Megan L. Grove

TorchGWAS2 improves genome-wide association testing in related samples by using a deterministic variance-correction algorithm, achieving faster and more powerful results across large-scale omics data.

The paper analyzes circulating metabolites using genome-wide association data from the TOPMed program, identifying 1,778 loci and highlighting sex-specific genetic contributions.

This study shows that mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms when added to existing CHIP-based models.

This study shows that a polygenic risk score for coronary artery disease is associated with more severe atherosclerosis features in autopsy samples of sudden death cases.

This paper presents a bioinformatics pipeline to estimate mitochondrial DNA copy number and heteroplasmy levels from whole genome sequencing data, showing improved accuracy in capturing mitochondrial genetic features.

The paper describes a system for harmonizing phenotype data across multiple studies in the TOPMed program, enabling reproducible and shared phenotype data for over 80 studies.

This study identifies 15 genetic loci associated with muscle weakness in older adults through a large meta-analysis, revealing new pathways linked to aging and health outcomes.

This study identifies 100 loci associated with mitochondrial DNA copy number and finds causal links between mitochondrial function and mortality.

This study identifies new genetic loci associated with myocardial infarction and coronary heart disease using genome-wide association analyses across multiple cohorts.

This study identifies CpGs associated with mtDNA-CN and shows they influence disease-related phenotypes through nDNA methylation and gene expression changes.

This study identifies DNA methylation sites associated with central adiposity traits in adults and adolescents using methylome-wide association analyses across multiple cohorts.

The paper identifies putative cis-regulatory elements associated with blood pressure traits using open chromatin and gene expression data, and identifies several candidate genes for further functional testing.

This study evaluates methods for estimating mitochondrial DNA copy number, finding that whole genome sequencing provides more accurate associations with known correlates than qPCR or microarray platforms.

This study identifies 15 common and 9 low-frequency protein-coding variants associated with body fat distribution, implicating novel genes related to lipid homeostasis and type 2 diabetes.

This study performs a large GWAS of Alzheimer's disease, identifies four new risk loci, and highlights pathways involving immunity, lipid metabolism, and APP/Aβ processing.

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.