Mr-ggi: accurate inference of gene–gene interactions using mendelian randomization

HIGHLIGHTS

• What: The authors propose a new statistical method MR-GGI for accurately inferring gene-gene interactions using Mendelian randomization. Utilizing various simulated datasets, the authors show that MR-GGI successfully controls the type 1 error and retains its statistical power even though confounding effects exist in the data. The authors show that using more than one cis-SNP as IVs increases the statistical power of experiments in simulation studies. Utilizing the DREAM5 dataset , which is often used as a gold standard dataset for GRN studies, the authors show that MR-GGI accurately infers gene-gene interactions and . . .
  

   

  

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