A large-scale exome array analysis of venous thromboembolism
Sara Lindström1,2, Jennifer A Brody3, Constance Turman4
1Department of Epidemiology, University of Washington, Seattle, Washington.
Genetic Epidemiology
|January 20, 2019
Summary
This study searched for low-frequency genetic variants linked to venous thromboembolism (VTE) risk. No new significant associations were found, suggesting larger studies are needed to uncover rare VTE risk factors.
Area of Science:
- Genetics
- Cardiovascular Disease Research
Background:
- Genome-Wide Association Studies (GWAS) have identified common variants associated with venous thromboembolism (VTE).
- A comprehensive exome-wide search for low-frequency variants impacting VTE risk has been lacking.
Purpose of the Study:
- To conduct a meta-analysis of exome-wide studies to identify low-frequency variants associated with VTE risk.
- To perform single variant and gene-based rare variant tests.
Main Methods:
- Meta-analysis of 11 studies with 8,332 VTE cases and 16,087 controls (European ancestry) and 382 cases and 1,476 controls (African American ancestry).
- Genotyping using the Illumina HumanExome BeadChip.
- Analysis using the seqMeta package in R for single variant and gene-based rare variant tests.
- Focus on variants with at least 40 minor alleles across studies (MAF ~0.08%).
Main Results:
- Confirmed associations with known VTE loci: ABO, F5, F11, and FGA.
- No novel significant findings were observed in single variant or gene-based analyses after adjusting for multiple testing.
- The study had >80% power to detect odds ratios >1.5 for variants with MAF of 0.01 and >1.8 for MAF of 0.005.
Conclusions:
- This exome-wide meta-analysis did not identify novel low-frequency variants associated with VTE risk.
- Larger sample sizes and whole-genome sequence data may be required to discover rare variants influencing VTE susceptibility.
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