Oyesola Oyewole Ojewunmi

The paper introduces two fine-mapping methods to account for ancestral and environmental heterogeneity in GWAS, improving resolution of causal variants across diverse populations.

This paper introduces env-MR-MEGA, a meta-regression model that adjusts for environmental and ancestral heterogeneity in GWAS meta-analysis, improving association power.

This paper conducts a genome-wide association study in Nigerian sickle cell disease patients to identify genetic variants associated with fetal hemoglobin levels, finding significant associations at BCL11A and HBS1L-MYB and novel signals in the Nigerian cohort.

COPILOT automates GWAS quality control for Illumina genotyping data, improving sample call rates and identifying data issues across two cohorts.