The copy number variation and stroke (CaNVAS) risk and outcome study

Area of Science:

• Genetics and Genomics
• Neurology
• Stroke Research

Background:

• The role of copy number variation (CNV) in stroke susceptibility and outcome remains largely unexplored.
• The Copy Number Variation and Stroke (CaNVAS) Risk and Outcome study aims to fill this critical knowledge gap.

Purpose of the Study:

• To investigate the association between CNVs and the risk of ischemic stroke (IS) and its subtypes.
• To evaluate the relationship between CNVs and stroke outcomes at 3 months.
• To explore the underlying mechanisms by which CNVs influence stroke risk and outcome using biomarker data.

Main Methods:

• Analysis of over 24,500 IS cases and 43,500 controls with existing GWAS and exome array genotyping data.
• Multi-stage approach involving risk discovery, replication, and extension analyses across diverse ethnic datasets.
• Integration of biomarker data (methylation, proteomics, RNA, miRNA) to elucidate CNV-driven effects.

Main Results:

• Initial evaluation of 50 samples per dataset confirms the suitability of existing GWAS and exome chip data for CNV analyses.
• Demonstrated ability to identify samples requiring special analytical considerations, such as those with clonal mosaicism.
• Preliminary findings suggest an inverse relationship between CNV burden and stroke outcome at 3 months.

Conclusions:

• The CaNVAS study efficiently leverages existing case-control data to explore CNV-stroke relationships.
• The study will provide insights into CNV associations with IS, its subtypes, and outcomes across diverse populations and age groups.
• This research will enhance understanding of genetic factors contributing to stroke and inform potential therapeutic strategies.