Kunal Bhutani

The paper identifies genoinformative markers (GIMs) in mammalian spermatogenesis showing allelic expression bias, suggesting selective sweeps and evolutionary conflict between germline and somatic functions.

This study identifies technical artifacts in TCGA germline variant calls, showing how batch effects from DNA amplification confound germline-tumor type associations and recommends removing amplified DNA samples.

This paper improves TWAS power by incorporating prediction uncertainty, finding 45 TWAS genes with 17 novel associations and replicating only 2 of 40 previously reported genes.

The paper introduces fQTL, a multi-tissue model for eQTL mapping and gene expression prediction, improving TWAS results for Alzheimer's and schizophrenia.