Rachel Moore

UK Biobank release and systematic evaluation of optimised polygenic risk scores for 53 diseases and quantitative traits

The paper releases and evaluates polygenic risk scores for 53 diseases and traits in the UK Biobank and shows they outperform existing scores.

An integrated polygenic and clinical risk tool enhances coronary artery disease prediction

This paper develops an integrated risk tool combining polygenic risk scores with clinical risk factors to improve coronary artery disease prediction, showing better performance than existing tools.

Genome-wide scale analyses identify novel BMI genotype-environment interactions using a conditional false discovery rate

The paper identifies novel BMI genotype-environment interactions using a conditional false discovery rate approach on UK Biobank data, finding 140 candidate loci with GxE effects.

Very low depth whole genome sequencing in complex trait association studies

This study evaluates very low depth whole genome sequencing for complex trait association studies, showing it can efficiently discover association signals comparable to imputed GWAS chip designs.

A linear mixed model approach to study multivariate gene-environment interactions

This paper introduces StructLMM, a linear mixed model for analyzing multivariate gene-environment interactions, demonstrating its effectiveness in detecting GxE signals in BMI and eQTL data.