Saskia Selzam

The paper releases and evaluates polygenic risk scores for 53 diseases and traits in the UK Biobank and shows they outperform existing scores.

This study identifies genetic links between early vocabulary development and ADHD and cognition traits using genome-wide analyses.

This paper improves the prediction of behaviour problems using multi-GPS, cross-age and cross-rater composites, increasing predictive variance from less than 2% to up to 6%.

The paper quantifies genetic confounding in epidemiological associations between maternal education and child outcomes, showing significant attenuation when adjusting for polygenic scores and heritability estimates.

This study evaluates polygenic scoring methods in a reference-standardized framework, finding that LDPred2, lassosum, and PRScs provide the best predictive performance.

This paper develops an integrated risk tool combining polygenic risk scores with clinical risk factors to improve coronary artery disease prediction, showing better performance than existing tools.

This study evaluates gene expression risk scores (GeRS) for predicting neuropsychiatric and anthropometric traits, finding they improve prediction when combined with polygenic risk scores (PRS).

This study investigates how polygenic scores and environmental factors jointly predict educational achievement, finding significant gene-environment correlation but no overall gene-environment interaction.

The paper investigates a general dimension of psychopathology (p factor) across childhood and adolescence, finding it highly heritable and genetically stable.

This study compares within- and between-family polygenic score predictions for eight life outcomes in DZ twins, finding that cognitive traits show greater between-family prediction, which is explained by socio-economic status.

The paper uses genome-wide association study summary statistics to predict cognitive traits in children, showing 11% variance in intelligence and 16% in educational achievement at age 12-16.

This paper investigates gene-environment correlation by showing that children's genetic predispositions to BMI influence parental feeding practices, with polygenic scores linked to restriction and pressure.

The paper tests the genetic p factor hypothesis by analyzing correlations across psychiatric disorders using multiple methods and finds strong support for a genetic p factor.

The paper finds that genetic risk for neuropsychiatric diseases is linked to reduced deep grey matter volume in preterm infants, suggesting a mechanism for how early adversity interacts with genetic vulnerability.