A Multivariate Mediation and Deep Learning Framework for Genome-Connectome -Substance Use Research
Description: Nicotine addiction is a worldwide public health priority and imposing health and economic burden on millions of individuals and families. This proposal seeks to identify how multiple genetic variants interactively influence the nicotine addiction through impacting brain circuitries. The improved understanding of genome-connectome pathways of addiction could lead to more effective treatment and prevention.
Funder: National Institute on Drug Abuse
Funding type: grant
Funder scheme: DP1
Start date: 2019-09-01
End date: 2025-08-31
Investigator: SHUO CHEN
Institution: UNIVERSITY OF MARYLAND BALTIMORE
Funded outputs count: 68
Funder award ID: DP1DA048968
OpenAlex ID: G3060998227