Simulating models of development under plausible gene-environment interplay
In collaboration with Dr. Daniel Briley and Dr. Jonathan Livengood, we are developing simulations to explore how various models of gene-environment correlation and interaction may unfold over time, leading to patterns similar to those observed in "real world" datasets. This project is a sub-award of the Genetics & Human Agency project funded by the Templeton Foundation.
We are in the process of building a web portal for a new, entirely Internet-based twin study. EPIC Twins will focus on assessments that have been historically under-investigated in the behavior genetic literature, such as positive outcomes, responses to experimental paradigms, and geographic variation, as well as provide an interactive and engaging space for twins to learn about how their participation helps advance psychological science.
Gene-by-Environment Interactions, Social Stress, and Depression in Older Adults
We are funded by the National Institute on Aging to collaborate with Dr. Mark Whisman of the University of Colorado Boulder to examine genetic and social vulnerability factors for depression in the University of Michigan's Health and Retirement Study.
Meta-analysis center for the Social Science Genetic Association Consortium
The EPIC lab is partnering with researchers from around the world to conduct large-scale meta-analyses of genome-wide association studies (GWAS) of behavioral outcomes. We are currently involved in projects examining educational attainment and subjective well-being. Dr. Derringer previously served as a meta-analyst for the SSGAC's initial project examining genetic influence on educational attainment, which was published in Science.