Angela R Brooks-Wilson

The paper identifies DNA methylation variability and differential methylation regions associated with aging-related health decline and constructs an epigenetic biomarker that outperforms methylation-only biomarkers in predicting mortality.

The paper introduces Q-FSNet and Q-DirichNet, sparse Bayesian neural networks for identifying physiological sweet spots in metabolomic data from the Canadian Longitudinal Study on Aging.

This paper develops methods to prioritize rare variants in family-based sequencing studies with disease subtypes by comparing global and local approaches for variant prioritization.

The paper introduces WARP, a variant ranking pipeline for familial complex disorders, which identifies potential disease-predisposing genes in pedigrees by combining multiple weighted factors.

The paper identifies breast cancer risk variants associated with tumor subtypes and shows their differential effects on luminal and non-luminal subtypes.

The paper introduces a penalized logistic regression method using log-F priors to reduce bias in genetic association studies with binary phenotypes, showing lower bias and mean squared error in simulations.

This study fine-maps 150 breast cancer risk regions to identify 178 high confidence target genes using genomic and functional annotations.

SimRVSequences simulates genetic sequence data for pedigrees to evaluate methods for identifying causal rare variants in family-based studies.

This study investigates allele-specific transcript abundance in healthy centenarians and mid-life controls, finding no overall expression bias towards major or minor alleles.

The paper introduces SimRVPedigree, an R package for simulating pedigrees ascertained for multiple disease-affected relatives to study family-based study design.