Adam Lavertu

This paper quantifies adverse drug reaction severity using social media data and presents scores correlated with real-world outcomes.

The paper analyzes pharmacogenetics in the UK Biobank, finding that most individuals may have atypical drug responses and non-European populations have more deleterious variants.

This study identifies genetic variants in APOE and LPA associated with statin selection and higher intensity statin doses in the UK Biobank.

This study evaluates if GWAS using digital phenotyping data from UK Biobank improves genetic association detection for diseases.

RedMed improves drug mention detection in social media by using a word embedding model trained on Reddit data, capturing more mentions than exact string matches.

The paper identifies cell cycle-regulating genes in Symbiodinium minutum and correlates their expression with cell cycle phases to explore potential control points for algal cell divisions in corals.

Global Biobank Engine enables browsing of genotype-phenotype relationships using biobank summary statistics from large cohorts like UK Biobank.

The paper assesses the medical relevance of protein-truncating variants across 337,208 UK Biobank individuals, identifying 27 associations with 135 phenotypes and highlighting pleiotropic effects.