Simin Liu

cellSTAAR integrates single-cell ATAC-seq with whole-genome sequencing to enhance power and interpretation of rare variant association tests in non-coding regions.

This paper conducts a multi-ancestry time-to-event GWAS to identify genetic variants associated with incident cardiovascular disease in people with type 2 diabetes, finding three novel loci and confirming known CAD variants.

The paper identifies a gene-diet interaction modifying the association between macronutrient intake and glycemic traits, highlighting challenges in detecting such interactions due to measurement error and sample size.

This study assesses the broad clinical manifestations of polygenic risk for coronary artery disease using genome-wide PRS in the Women's Health Initiative, finding associations with various biomarkers, outcomes, and unexpected cancer risks.

The paper performs whole genome sequence association analysis of fasting glucose and insulin levels in diverse cohorts, identifying 22 significant variants across 16 gene regions, including rare variants.

This paper constructs a multi-ethnic polygenic risk score for hypertension and shows it is associated with hypertension prevalence, progression, and related clinical outcomes.

The paper estimates heritability for height and BMI using whole-genome sequence data and finds that rare variants contribute significantly to the missing heritability.

This study identifies 59 sentinel variants and two novel genes associated with telomere length using whole genome sequences from 109,122 trans-ethnic individuals.

The paper identifies rare non-coding variants from whole genome sequencing in the TOPMed program, showing they contribute significantly to type 2 diabetes heritability.

The paper develops a DNA methylation-based risk score for cardiovascular disease and shows it predicts risk independently of traditional factors.

The paper develops a gene-diet interaction score to predict dietary fat response for cardiometabolic risk factors using the Women's Health Initiative cohort.

The paper identifies DNA methylation modules and regions associated with incident cardiovascular disease and cumulative risk factor exposure using data from the Women's Health Initiative and Framingham Heart Study Offspring Cohort.

This study identifies genetic loci and biological pathways linking inflammation and vascular remodeling to heart failure subtypes in women across ethnicities.

This study compares methods for constructing genetic risk scores in Hispanics/Latinos using European ancestry GWAS results and finds that using Hispanic/Latino GWASs for SNP weights improves performance.