Chris C. A. Spencer

The paper introduces a Bayesian model comparison approach, MRP, for rare variant association studies using summary statistics, demonstrating improved power and discovery of gene-trait associations across multiple phenotypes.

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.

This study identifies five genome-wide associations with severe malaria risk in 17,000 individuals from Africa, Asia, and Oceania, including a new variant linked to cerebral malaria.

This paper introduces a Bayesian framework for meta-analyzing GWAS across diverse phenotypes, showing increased power compared to frequentist methods.

The paper examines the impact of IFN-lambda4 on HCV diversity using host and viral genetic data from 485 patients, finding that IFN-lambda4 variants influence viral amino acid diversity and load.

The paper uses PheWAS across large cohorts to identify genetic associations with drug targets and predict drug safety and efficacy.

The paper identifies a structural variant in GYPA and GYPB genes associated with reduced risk of severe malaria in sub-Saharan African populations.