Matthew Flickinger

LocusZoom.js provides an interactive web-based tool for visualizing genetic association study results with customizable views and integration of biological data.

This paper introduces a contamination estimation method that is agnostic to genetic ancestry, improving accuracy in DNA sample analysis.

The paper examines common genetic variants' contribution to bipolar disorder risk in multiplex families and finds higher polygenic risk scores in affected individuals compared to controls and unaffected family members.

This study identifies 73 genome-wide significant loci for mood disorders, revealing shared and distinct genetic factors between major depressive disorder and bipolar disorder.

This study identifies 30 genome-wide significant loci associated with bipolar disorder, including novel genes involved in ion channels, neurotransmitters, and synaptic components.

The paper analyzes rare variants to uncover mutation rate heterogeneity in the human genome, identifying genomic features that influence mutation rates.