Chun Chieh Fan

The paper examines gene-experience correlations in cognitive development using ABCD Study data, finding stronger genetic associations with crystallized intelligence measures and significant mediation by recreational reading.

The paper introduces Meta-MOSTest, an extension of MOSTest for meta-analysis of multivariate GWAS, showing it maintains statistical power and type I error control across multiple cohorts.

The paper examines genetic and familial risk factors for psychopathology in youth, finding shared and unique associations between polygenic risk scores and behavioral measures.

The paper uses restriction spectrum imaging to analyze age-related microstructural changes in brain diffusion across 9-14 year olds from the ABCD Study, finding increased restricted diffusion in subcortical regions with age.

The paper describes the design and aims of the ABCD Study, discussing challenges in estimating meaningful associations and recommending best practices for research using its data.

The paper uses RSI to analyze diffusion patterns in subcortical regions of children aged 9-13, finding age-related changes in restricted diffusion metrics across different brain areas.

This study improves a polygenic hazard score for prostate cancer by adding 120 SNPs, enhancing hazard ratios but not positive predictive value of PSA testing.

The paper improves a polygenic hazard score for prostate cancer age at diagnosis by adding SNPs specific to African ancestry, enhancing performance in this population.

The paper identifies genetic loci associated with human cortical structure and finds genetic correlations with neuropsychiatric disorders.

The paper shows that distinct cortical morphology patterns are associated with different cognitive domains in children, highlighting the importance of sociodemographic factors.

The paper evaluates a polygenic hazard score for prostate cancer screening, showing it improves positive predictive value by adjusting screening age based on genetic risk.