Yoonjung Yoonie Joo

This study identifies genetic associations between brain structure/function, cognitive traits, and psychopathologies in children using polygenic scores and multivariate analysis.

This study identifies 1,289 genetic signals for type 2 diabetes in 2.5 million individuals, revealing distinct clusters linked to vascular complications and highlighting ancestry-specific genetic risk factors.

This paper shows that polygenic risk scores (PRS) overestimate predictive accuracy when datasets have overlapping subjects, using Alzheimer's disease and other traits as examples.

This study identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

This study uses NLP to identify diverticular disease from EHRs and performs GWAS and PheWAS across multiple ancestries to find genetic risk variants and clinical associations.

This study develops a polygenic and phenotypic risk score for PCOS using EHR data, showing improved detection and identifying shared metabolic and endocrine comorbidities.