Shaila A. Musharoff

This paper introduces Mikado, a method using sparse linear algebra to accelerate genotype representation graph computations, significantly improving speed over existing tools on large biobank datasets.

This study shows that breast cancer polygenic risk scores perform differently across socioeconomic statuses, with income improving predictive accuracy in certain groups.

This study examines sex and race differences in LDL-C levels and statin treatment using All of Us data, finding higher LDL-C in women and lower statin use and efficacy in women, especially Black women.

The paper shows that social factors of health reduce heritability estimates for anthropometric traits when included as covariates in genetic analyses.

The paper tests for genetic interactions affecting causal variant effect sizes in gene expression and LDL-C across European and African American populations, finding significant evidence in gene expression but not LDL-C.

The paper assesses the impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx, finding that local ancestry adjustment improves power but has limited effect on colocalization probabilities.

The paper introduces ADGLM to model population variance structure, showing it biases genetic association studies and identifies novel genotype-variance associations.

The paper designs a genotyping array (ADPC) for African-specific genetic variation using whole genome sequences from the CAAPA consortium, improving GWAS for African ancestry populations.

This study identifies novel asthma susceptibility loci in individuals of African ancestry through genome-wide association analysis and admixture mapping.