Rasika Venkatesh

The paper reports NAT2 star allele frequencies across three biobanks, identifying common alleles and population-specific differences in metabolizer phenotypes.

DRIVE-KG integrates multi-omics data into a knowledge graph to discover SNP-phenotype associations and predict endometriosis status, uncovering new variant-phenotype links and improving classification performance.

The paper evaluates proteomic and polygenic risk scores for disease prediction, finding proteomic scores outperform polygenic scores in most traits and show temporal responsiveness.

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

This study uses multi-omics data to connect MRI-derived cardiac measures with gene and protein changes in heart failure, identifying shared pathways and novel insights into disease mechanisms.

This study shows that high-frequency stimulation of ventral CA1 neurons inhibits fear expression by reducing amygdala activity, similar to findings in dorsal CA1.