Sodbo Sharapov

This study expands the human plasma proteome analysis using an enhanced SomaScan platform, identifying new genetic associations and disease mechanisms beyond the classical secretome.

This study uses 3D diffusion autoencoders to derive latent cardiac MRI phenotypes, finds they share a genetic basis with cardiometabolic traits, and shows predictive power for disease risk.

The paper replicates ten novel loci associated with human plasma N-glycosylation using MALDI-MS and UHPLC-FD data and identifies potential causal genes.

The paper reconstructs IgG-specific N-glycan profiles from total plasma N-glycome data, identifies known and novel loci associated with IgG N-glycosylation, and enables meta-analyses without new samples.

This study identifies genetic determinants of endothelial cell molecular traits and their overlap with disease GWAS loci, revealing shared and unique mechanisms in non-communicable diseases.

SAFE-LD estimates linkage disequilibrium from GWAS summary statistics using pseudo-genotypes that preserve in-sample LD while protecting privacy.

This study identifies 16 new genetic loci associated with plasma N-glycosylation in 10,000 individuals and links them to liver disease and inflammatory proteins.

The paper identifies genetic regulators of 184 neuro-related proteins in human plasma and links them to disease traits and drug targets.

The paper identifies 16 genomic loci associated with IgG galactosylation through GWAS and validates three genes using CRISPR/dCas9 in an in vitro system.

SHAHER is a framework that identifies shared genetic factors across correlated traits using GWAS summary statistics, showing improved performance in simulations and real datasets.

The paper identifies genetic loci regulating glycosylation of transferrin and IgG, finding both shared and protein-specific associations and proposing tissue-specific transcription factor regulation.

This study identifies three genetic loci associated with chronic widespread musculoskeletal pain, with the RNF123 locus replicated in independent cohorts.

This study performs a GWAS on random glucose measurements in 493,036 individuals, identifying 128 loci associated with glycaemic traits and providing insights into diabetes biology and treatment.

The paper identifies shared genetic factors for chronic musculoskeletal pain across different anatomic sites using genetically independent phenotypes derived from UK Biobank data.

This study identifies 7 genetic loci associated with varicose veins and finds genetic overlaps with traits like intelligence and smoking.

This paper develops a multi-trait framework for discovering, replicating, and interpreting pleiotropic loci using GWAS summary statistics, identifying novel genetic associations without additional genotyping.

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 introduces a network-based conditional GWAS method to analyze metabolomics data, identifying additional loci by improving genetic effect precision and handling pleiotropic scenarios.