Harendra Guturu

The paper presents a scalable MBR algorithm for proteomics cohort analysis, enabling faster processing of large datasets with results comparable to existing methods.

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 identifies novel plasma biomarkers for Alzheimer's disease and related dementias using unbiased proteomics in a large cohort.

This study updates the genetic architecture of COVID-19 by adding 11 new genome-wide significant loci through a large GWAS meta-analysis.

The paper defines novel COVID-19 phenotypes and shows they reveal distinct genetic associations and protective effects compared to traditional definitions.

The paper identifies a rare variant that lowers ACE2 expression and reduces COVID-19 risk, and develops a genetic risk score predicting severe disease.

The paper shows Neurog1 controls olfactory organ morphogenesis through cxcr4b in zebrafish.

AMELIE 2 improves Mendelian disorder diagnosis by matching patient phenotypes and genotypes to primary literature, achieving high accuracy and efficiency.

Phrank improves Mendelian disease prioritization by ranking candidate genes or diseases based on phenotype similarity, outperforming existing methods in real patient exome data.

AMELIE automates Mendelian disorder diagnosis by analyzing literature and prioritizing candidate genes, achieving high diagnostic accuracy for singleton patients.