Christopher D. Anderson

The Ethnic/Racial Variations of Intracerebral Hemorrhage Genetics (ERICH-GENE) Study Protocol

ERICH-GENE collects and analyzes genomic and neuroimaging data from over 10,000 multi-ethnic ICH cases to identify genetic risk factors and trans-ethnic variation in ICH.

Deep resequencing of the 1q22 locus in non-lobar intracerebral hemorrhage

The paper performs deep resequencing of the 1q22 locus in non-lobar ICH cases and controls to identify causal variants and mechanisms.

Proteogenomic integration reveals CXCL10 as a potentially downstream causal mediator for IL-6 signaling on atherosclerosis

The paper uses proteogenomic integration to identify CXCL10 as a mediator of IL-6 signaling effects on atherosclerosis, showing its association with cardiovascular disease risk and lesion characteristics.

A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage

This paper develops a genomic risk score for intracerebral hemorrhage using genome-wide association data and validates its predictive power in multiple cohorts.

Genetically predicted on-statin LDL response is associated with higher intracerebral hemorrhage risk

This study uses Mendelian Randomization to show that a higher genetic response to statins is linked to increased intracerebral hemorrhage risk among statin users.

De novo mutations across 1,465 diverse genomes reveal novel mutational insights and reductions in the Amish founder population.

The paper analyzes de novo mutations in 1,465 genomes to show similar mutation rates across ancestries but reduced rates in the Amish population, with environmental factors possibly influencing mutation rates.

The Subtype Specificity of Genetic Loci Associated with Stroke in 16,664 cases and 32,792 controls

The paper identifies subtype-specific genetic loci associated with stroke subtypes and finds heterogeneity in their effects across different stroke types.

Atrial Fibrillation Genetic Risk Differentiates Cardioembolic Stroke from other Stroke Subtypes

The paper assesses if genetic risk for atrial fibrillation explains cardioembolic stroke risk using genome-wide data from the Stroke Genetics Network.

Clustering of Type 2 Diabetes Genetic Loci by Multi-Trait Associations Identifies Disease Mechanisms and Subtypes

This paper clusters T2D genetic loci using multi-trait associations to identify disease mechanisms and subtypes, finding distinct clinical outcomes linked to each cluster.