Literature DB >> 19141767

How to use an article about genetic association: B: Are the results of the study valid?

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 article of this series, we reviewed the basic genetics concepts necessary to understand genetic association studies. In this second article, we enumerate the major issues in judging the validity of these studies, framed as critical appraisal questions. Was the disease phenotype properly defined and accurately recorded by someone blind to the genetic information? Have any potential differences between disease and nondisease groups, particularly ethnicity, been properly addressed? In genetic studies, one potential cause of spurious associations is differences between cases and controls in ethnicity, a situation termed population stratification. Was measurement of the genetic variants unbiased and accurate? Methods for determining DNA sequence variation are not perfect and may have some measurement error. Do the genotype proportions observe Hardy-Weinberg equilibrium? This simple mathematic rule about the distribution of genetic groups may be one way to check for errors in reading DNA information. Have the investigators adjusted their inferences for multiple comparisons? Given the thousands of genetic markers tested in genome-wide association studies, the potential for false-positive and false-negative results is much higher than in traditional medical studies, and it is particularly important to look for replication of results.

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Year:  2009        PMID: 19141767     DOI: 10.1001/jama.2008.946

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


  42 in total

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

2.  Common polymorphisms in the NOD2 gene region are associated with leprosy and its reactive states.

Authors:  William Richard Berrington; Murdo Macdonald; Saraswoti Khadge; Bishwa Raj Sapkota; Marta Janer; Deanna Alisa Hagge; Gilla Kaplan; Thomas Richard Hawn
Journal:  J Infect Dis       Date:  2010-05-01       Impact factor: 5.226

3.  Genome-wide association studies: a primer.

Authors:  A Corvin; N Craddock; P F Sullivan
Journal:  Psychol Med       Date:  2009-11-09       Impact factor: 7.723

Review 4.  Genetic determinants of depression: recent findings and future directions.

Authors:  Erin C Dunn; Ruth C Brown; Yael Dai; Jonathan Rosand; Nicole R Nugent; Ananda B Amstadter; Jordan W Smoller
Journal:  Harv Rev Psychiatry       Date:  2015 Jan-Feb       Impact factor: 3.732

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

7.  Association between recipient TNF rs361525 and acute GVHD: results from analysis of BMT CTN-0201 samples.

Authors:  Armin Rashidi; Ryan Shanley; Sophia L Yohe; Bharat Thyagarajan; Julie Curtsinger; Claudio Anasetti; Edmund K Waller; Jeffrey S Miller; Bruce R Blazar; Daniel J Weisdorf
Journal:  Bone Marrow Transplant       Date:  2018-03-07       Impact factor: 5.483

Review 8.  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

Review 9.  Application of OMICS technologies in occupational and environmental health research; current status and projections.

Authors:  J Vlaanderen; L E Moore; M T Smith; Q Lan; L Zhang; C F Skibola; N Rothman; R Vermeulen
Journal:  Occup Environ Med       Date:  2009-11-20       Impact factor: 4.402

10.  Common genetic variation and the control of HIV-1 in humans.

Authors:  Jacques Fellay; Dongliang Ge; Kevin V Shianna; Sara Colombo; Bruno Ledergerber; Elizabeth T Cirulli; Thomas J Urban; Kunlin Zhang; Curtis E Gumbs; Jason P Smith; Antonella Castagna; Alessandro Cozzi-Lepri; Andrea De Luca; Philippa Easterbrook; Huldrych F Günthard; Simon Mallal; Cristina Mussini; Judith Dalmau; Javier Martinez-Picado; José M Miro; Niels Obel; Steven M Wolinsky; Jeremy J Martinson; Roger Detels; Joseph B Margolick; Lisa P Jacobson; Patrick Descombes; Stylianos E Antonarakis; Jacques S Beckmann; Stephen J O'Brien; Norman L Letvin; Andrew J McMichael; Barton F Haynes; Mary Carrington; Sheng Feng; Amalio Telenti; David B Goldstein
Journal:  PLoS Genet       Date:  2009-12-24       Impact factor: 5.917

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