TY - JOUR
T1 - The Genetically Informed Neurobiology of Addiction (GINA) model
AU - Bogdan, Ryan
AU - Hatoum, Alexander S.
AU - Johnson, Emma C.
AU - Agrawal, Arpana
N1 - Publisher Copyright:
© 2022, Springer Nature Limited.
PY - 2023/1
Y1 - 2023/1
N2 - Addictions are heritable and unfold dynamically across the lifespan. One prominent neurobiological theory proposes that substance-induced changes in neural circuitry promote the progression of addiction. Genome-wide association studies have begun to characterize the polygenic architecture undergirding addiction liability and revealed that genetic loci associated with risk can be divided into those associated with a general broad-spectrum liability to addiction and those associated with drug-specific addiction risk. In this Perspective, we integrate these genomic findings with our current understanding of the neurobiology of addiction to propose a new Genetically Informed Neurobiology of Addiction (GINA) model.
AB - Addictions are heritable and unfold dynamically across the lifespan. One prominent neurobiological theory proposes that substance-induced changes in neural circuitry promote the progression of addiction. Genome-wide association studies have begun to characterize the polygenic architecture undergirding addiction liability and revealed that genetic loci associated with risk can be divided into those associated with a general broad-spectrum liability to addiction and those associated with drug-specific addiction risk. In this Perspective, we integrate these genomic findings with our current understanding of the neurobiology of addiction to propose a new Genetically Informed Neurobiology of Addiction (GINA) model.
UR - http://www.scopus.com/inward/record.url?scp=85142931751&partnerID=8YFLogxK
U2 - 10.1038/s41583-022-00656-8
DO - 10.1038/s41583-022-00656-8
M3 - Article
C2 - 36446900
AN - SCOPUS:85142931751
SN - 1471-003X
VL - 24
SP - 40
EP - 57
JO - Nature Reviews Neuroscience
JF - Nature Reviews Neuroscience
IS - 1
ER -