Scientists Develop Statistical Tool to Identify Disease Causing Genes
Scientists Develop Statistical Tool to Identify Disease Causing Genes
Researchers at the University of Chicago have created a statistical tool that improves the identification of disease causing genes and variants.
The tool combines data from genome-wide association studies (GWAS) and gene expression predictions.
By integrating these two types of data, the tool is able to shift the analysis from association to causation, providing a more accurate understanding of the genes and variants that contribute to diseases.
Author's Take
Scientists at the University of Chicago have developed a statistical tool that combines data from GWAS and gene expression predictions, enabling a more accurate identification of disease causing genes. This tool has the potential to significantly advance our unde...