Shing Wan Choi

This study identifies pathway-level polygenicity in anorexia nervosa by constructing pathway-based polygenic risk scores and finding 497 associated pathways.

The paper identifies departures from polygenic architecture in the tails of complex traits, showing rare alleles are more prevalent and impactful in extreme trait values.

BridgePRS improves polygenic risk score accuracy in non-European populations by leveraging shared genetic effects across ancestries, outperforming existing methods in simulated and real data.

EraSOR addresses sample overlap in polygenic score analyses by adjusting for inflation in PRS prediction and association statistics, improving robustness in the presence of inter-cohort overlap.

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 paper identifies genetic pathways and cell types involved in ALS using polygenic risk scores and Mendelian randomization, finding convergence on specific biological processes and cell types.

Best-practice guidance for polygenic risk score (PRS) analysis: PRS-specific quality control, shrinkage and linkage disequilibrium handling, liability-scale R^2, overfitting control, and UK Biobank power examples.

The paper examines phenotypic and genetic relationships between cannabis use, depression, and self-harm using UK Biobank and consortium data, finding associations and genetic correlations.

This study uses family-based genetic effects to estimate heritability of neuroticism and education in the UK Biobank, finding increased heritability and couple environmental influence on education.

This study investigates whether genetic variation in the Major Histocompatibility Complex (MHC) is associated with depression risk, finding no significant associations at a conservative threshold.

This study investigates genetic associations between major depression and cardio-metabolic traits, finding shared genetic aetiology regardless of depression onset age.

This study investigates the genetic and environmental links between major depressive disorder and traumatic experiences using UK Biobank data, finding shared genetic factors and distinct patterns in trauma-exposed individuals.

This paper develops methods to calculate polygenic scores using raw genetic data from UK Biobank while avoiding overfitting, showing improved predictive power for six phenotypes.

This paper introduces lassosum, a penalized regression method for constructing polygenic scores using summary statistics and a reference panel, showing improved accuracy and efficiency compared to existing methods.