Tinashe Chikowore

Pathway-Specific Polygenic Risk Scores for Blood Pressure Traits in a West African Cohort

The paper develops pathway-specific polygenic risk scores for hypertension in a West African cohort, finding improved predictive power compared to baseline models.

Multi-ancestry fine-mapping accounting for ancestral and environmental heterogeneity improves resolution and interpretation

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

Accounting for heterogeneity due to environmental sources in meta-analysis of genome-wide association studies

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

Admix-kit: An Integrated Toolkit and Pipeline for Genetic Analyses of Admixed Populations

Admix-kit provides tools for genetic analysis of admixed populations, enabling simulation, association testing, and polygenic scoring.

Leveraging information between multiple population groups and traits improves fine-mapping resolution

This paper introduces MGflashfm and MGfm, methods that improve fine-mapping resolution by integrating multiple traits and population groups using summary statistics.

Discovery and fine-mapping of kidney function loci in first genome-wide association study in Africans

This study conducts the first GWAS of eGFR in Africans, identifies two genome-wide significant loci, and highlights the need for more African-specific genetic research on kidney function.

Polygenic Prediction of Type 2 Diabetes in Continental Africa

This study evaluates if African American or multi-ethnic polygenic risk scores improve type 2 diabetes prediction in continental Africans, finding that African American-derived scores are more predictive.