FAU Receives NSF Grant to Explore Trait Evolution Across Species

The NSF grant will enable scientists to elucidate trait evolution across species using statistical and supervised machine learning approaches to vigorously and accurately predict general and specific evolutionary mechanisms that also will be applicable to various genomic and transcriptomic data for evolutionary discovery.

UCLA Health receives $4.8M NIH grant to improve genetic estimates of disease risk in diverse populations

UCLA Health will receive a $4.8 million grant from The National Institutes of Health to develop methods that will improve genetic risk estimates – polygenic risk scores – for specific diseases in people from diverse populations and mixed ancestries.

Genetic Ancestry Versus Race Can Provide Specific, Targeted Insights to Predict and Treat Many Diseases

The complex patterns of genetic ancestry uncovered from genomic data in health care systems can provide valuable insights into both genetic and environmental factors underlying many common and rare diseases, according to a team of Mount Sinai researchers.