Hua Zhou

The paper introduces HaploADMIXTURE, a method that uses haplotypes to estimate genetic admixture proportions, improving accuracy over SNP-based methods.

This paper introduces a penalized regression algorithm for multivariate GWAS using iterative hard thresholding, showing improved efficiency and reduced false positives compared to existing methods.

This paper introduces an unsupervised framework for selecting ancestry informative markers and estimating admixture proportions in large biobank datasets, demonstrating scalability and effectiveness.

The paper introduces a new statistical method for multivariate variance components models to analyze brain isoform expression and identifies novel psychiatric disease mechanisms.

MendelImpute.jl provides a fast, data-driven method for genotype imputation, phasing, and ancestry inference using linear algebra instead of hidden Markov models.

This paper introduces an improved iterative hard thresholding method for GWAS that enhances true positive rates and reduces false positives compared to traditional approaches.

The paper develops exact tests for variance components in longitudinal microbiome studies and applies them to HIV-infected patients, identifying associations between lung microbiome genera and lung function.