The Genetically Informed Neurobiology of Addiction (GINA) model
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 undergirdi...
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| Veröffentlicht in: | Nature reviews. Neuroscience 2023-01, Vol.24 (1), p.40-57 |
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| creator | Bogdan, Ryan Hatoum, Alexander S. Johnson, Emma C. Agrawal, Arpana |
| description | 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.
Bogdan and colleagues consider how the findings of recent genome-wide association studies of substance use and addiction risk can be integrated with our current understanding of the neurobiological contributions to substance use disorders, and propose a new genetically informed model of addiction. |
| doi_str_mv | 10.1038/s41583-022-00656-8 |
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Bogdan and colleagues consider how the findings of recent genome-wide association studies of substance use and addiction risk can be integrated with our current understanding of the neurobiological contributions to substance use disorders, and propose a new genetically informed model of addiction.</description><identifier>ISSN: 1471-003X</identifier><identifier>ISSN: 1471-0048</identifier><identifier>EISSN: 1471-0048</identifier><identifier>EISSN: 1469-3178</identifier><identifier>DOI: 10.1038/s41583-022-00656-8</identifier><identifier>PMID: 36446900</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/208/726 ; 631/378/1689/5 ; Abstinence ; Addictions ; Animal Genetics and Genomics ; Behavior, Addictive - genetics ; Behavioral Sciences ; Biological Techniques ; Biomedical and Life Sciences ; Biomedicine ; Brain research ; Dopamine ; Drug addiction ; Drug use ; Drug withdrawal ; Executive function ; Genome-wide association studies ; Genome-Wide Association Study ; Homeostasis ; Humans ; Intoxication ; Liability ; Life span ; Nervous system ; Neural networks ; Neurobiology ; Neurosciences ; Perspective ; Physiology ; Polygenic inheritance ; Positive reinforcement ; Socioeconomic factors ; Substance use ; Substance-Related Disorders - genetics</subject><ispartof>Nature reviews. Neuroscience, 2023-01, Vol.24 (1), p.40-57</ispartof><rights>Springer Nature Limited 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2022. Springer Nature Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-db4afbbcb6ed3c089b5eb639036d17ef88d51df5a5b726b8e6fa81bd7b2feb523</citedby><cites>FETCH-LOGICAL-c431t-db4afbbcb6ed3c089b5eb639036d17ef88d51df5a5b726b8e6fa81bd7b2feb523</cites><orcidid>0000-0002-0313-793X ; 0000-0003-0394-777X ; 0000-0002-1430-1045 ; 0000-0002-8002-7267</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41583-022-00656-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41583-022-00656-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36446900$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bogdan, Ryan</creatorcontrib><creatorcontrib>Hatoum, Alexander S.</creatorcontrib><creatorcontrib>Johnson, Emma C.</creatorcontrib><creatorcontrib>Agrawal, Arpana</creatorcontrib><title>The Genetically Informed Neurobiology of Addiction (GINA) model</title><title>Nature reviews. Neuroscience</title><addtitle>Nat Rev Neurosci</addtitle><addtitle>Nat Rev Neurosci</addtitle><description>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.
Bogdan and colleagues consider how the findings of recent genome-wide association studies of substance use and addiction risk can be integrated with our current understanding of the neurobiological contributions to substance use disorders, and propose a new genetically informed model of addiction.</description><subject>631/208/726</subject><subject>631/378/1689/5</subject><subject>Abstinence</subject><subject>Addictions</subject><subject>Animal Genetics and Genomics</subject><subject>Behavior, Addictive - genetics</subject><subject>Behavioral Sciences</subject><subject>Biological Techniques</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain research</subject><subject>Dopamine</subject><subject>Drug addiction</subject><subject>Drug use</subject><subject>Drug withdrawal</subject><subject>Executive function</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Homeostasis</subject><subject>Humans</subject><subject>Intoxication</subject><subject>Liability</subject><subject>Life span</subject><subject>Nervous system</subject><subject>Neural networks</subject><subject>Neurobiology</subject><subject>Neurosciences</subject><subject>Perspective</subject><subject>Physiology</subject><subject>Polygenic inheritance</subject><subject>Positive reinforcement</subject><subject>Socioeconomic factors</subject><subject>Substance use</subject><subject>Substance-Related Disorders - genetics</subject><issn>1471-003X</issn><issn>1471-0048</issn><issn>1471-0048</issn><issn>1469-3178</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kUtPGzEQx62qFY-UL9BDtVIvcFgYrx_rnFCE2hAJwSWVuFn2ehwWbdbU3q2Ub19DIDwOPXms-c1_Hn9CvlE4pcDUWeJUKFZCVZUAUshSfSIHlNc0f7n6vIvZ7T45TOkegEpayz2yzyTncgpwQM6Xd1jMscehbUzXbYpF70NcoyuucYzBtqELq00RfDFzrm2GNvTF8XxxPTsp1sFh95V88aZLePT8TsjvXz-XF5fl1c18cTG7KhvO6FA6y423trESHWtATa1AK9kUmHS0Rq-UE9R5YYStK2kVSm8Uta62lUcrKjYh51vdh9Hm6Rrsh2g6_RDbtYkbHUyr32f69k6vwl9N8y2o5DIrHD8rxPBnxDTodZsa7DrTYxiTrmrOBNSgIKM_PqD3YYx93i9TQgAFOWWZqrZUE0NKEf1uGgr60SC9NUhng_STQVrlou9v99iVvDiSAbYFUk71K4yvvf8j-w-pAJvB</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Bogdan, Ryan</creator><creator>Hatoum, Alexander S.