Challenges to globalizing genetic predictions of health and disease
Genome-wide association studies (GWAS) have given us unprecedented insight into heritable traits and diseases. However, because the vast majority of studies… Read more »
Michelle Kim is a PhD student in the Bioinformatics Program at Georgia Institute of Technology. Her research focuses on understanding how genetic disease risks are misestimated across populations and ways to correct for these misestimations.
Dr. Joseph Lachance is an assistant professor in the School of Biological Sciences at Georgia Institute of Technology. He is a population geneticist whose research bridges the gap between evolutionary biology and genetic epidemiology. This involves integrating large genome-scale datasets with mathematical models of evolution. His research is motivated by the following questions: How have hereditary disease risks evolved in the recent past? What sorts of genetic architectures are more likely to result in health inequities? How can the benefits of genomic medicine be extended to individuals with diverse ancestries?
Dr. Joseph Lachance is an assistant professor in the School of Biological Sciences at Georgia Institute of Technology. He is a population geneticist whose research bridges the gap between evolutionary biology and genetic epidemiology. This involves integrating large genome-scale datasets with mathematical models of evolution. His research is motivated by the following questions: How have hereditary disease risks evolved in the recent past? What sorts of genetic architectures are more likely to result in health inequities? How can the benefits of genomic medicine be extended to individuals with diverse ancestries?
Latest posts by Michelle Kim & Dr. Joseph Lachance (see all)
- Challenges to globalizing genetic predictions of health and disease - 14th November 2018