Gregory McInnes

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 paper introduces a deep learning model, Hubble.2D6, to predict CYP2D6 haplotype function with 88% accuracy, aiding in drug response prediction.

The paper analyzes pharmacogenetic interactions in 200,000 UK Biobank participants to identify associations between genetic variants and drug response.

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.

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.