Julie M. Granka

The paper estimates heritability for behavioural and disease traits using 500,000 sibling pairs across diverse ancestries, finding substantial genetic contributions for smoking, alcohol use, personality, and diseases like T2D and asthma.

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

This paper develops a polygenic risk score for glaucoma with improved performance across major ancestries, enabling earlier detection and targeted treatment of high-risk individuals.

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.

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%.

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.

This study identifies two distinct genetic factors influencing executive function and attentional control, showing unique links to psychiatric disorders and cognitive phenotypes.

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.

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

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

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.

This paper uses a polygenic risk score to identify undiagnosed diabetes cases, finding that combining BMI and PRS captures most undiagnosed cases, including those with normal weight.

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.

The paper shows that skin pigmentation in African populations, particularly the KhoeSan, is highly heritable and polygenic, with many new genetic loci identified beyond previously known ones.