Anjali Das

The paper introduces parmigiano, an empirical Bayesian framework that improves rare variant association testing in Alzheimer's disease by integrating functional annotations, identifying 23 candidate genes including 19 new ones.

This paper improves identification of causal Alzheimer's disease variants by integrating deep learning annotations with functional genomics, resulting in better fine-mapping and polygenic risk prediction across diverse populations.

This study introduces gruyere, a Bayesian model that improves rare variant association analysis by integrating functional annotations, identifying 15 new AD-associated genetic associations.