measured clinical variables? In some cases, the additional genetic information adds only a small increment in the predictive ability of a diagnostic or prognostic test. What are the absolute vs relative effects? Even if the genetic risk is high in relative terms, the baseline risk may be very low in absolute terms. Is the risk-associated allele likely to be present in my patient? A risk allele may have a strong effect but be rare in a particular ethnic group. Is the patient likely better off knowing the genetic information? Given that genes cannot be modified, one must weigh whether the genetic information is likely to be helpful in planning other health interventions or initiating behavior change.

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Year:  2009        PMID: 19155457     DOI: 10.1001/jama.2008.993

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  19 in total

1.  The prospect of genome-guided preventive medicine: a need and opportunity for genetic counselors.

Authors:  Julianne M O'Daniel
Journal:  J Genet Couns       Date:  2010-05-04       Impact factor: 2.537

Review 2.  Personalized medicine: understanding probabilities and managing expectations.

Authors:  Zachary Laksman; Allan S Detsky
Journal:  J Gen Intern Med       Date:  2010-09-28       Impact factor: 5.128

Review 3.  Genetic determinants of plasma triglycerides.

Authors:  Christopher T Johansen; Sekar Kathiresan; Robert A Hegele
Journal:  J Lipid Res       Date:  2010-11-01       Impact factor: 5.922

4.  Considerations for the impact of personal genome information: a study of genomic profiling among genetics and genomics professionals.

Authors:  Julianne M O'Daniel; Susanne B Haga; Huntington F Willard
Journal:  J Genet Couns       Date:  2010-03-30       Impact factor: 2.537

5.  Is your love in vain? On associations between genotypes, drug concentrations and clinical outcomes in pharmacogenomic research.

Authors:  Per Damkier
Journal:  Int J Clin Pharm       Date:  2015-07-17

Review 6.  Genetic psychophysiology: advances, problems, and future directions.

Authors:  Andrey P Anokhin
Journal:  Int J Psychophysiol       Date:  2014-04-13       Impact factor: 2.997

Review 7.  The evolution and refinement of traditional risk factors for cardiovascular disease.

Authors:  Emil M deGoma; Joshua W Knowles; Fabio Angeli; Matthew J Budoff; Daniel J Rader
Journal:  Cardiol Rev       Date:  2012 May-Jun       Impact factor: 2.644

Review 8.  Targeting inflammation to prevent bronchopulmonary dysplasia: can new insights be translated into therapies?

Authors:  Clyde J Wright; Haresh Kirpalani
Journal:  Pediatrics       Date:  2011-06-06       Impact factor: 7.124

9.  Misrepresentation and distortion of research in biomedical literature.

Authors:  Isabelle Boutron; Philippe Ravaud
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-13       Impact factor: 11.205

Review 10.  Understanding genetic epidemiologic association studies Part 1: fundamentals.

Authors:  Kaye M Reid-Lombardo; Gloria M Petersen
Journal:  Surgery       Date:  2009-12-03       Impact factor: 3.982

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