Siming Zhao News Today

<p>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 <em>Nature Genetics</em>, 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.</p>

 E-Mail New Haven, Conn. -- In a new study, Yale Cancer Center researchers have defined the genetic landscape of uterine leiomyosarcomas (uLMS). Furthermore, using fully sequenced patient-derived xenografts, the team has preclinically validated new treatment modalities, which may point to new treatments for uterine cancer. Study results were published online in an early edition of the Proceedings of the National Academy of Science (PNAS). Uterine cancer is the most common gynecologic malignan...