PheWAS-ME
PheWAS-ME analyzes multimorbidity patterns in phenome-wide association studies by integrating individual-level genotype data from DNA biobanks with clinical phenotypes extracted from electronic health records to characterize multivariate gene–disease associations.
Key Features:
- Data integration: Integrates individual-level genotype data from DNA biobanks with clinical phenotypes derived from electronic health records (EHRs).
- Multimorbidity analysis: Detects and interrogates complex multivariate gene–disease associations that arise from comorbidities within PheWAS results.
- Custom data input: Accepts custom PheWAS result files and corresponding individual-level genotype and phenotype datasets for tailored analyses.
- Individual-level association analysis: Performs analysis of gene–phenotype associations at the individual level to reveal patterns that influence PheWAS interpretation.
Scientific Applications:
- Precision medicine research: Elucidates how genetic variants associate with multiple clinical phenotypes to inform precision medicine studies.
- Multimorbidity and comorbidity research: Enables investigation of the genetic underpinnings and interactions of comorbid diseases.
- PheWAS result interpretation: Improves interpretability of PheWAS by identifying multivariate association patterns beyond single-phenotype analyses.
Methodology:
Integrates individual-level genotype data with clinical phenotypes recorded in EHRs to explore associations between genetic variants and multiple phenotypes and to highlight multimorbidity patterns.
Topics
Details
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 1/23/2021
Operations
Publications
Strayer N, Shirey-Rice JK, Shyr Y, Denny JC, Pulley JM, Xu Y. PheWAS-ME: a web-app for interactive exploration of multimorbidity patterns in PheWAS. Bioinformatics. 2020;37(12):1778-1780. doi:10.1093/bioinformatics/btaa870. PMID:33051675. PMCID:PMC8487628.