</creator><creator>Johnson, Emma C.</creator><creator>Agrawal, Arpana</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0313-793X</orcidid><orcidid>https://orcid.org/0000-0003-0394-777X</orcidid><orcidid>https://orcid.org/0000-0002-1430-1045</orcidid><orcidid>https://orcid.org/0000-0002-8002-7267</orcidid></search><sort><creationdate>20230101</creationdate><title>The Genetically Informed Neurobiology of Addiction (GINA) model</title><author>Bogdan, Ryan ; Hatoum, Alexander S. ; Johnson, Emma C. ; Agrawal, Arpana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-db4afbbcb6ed3c089b5eb639036d17ef88d51df5a5b726b8e6fa81bd7b2feb523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>631/208/726</topic><topic>631/378/1689/5</topic><topic>Abstinence</topic><topic>Addictions</topic><topic>Animal Genetics and Genomics</topic><topic>Behavior, Addictive - genetics</topic><topic>Behavioral Sciences</topic><topic>Biological Techniques</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Brain research</topic><topic>Dopamine</topic><topic>Drug addiction</topic><topic>Drug use</topic><topic>Drug withdrawal</topic><topic>Executive function</topic><topic>Genome-wide association studies</topic><topic>Genome-Wide Association Study</topic><topic>Homeostasis</topic><topic>Humans</topic><topic>Intoxication</topic><topic>Liability</topic><topic>Life span</topic><topic>Nervous system</topic><topic>Neural networks</topic><topic>Neurobiology</topic><topic>Neurosciences</topic><topic>Perspective</topic><topic>Physiology</topic><topic>Polygenic inheritance</topic><topic>Positive reinforcement</topic><topic>Socioeconomic factors</topic><topic>Substance use</topic><topic>Substance-Related Disorders - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bogdan, Ryan</creatorcontrib><creatorcontrib>Hatoum, Alexander S.</creatorcontrib><creatorcontrib>Johnson, Emma C.</creatorcontrib><creatorcontrib>Agrawal, Arpana</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Complete (ProQuest Database)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature reviews. Neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bogdan, Ryan</au><au>Hatoum, Alexander S.</au><au>Johnson, Emma C.</au><au>Agrawal, Arpana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Genetically Informed Neurobiology of Addiction (GINA) model</atitle><jtitle>Nature reviews. Neuroscience</jtitle><stitle>Nat Rev Neurosci</stitle><addtitle>Nat Rev Neurosci</addtitle><date>2023-01-01</date><risdate>2023</risdate><volume>24</volume><issue>1</issue><spage>40</spage><epage>57</epage><pages>40-57</pages><issn>1471-003X</issn><issn>1471-0048</issn><eissn>1471-0048</eissn><eissn>1469-3178</eissn><abstract>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.
Bogdan and colleagues consider how the findings of recent genome-wide association studies of substance use and addiction risk can be integrated with our current understanding of the neurobiological contributions to substance use disorders, and propose a new genetically informed model of addiction.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>36446900</pmid><doi>10.1038/s41583-022-00656-8</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-0313-793X</orcidid><orcidid>https://orcid.org/0000-0003-0394-777X</orcidid><orcidid>https://orcid.org/0000-0002-1430-1045</orcidid><orcidid>https://orcid.org/0000-0002-8002-7267</orcidid></addata></record> |
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| subjects | 631/208/726 631/378/1689/5 Abstinence Addictions Animal Genetics and Genomics Behavior, Addictive - genetics Behavioral Sciences Biological Techniques Biomedical and Life Sciences Biomedicine Brain research Dopamine Drug addiction Drug use Drug withdrawal Executive function Genome-wide association studies Genome-Wide Association Study Homeostasis Humans Intoxication Liability Life span Nervous system Neural networks Neurobiology Neurosciences Perspective Physiology Polygenic inheritance Positive reinforcement Socioeconomic factors Substance use Substance-Related Disorders - genetics |
| title | The Genetically Informed Neurobiology of Addiction (GINA) model |
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