Eva Christina Schulte

The paper recalculates CNV penetrance for intellectual disability, showing lower estimates due to methodological differences, and recommends phenotype-specific risk reporting.

This study identifies shared genetic architecture between schizophrenia and substance use disorders using GWAS and genomic methods, finding significant genetic correlations and bidirectional causal relationships.

This study identifies BHLHE41 as a key regulator of lithium response in bipolar disorder by showing its role in neuronal excitability and synaptic plasticity through genetic and cellular analyses.

The paper develops pathway-specific polygenic scores to predict lithium treatment response in bipolar disorder and finds associations with specific biological pathways.

This study identifies two clusters of severe mental disorder patients with differing illness severity, finding elevated pro-inflammatory serum proteins in the more severe group.

The paper identifies a novel miR-99b-5p-Zbp1 pathway in microglia that contributes to schizophrenia pathogenesis and suggests potential therapeutic strategies.

The paper develops a machine learning model to predict COVID-19 severity using exonic variants from whole exome sequencing data, finding that variants across all frequency categories contribute to severity.

The paper investigates genetic correlations between psychiatric disorders, personality traits, and SARS-CoV-2 susceptibility using GWAS data and individual-level polygenic risk scores.

This study examines how a major genetic risk factor for COVID-19 affects mortality and severity, finding stronger effects in younger adults.