Saikat Banerjee

The paper uses Bayesian TWAS to identify splicing-disease associations across multiple cohorts, revealing causal mechanisms in immune, vascular, and metabolic traits.

This study uses Mendelian Randomization to identify causal relationships between neuroimaging phenotypes and bipolar disorder, finding that white matter tract variations have larger causal effects on BD.

The paper introduces Clorinn, a convex optimization method to decompose genetic variant associations into shared and distinct components across complex traits, showing improved performance in simulations and application to GWAS data.

The paper introduces Tejaas, a method for detecting trans-eQTLs by reverse regression, identifying 18851 unique trans-eQTLs across 49 tissues and showing enrichment in regulatory regions.

This paper introduces B-LORE, a Bayesian multiple logistic regression method for GWAS, showing improvements in detecting disease-associated SNPs in heritable traits and unbalanced case-control ratios.