Skip Navigation


American Journal of Epidemiology Advance Access originally published online on September 8, 2008
American Journal of Epidemiology 2008 168(8):855-865; doi:10.1093/aje/kwn206
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow References
Right arrow All Versions of this Article:
168/8/855    most recent
kwn206v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Kavvoura, F. K.
Right arrow Articles by Ioannidis, J. P. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kavvoura, F. K.
Right arrow Articles by Ioannidis, J. P. A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology © The Author 2008. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

Evaluation of the Potential Excess of Statistically Significant Findings in Published Genetic Association Studies: Application to Alzheimer's Disease

Fotini K. Kavvoura, Matthew B. McQueen, Muin J. Khoury, Rudolph E. Tanzi, Lars Bertram and John P. A. Ioannidis

Correspondence to Dr. John P. A. Ioannidis, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece (e-mail: jioannid{at}cc.uoi.gr).

Received for publication October 9, 2007. Accepted for publication June 12, 2008.

The authors evaluated whether there is an excess of statistically significant results in studies of genetic associations with Alzheimer's disease reflecting either between-study heterogeneity or bias. Among published articles on genetic associations entered into the comprehensive AlzGene database (www.alzgene.org) through January 31, 2007, 1,348 studies included in 175 meta-analyses with 3 or more studies each were analyzed. The number of observed studies (O) with statistically significant results (P = 0.05 threshold) was compared with the expected number (E) under different assumptions for the magnitude of the effect size. In the main analysis, the plausible effect size of each association was the summary effect presented in the respective meta-analysis. Overall, 19 meta-analyses (all with eventually nonsignificant summary effects) had a documented excess of O over E: Typically single studies had significant effects pointing in opposite directions and early summary effects were dissipated over time. Across the whole domain, O was 235 (17.4%), while E was 164.8 (12.2%) (P < 10–6). The excess showed a predilection for meta-analyses with nonsignificant summary effects and between-study heterogeneity. The excess was seen for all levels of statistical significance and also for studies with borderline P values (P = 0.05–0.10). The excess of significant findings may represent significance-chasing biases in a setting of massive testing.

Alzheimer disease; bias (epidemiology); genetic markers; genetics; meta-analysis; publication bias


Abbreviations: ABCA, ATP-binding cassette transporter A; ACE, angiotensin-converting enzyme; APBB, amyloid beta (A4) precursor protein-binding family B; APOE, apolipoprotein E; BDNF, brain-derived neurotrophic factor; CTSD, cathepsin D; IL6, interleukin-6


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
ANN INTERN MEDHome page
J. B. Richards, F. K. Kavvoura, F. Rivadeneira, U. Styrkarsdottir, K. Estrada, B. V. Halldorsson, Y.-H. Hsu, M. C. Zillikens, S. G. Wilson, B. H. Mullin, et al.
Collaborative Meta-analysis: Associations of 150 Candidate Genes With Osteoporosis and Osteoporotic Fracture
Ann Intern Med, October 20, 2009; 151(8): 528 - 537.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
T. J. Jorgensen, I. Ruczinski, B. Kessing, M. W. Smith, Y. Y. Shugart, and A. J. Alberg
Hypothesis-Driven Candidate Gene Association Studies: Practical Design and Analytical Considerations
Am. J. Epidemiol., October 15, 2009; 170(8): 986 - 993.
[Abstract] [Full Text] [PDF]


Home page
CMAJHome page
J. P.A. Ioannidis
Integration of evidence from multiple meta-analyses: a primer on umbrella reviews, treatment networks and multiple treatments meta-analyses
Can. Med. Assoc. J., October 13, 2009; 181(8): 488 - 493.
[Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.