Gaurav Thareja

This study performs a genome-wide association study using mass spectrometry proteomics to identify pQTLs, finding that epitope effects may affect some affinity proteomics results while confirming others.

This study uses mass spectrometry proteomics to identify protein altering variants and map pQTLs, confirming target specificity and identifying novel variants not accessible by affinity proteomics.

This study presents the first large-scale IgA glycomics dataset from twins, identifies shared and specific genetic loci influencing IgA and IgG glycosylation, and shows genetic conservation across ethnicities.

This study performs a multi-ancestry GWAS on lung function and COPD, identifying 559 genes and 29 pathways, and showing genetic risk scores are associated with COPD across ancestries.

This study uses scRNA-seq to analyze kidney allograft biopsies and identifies recipient-derived fibroblasts and other cell states associated with fibrosis and rejection.

The paper uses systems biology analysis of whole-genome sequences from 298 SB case-control pairs to identify key pathways and genes associated with spina bifida risk.

This study identifies twelve genetic loci associated with human blood plasma N-glycome composition through genome-wide association analysis, revealing both direct and indirect genetic influences on glycosylation.

The paper performs a GWAS on blood plasma proteome data from two cohorts to identify SNP-protein associations linked to various diseases and creates a genome-proteome network and web tool for analysis.