Péter Straub

This study uses polygenic scores to identify pleiotropic effects of psychiatric dimensions across medical and laboratory phenotypes, revealing biological links between mental health and physical conditions.

The paper identifies sex-specific genetic loci for clinical traits using EHR data, finding that differential effect magnitudes, not opposing effects, dominate sex-specific genetic architecture.

This study examines sex differences in immune function and disease risk across populations, finding no consistent support for the evolutionary mismatch hypothesis.

This study identifies ancestry-specific and sex-specific genetic loci for primary open-angle glaucoma through a meta-analysis of 15 biobanks, highlighting shared biology with vascular mechanisms and cell proliferation.

This study identifies gene expression changes linked to exfoliation syndrome using TWAS and finds enrichment for inflammatory genes, suggesting inflammation's role in the disease.

This study evaluates polygenic risk score methods across diverse biobanks and ancestries, finding that European reference panels often yield better performance, while PRS-CS outperforms P+T for high-heritability traits.

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

This study identifies genes associated with both depression and coronary artery disease that are enriched for inflammation and cardiomyopathy pathways, and finds higher prevalence of cardiomyopathy in individuals with comorbid depression-CAD.

Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.

This study conducts a genome-wide association study to identify genetic variants linked to musical beat synchronization, finding high polygenicity with 69 significant loci and heritability estimates of 13%-16%.

The paper introduces methods to clean and analyze clinical lab data linked to EHRs, finding polygenic scores associated with lipid levels and coronary artery disease biomarkers.

This study identifies genetic risk factors for major depressive disorder and loneliness as predictors of coronary artery disease risk, particularly in women.

This study evaluates polygenic risk scores for schizophrenia in electronic health records, finding strong associations with schizophrenia and pleiotropic effects on other psychiatric and medical conditions.