D. C. Rao

The paper refines a gene-physical activity interaction affecting HDL-cholesterol by analyzing lipoprotein subfractions and exploring sex differences across multiple cohorts.

The paper identifies novel genetic loci associated with systolic blood pressure that interact with the DASH diet score through genome-wide interaction analysis.

The paper identifies 83 rare lncRNA variant sets associated with blood lipid levels using WGS data from the TOPMed program and validates some in UK Biobank data.

The paper evaluates methods to handle missing lifestyle data in gene-by-lifestyle interaction meta-analyses and recommends the Safe Approach for accuracy.

The paper introduces MAGEE, a method for efficient gene-environment interaction testing in large biobank-scale sequencing studies, reducing computational burden and enabling analysis of hundreds of thousands of individuals.

This paper develops a method to estimate stratified and marginal summary statistics from a joint gene-environment interaction model, demonstrating its accuracy through simulations and real data applications.

The paper analyzes gene-environment interaction effects across multiple ancestries and traits, identifying population-specific genetic mechanisms and methodological biases in GxE studies.

The paper decomposes mutation rate and spectra variation in human germline using blind source separation, identifying nine processes including those related to DNA damage and replication timing.

The paper identifies germline genetic variants associated with clonal hematopoiesis of indeterminate potential (CHIP) using whole genome sequences from the TOPMed program.

VarExp estimates phenotypic variance explained by genetic variants using GWAS summary statistics without individual-level data.