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Predicting Substance Use Disorders: A Multifactorial Risk Index Combining Clinical, Environmental, and Genetic Risk Factors
Contributors:
Affiliated institutions:
Virginia Commonwealth University
- Peter Barr
- Mallory Stephenson
- Jessica E Salvatore
- Danielle Dick
- Alexis Edwards
- Fazil Aliev
- Morgan Driver
- Sally I Kuo
- Richard Karlsson Linnér
- Kathryn Paige Harden
- Jacquelyn L Meyers
- Grace Chan
- Andrey P. Anokhin
- Sivan Kinreich
- Howard J. Edenberg
- Meredith W. Francis
- Marc A. Schuckit
- Antti Latvala
- Sam Kuperman
- Martin H. Plawecki
- Bernice Porjesz
- Kathleen Bucholz
- Abraham A Palmer
- Jaakko Kaprio
- Richard J. Rose
- Chella Kamarajan
- John Kramer
Date created: | Last Updated:
: DOI | ARK
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Category: Project
Description: The current analysis will examine the joint effect of early life risk factors (environmental, clinical, and behavioral) and genetic liability in the form of polygenic risk scores for predicting SUDs in adulthood across four longitudinal cohorts.
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