Brad Verhulst

The paper identifies gene-statin interactions that enhance statin effectiveness in lowering LDL cholesterol using genome-wide analyses in the UK Biobank and All of Us.

This paper identifies 58 genome-wide significant loci for major anxiety disorders using a large meta-analysis and highlights GABAergic signaling as a potential mechanism.

The paper models shared genomic and environmental influences on cognitive, language, and social traits in children, identifying distinct domains with trait-specific correlations between genetic and environmental factors.

This study conducts a genome-wide association analysis of generalised anxiety symptom severity, identifying 80 significant variants and showing genetic correlations with other mental and physical health traits.

The paper identifies five genomic factors explaining most genetic variance across 14 psychiatric disorders and finds shared and disorder-specific genetic signals with distinct biological functions.

This study uses twin-based Mendelian randomisation to find bidirectional causation between smoking and blood DNA methylation at multiple genomic sites.

This paper introduces a method to estimate gene-environment interaction heritability using genetic marginal effects and LD Score Regression, finding robust GxE effects for BMI with sex and age as moderators.

The paper uses structural equation modeling to identify three genetic factors linked to language/cognition, behavior, and motor development in ASD, revealing novel associations and simplex-specific genetic overlaps.

This paper introduces MRDoC2, a model for detecting bidirectional causation using instrumental variables and relative data, without requiring distinct genetic or environmental variance sources.

The paper models genetic relationships between literacy, language, and working memory skills in UK youth, identifying shared and distinct genetic factors.