Laville, Vincent and Bentley, Amy R. and Prive, Florian and Zhu, Xiaofeng and Gauderman, Jim and Winkler, Thomas W. and Province, Mike and Rao, D. C. and Aschard, Hugues (2018) VarExp: estimating variance explained by genome-wide GxE summary statistics. BIOINFORMATICS, 34 (19). pp. 3412-3414. ISSN 1367-4803, 1460-2059
Full text not available from this repository. (Request a copy)Abstract
Many genome-wide association studies and genome-wide screening for gene-environment (GxE) interactions have been performed to elucidate the underlying mechanisms of human traits and diseases. When the analyzed outcome is quantitative, the overall contribution of identified genetic variants to the outcome is often expressed as the percentage of phenotypic variance explained. This is commonly done using individual-level genotype data but it is challenging when results are derived through meta-analyses. Here, we present R package, 'VarExp', that allows for the estimation of the percentage of phenotypic variance explained using summary statistics only. It allows for a range of models to be evaluated, including marginal genetic effects, GxE interaction effects and both effects jointly. Its implementation integrates all recent methodological developments and does not need external data to be uploaded by users. Availability and implementation: The R package is available at https://gitlab. pasteur. fr/statisticalgenetics/ VarExp. git.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | COMPLEX TRAITS; ASSOCIATION; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Institut für Epidemiologie und Präventivmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 11 Dec 2019 09:30 |
| Last Modified: | 11 Dec 2019 09:30 |
| URI: | https://pred.uni-regensburg.de/id/eprint/13781 |
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