Emile Rugamika Chimusa

This study identifies genetic variants associated with cervical cancer in Malawian women using whole genome sequencing and variant prioritization.

The paper investigates genetic factors influencing hydroxyurea response in Tanzanian sickle cell disease patients, identifying associations with specific loci and pathways.

The paper introduces a Bayesian Dirichlet process model to analyze microbiome associations with host phenotypes, showing high statistical power in simulated and real datasets.

This paper identifies biosignatures specific to different COVID-19 disease phases through integrative multi-omics network analysis and finds that disease severity correlates with increased biosignature interactions across omics data.

JasMAP improves GWAS power in multi-way admixed populations by jointly analyzing genotype and ancestry associations, identifying 13 significant SNPs in a South African Coloured population with TB.

This study simulates genomic data from diverse populations to assess GWAS tool performance and proposes an optimized framework for analyzing GWAS data in non-European populations.

The paper examines how genetic risk factors and gene expression influence longitudinal changes in brain connectivity and dementia progression in Alzheimer's disease.

The paper identifies 57 and 125 candidate genes for severe malaria resistance using GWAS data from 17,000 individuals, finding enrichment in malaria pathogenic pathways.

This study identifies rare genetic variants associated with HIV-1 progression in a Botswana population using whole genome sequencing and statistical analysis.

The paper characterizes human genomic variations and mutation burden in Botswana using whole genome sequencing, identifying damaging variants and admixture patterns.

The paper discusses how incorporating microbiome data into GWAS can improve heritability estimation and trait prediction by addressing missing heritability.

This paper introduces BiGen, a structural equation model that integrates genetic, neuroimaging, and clinical data to analyze complex brain diseases like Alzheimer's and glioblastoma.

The paper conducts a GWAS to analyze changes in brain connectivity over disease progression in Alzheimer's, identifying genetic associations with structural connectivity changes.

The paper estimates SNP-heritability of severe malaria susceptibility and resistance across three African populations, finding polygenic inheritance with significant enrichment in protein coding regions.

This paper reviews progress and challenges in GWAS of malaria susceptibility, highlighting the need for integrative approaches to understand genetic basis of resistance.

This study identifies genetic overlaps between Tourette Syndrome risk and subcortical brain volumes using GWAS and pleiotropy analysis.

The paper investigates selection mechanisms underlying human brain structure and behavioral traits, finding evidence for ancient and recent polygenic adaptation but not classical selective sweeps.