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Assessing the quality of published genetic association studies in meta-analyses: the quality of genetic studies (Q-Genie) tool.
- Source :
- BMC Genetics; 2015, Vol. 16 Issue 1, p1-8, 8p
- Publication Year :
- 2015
-
Abstract
- Background: Advances in genomics technology have led to a dramatic increase in the number of published genetic association studies. Systematic reviews and meta-analyses are a common method of synthesizing findings and providing reliable estimates of the effect of a genetic variant on a trait of interest. However, summary estimates are subject to bias due to the varying methodological quality of individual studies. We embarked on an effort to develop and evaluate a tool that assesses the quality of published genetic association studies. Performance characteristics (i.e. validity, reliability, and item discrimination) were evaluated using a sample of thirty studies randomly selected from a previously conducted systematic review. Results: The tool demonstrates excellent psychometric properties and generates a quality score for each study with corresponding ratings of 'low', 'moderate', or 'high' quality. We applied our tool to a published systematic review to exclude studies of low quality, and found a decrease in heterogeneity and an increase in precision of summary estimates. Conclusion: This tool can be used in systematic reviews to inform the selection of studies for inclusion, to conduct sensitivity analyses, and to perform meta-regressions. [ABSTRACT FROM AUTHOR]
- Subjects :
- GENE expression
GENETIC regulation
PSYCHOMETRICS
REGRESSION analysis
GENOMICS
Subjects
Details
- Language :
- English
- ISSN :
- 14712156
- Volume :
- 16
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- BMC Genetics
- Publication Type :
- Academic Journal
- Accession number :
- 102991390
- Full Text :
- https://doi.org/10.1186/s12863-015-0211-2