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A simulations approach for meta-analysis of genetic association studies based on additive genetic model
- Source :
- Meta Gene. 16:143-164
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Genetic association studies are becoming an important component of medical research. To cite one instance, pharmacogenomics which is gaining prominence as a useful tool for personalized medicine is heavily reliant on results from genetic association studies. Meta-analysis of genetic association studies is being increasingly used to assess phenotypic differences between genotype groups. When the underlying genetic model is assumed to be dominant or recessive, assessing the phenotype differences based on summary statistics, reported for individual studies in a meta-analysis, is a valid strategy. However, when the genetic model is additive, a similar strategy based on summary statistics will lead to biased results. This fact about the additive model is one of the things that we establish in this paper, using simulations. The main goal of this paper is to present an alternate strategy for the additive model based on simulating data for the individual studies. We show that the alternate strategy is far superior to the strategy based on summary statistics.
- Subjects :
- FOS: Computer and information sciences
030219 obstetrics & reproductive medicine
Genome-wide association study
Computational biology
Odds ratio
Biology
Statistics - Applications
01 natural sciences
Summary statistics
Article
3. Good health
010104 statistics & probability
03 medical and health sciences
0302 clinical medicine
Meta-analysis
Genetic model
Genotype
Genetics
Applications (stat.AP)
0101 mathematics
Additive model
Genetics (clinical)
Genetic association
Subjects
Details
- ISSN :
- 22145400
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Meta Gene
- Accession number :
- edsair.doi.dedup.....fef827b77bd5cad676696d5b171e1e2c