Kevin M. Mendez

This study uses polygenic risk scores and proteomic analysis to identify genetic and molecular associations with asthma in two family-based cohorts, highlighting IL1R1's role in asthma pathogenesis.

The paper uses WGCNA to identify protein modules in 1-year-old children linked to respiratory diseases by age 6, showing associations with environmental and metabolomic factors.

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.

The paper develops OMICmAge, a multi-omics biomarker of biological age, and shows it outperforms existing markers in predicting chronic diseases and mortality.

This paper uses DNA methylation data to analyze immune cell fractions across 25,629 blood samples, identifying associations with age, sex, health outcomes, and lifestyle factors.