Anand Kumar Andiappan

The paper uses single-cell RNA-sequencing and immunoprofiling to identify two transcriptionally distinct basophil populations in human peripheral blood.

The paper identifies conserved GABAergic neurons in zebrafish and mouse lateral hypothalamus that respond to growth hormone and food cues, revealing a shared mechanism for appetite regulation.

This study shows that iron metabolism influences influenza A virus infection and disease by altering gene expression, increasing viral titer, and worsening inflammation, with TFR1 inhibition offering protection.

OTTERS is a TWAS framework that uses summary-level eQTL reference data to estimate eQTL weights and perform omnibus TWAS, showing improved power and applicability.

The paper uses blood eQTL meta-analysis to explore the polygenic architecture of complex traits, finding that trans-eQTLs are more informative for identifying causal genes than cis-eQTLs.

This paper introduces TWMR, a Mendelian Randomization method that identifies gene-trait associations by integrating GWAS and eQTL data, revealing 3,913 novel associations across 43 human phenotypes.

This study identifies 139 common and 4 rare genetic variants associated with type 2 diabetes through GWAS and integrates gene expression and epigenomic data to highlight potential functional genes and regulatory mechanisms.

The paper identifies gene targets for brain-related traits using transcriptomic and methylomic data from blood, finding strong correlations between genetic effects in brain and blood tissues.

The paper introduces a method for cell-specific eQTL analysis without cell sorting, showing that Crohn's disease-associated SNPs mainly affect neutrophil gene expression in whole blood data.