Lisa Eick

The paper introduces the Proteomic Sex Index (PSI), a continuous measure of plasma proteome alignment with chromosomal sex, showing its association with health and disease traits.

The paper uses genome-wide meta-analysis and machine learning to study prescription opioid use in 860,000 individuals, identifying genetic loci and distinguishing between pain-related and dose-intensity traits.

The paper reduces misclassification bias in EHR-based GWAS of psychiatric traits using SuperControl and PRISMA, increasing locus discovery and biological specificity.

This study evaluates polygenic scoring methods across five biobanks and finds that biobank differences outweigh method differences, with ensemble learning improving performance.