Registration link https://zoom.us/webinar/register
In traditional predictive genetic testing, single gene variants are analyzed to determine whether individuals are at high risk of developing disease. The vast majority of diseases, however, are polygenic—caused by many different genes. Polygenic risk scores (PRS) hold promise to predict risk for complex diseases like heart disease or diabetes by measuring the contribution of hundreds of genetic variants at once. Yet beyond prediction of medical outcomes, the realm of ‘sociogenomics’ is developing polygenic scores (PGS) measuring genetic contributions to social traits and behavioral factors, such as income, educational attainment, sexuality, and optimism. This presentation will present initial findings of a newly-funded NIH grant to study these complex scores.
