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2. A partition-based approach to identify gene-environment interactions in genome wide association studies
3. Considering interactive effects in the identification of influential regions with extremely rare variants via fixed bin approach
4. Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statistics
5. Bayesian hierarchical graph-structured model for pathway analysis using gene expression data
6. Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approach
7. Identifying influential regions in extremely rare variants using a fixed-bin approach
8. Identifying rare disease variants in the Genetic Analysis Workshop 17 simulated data: a comparison of several statistical approaches
9. Genome-wide gene-based analysis of rheumatoid arthritis-associated interaction with PTPN22 and HLA-DRB1
10. Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes
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