JoAnn E. Manson

HAUDI improves polygenic score construction for admixed populations by efficiently extending the GAUDI method to multi-way admixture with faster computation and better performance.

The paper identifies plasma proteins associated with clonal hematopoiesis and links them to cardiovascular disease through proteomic and genetic analyses.

The paper develops 11 system-specific methylation clocks from blood samples to quantify aging heterogeneity across physiological systems and identifies aging subtypes with distinct disease patterns.

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 develops PACER to infer clonal expansion rates from single timepoint data and identifies TCL1A activation as a mediator of clonal hematopoiesis fitness.

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 study identifies CpG sites associated with BMI and shows that epigenetic BMI prediction correlates with metabolic health markers.

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 develops a cost-effective sequencing assay to detect clonal hematopoiesis and shows that most clonal mutations expand over time in longitudinal samples.

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

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