Qiaojuan Jane Su

Large-scale analysis demonstrates the influence of CYP2C19 genotype on specific SSRI side effects

The paper analyzes the impact of CYP2C19 genotype on SSRI side effects and discontinuation rates in a large sample of individuals.

Association between polygenic risk and survival in breast cancer patients

This study finds that higher polygenic risk scores for breast cancer are associated with longer survival in patients, suggesting a link between genetic predisposition and less aggressive tumors.

Multivariate genome-wide association analysis of quantitative reading skill and dyslexia improves gene discovery

This study uses a multivariate GWAS approach to identify genetic loci associated with reading ability and dyslexia, finding 35 new genome-wide significant loci and estimating SNP heritability at 24%.

Insights into Ancestral Diversity in Parkinsons Disease Risk: A Comparative Assessment of Polygenic Risk Scores

This study compares polygenic risk scores for Parkinson's disease across seven ancestries, finding varying predictive accuracy and highlighting the need for ancestry-specific models.

Bidirectional relationship between olfaction and Parkinson's disease

This study identifies genetic correlations between hyposmia and Parkinson's disease, finding a strong causal link from PD to hyposmia but weaker evidence for the reverse.

The shared genetic architecture and evolution of human language and musical rhythm

This study investigates the shared genetic architecture between rhythm and dyslexia using large-scale genome-wide association studies.

The impact on clinical success from the 23andMe cohort

This paper evaluates how the scale and quality of genetic data from the 23andMe cohort improve predictions of clinical success for drug targets.

MUSSEL: Enhanced Bayesian Polygenic Risk Prediction Leveraging Information across Multiple Ancestry Groups

MUSSEL improves polygenic risk prediction across populations by integrating GWAS summary statistics and using Bayesian hierarchical modeling with ensemble learning.

Multi-ancestry genome-wide meta-analysis in Parkinson's disease

This paper conducts a multi-ancestry genome-wide meta-analysis of Parkinson's disease, identifying 78 independent loci and 23 genes associated with PD risk.

A new method for multi-ancestry polygenic prediction improves performance across diverse populations

The paper introduces CT-SLEB, a method for multi-ancestry polygenic prediction that improves performance in non-European populations using GWAS summary statistics and simulation studies.