Duke Study Highlights Need for New Tools to Correlate Common and Rare Variants in GWAS Analysis

The team's findings suggest that new tools will be needed to search "larger than expected areas" of the genome and to allow researchers to explore the correlation between rare and common variants in GWAS data.

Full-text access for premium subscribers only. Existing premium subscribers login here.
New to GenomeWeb? Register here quickly.