New tool improves the search for genes that cause diseases
A new statistical tool developed by researchers at the University of Chicago improves the ability to find genetic variants that cause disease. The tool, described in a new paper published January 26, 2024, in Nature Genetics, combines data from genome wide association studies (GWAS) and predictions of genetic expression to limit the number of false positives and more accurately identify causal genes and variants for a disease.
GWAS is a commonly used approach to try to identify genes associated with a range of human traits, including most common diseases. Researchers compare genome sequences ...














