Professor Saonli Basu

These researchers use powerful statistical approaches for heritability estimation, estimating genetic correlation and performing prediction and Mendelian Randomization using genome-wide data on families and unrelated individuals. Their approaches will provide insights into the complex interplay between genes and environmental factors in the development of a disease. The researchers will implement these approaches on a dataset from the Minnesota Center for Twin and Family Research (MCTFR), a longitudinal prospective study of families to characterize the nature of gene-environment interplay in the development of substance use disorders. The methods will also be implemented on UK Biobank datasets.