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Assessment of systematic effects of methodological characteristics on candidate genetic associations
Authors:Badr Aljasir  John P. A. Ioannidis  Alex Yurkiewich  David Moher  Julian P. T. Higgins  Paul Arora  Julian Little
Affiliation:1. Department of Epidemiology and Community Medicine, University of Ottawa, 451 Smth Road, Ottawa, ON, K1H 8M5, Canada
2. National Guard Health Affairs, Western Region, Jeddah, Saudi Arabia
3. Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
4. Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA
5. Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA
6. Ottawa Hospital Research Institute, Ottawa, ON, Canada
7. MRC Biostatistics Unit, Cambridge, UK
8. Office for Biotechnology, Genomics and Population Health, Public Health Agency of Canada, Toronto, ON, Canada
Abstract:Candidate genetic association studies have been found to have a low replication rate in the past. Here, we aimed to assess whether aspects of reported methodological characteristics in genetic association studies may be related to the magnitude of effects observed. An observational, literature-based investigation of 511 case–control studies of genetic association studies indexed in 2007, was undertaken. Meta-regression analyses were used to assess the relationship between 23 reported methodological characteristics and the magnitude of genetic associations. The 511 studies had been conducted in 52 countries and were published in 220 journals (median impact factor 5.1). The multivariate meta-regression model of methodological characteristics plus disease category accounted for 17.2 % of the between-study variance in the magnitude of the reported genetic associations. Our findings are consistent with the view that better conducted and better reported genetic association research may lead to less inflated results.
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