Michael H. Cho

The paper introduces SMMAT, a variant-set mixed model association test for continuous and binary traits in large-scale WGS studies, showing it controls type I error rates and applies to population structured and related samples.

The paper integrates existing interactome data with new experimental interactions to identify a COPD-related disease network module.

The paper analyzes whole genome sequences from 16,324 individuals to identify genetic variants associated with blood lipid levels and develops a polygenic score for LDL-C.

This study identifies over 50 new genetic loci associated with pulmonary function through a multiethnic meta-analysis of 90,715 individuals.

The paper uses whole genome sequencing to identify genetic variants associated with plasma lipoprotein(a) levels and finds high heritability and inter-ethnic differences in Lp(a) risk.

This study compares genotype imputation performance of three African ancestry reference panels in African American cohorts, finding 1000G provides the highest imputation quality and coverage.

The paper identifies 12 novel COPD loci and candidate causal genes using GWAS and lung eQTL data from 129 risk loci.

The paper identifies ACVR1B as a candidate causal gene for emphysema distribution by integrating GWAS, eQTL, and epigenomic data.