Devika Dhamija

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.

Viewing Direct-to-Consumer Genetic Test Results for Depression Risk Is Psychologically Well Tolerated: Evidence from a Longitudinal Equivalence Study

This study examines the psychological impact of viewing depression polygenic risk scores (PRS) in a real-world setting, finding no significant difference in depression or anxiety symptoms between those who viewed their results and those who did not.

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.

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.

Discovery of genomic loci associated with sleep apnoea risk through multi-trait GWAS analysis with snoring

This study identifies 49 genetic loci associated with sleep apnoea risk using multi-trait GWAS, with 29 replicated in a large cohort, and finds genetic correlations with several complex traits.

Large-scale trans-ethnic replication and discovery of genetic associations for rare diseases with self-reported medical data

This paper uses self-reported medical data to perform GWAS on 33 rare diseases, rediscovering known associations and finding novel ones, validated across multiple populations.