Asma Nouira

This paper introduces LDeconv, a method to adjust GWAS summary statistics for linkage disequilibrium, reducing false positives while preserving true associations.

This paper introduces SMuGLasso, a method to address population stratification in GWAS by identifying population-specific SNPs, showing its superiority over MuGLasso in simulations and real data.

The paper introduces PRISM, a method using pleiotropy to infer variant-trait networks, finding direct effects account for 11% of significant effects but are highly heritable.

This paper introduces a multitask group Lasso method for GWAS in diverse populations, improving feature selection and handling population structure, and shows it outperforms existing methods on simulated and real cancer data.