FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive Behaviors
Epidemiological and phenomenological studies suggest shared underpinnings between multiple addictive behaviors. The present genetic association study was conducted as part of the Psychological and Genetic Factors of Addictions study (<i>n</i> = 3003) and aimed to investigate genetic over...
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MDPI AG
2022-04-01
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Online Access: | https://www.mdpi.com/2075-4426/12/5/690 |
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author | Andrea Vereczkei Csaba Barta Anna Magi Judit Farkas Andrea Eisinger Orsolya Király Andrea Belik Mark D. Griffiths Anna Szekely Mária Sasvári-Székely Róbert Urbán Marc N. Potenza Rajendra D. Badgaiyan Kenneth Blum Zsolt Demetrovics Eszter Kotyuk |
author_facet | Andrea Vereczkei Csaba Barta Anna Magi Judit Farkas Andrea Eisinger Orsolya Király Andrea Belik Mark D. Griffiths Anna Szekely Mária Sasvári-Székely Róbert Urbán Marc N. Potenza Rajendra D. Badgaiyan Kenneth Blum Zsolt Demetrovics Eszter Kotyuk |
author_sort | Andrea Vereczkei |
collection | DOAJ |
description | Epidemiological and phenomenological studies suggest shared underpinnings between multiple addictive behaviors. The present genetic association study was conducted as part of the Psychological and Genetic Factors of Addictions study (<i>n</i> = 3003) and aimed to investigate genetic overlaps between different substance use, addictive, and other compulsive behaviors. Association analyses targeted 32 single-nucleotide polymorphisms, potentially addictive substances (alcohol, tobacco, cannabis, and other drugs), and potentially addictive or compulsive behaviors (internet use, gaming, social networking site use, gambling, exercise, hair-pulling, and eating). Analyses revealed 29 nominally significant associations, from which, nine survived an FDRbl correction. Four associations were observed between FOXN3 rs759364 and potentially addictive behaviors: rs759364 showed an association with the frequency of alcohol consumption and mean scores of scales assessing internet addiction, gaming disorder, and exercise addiction. Significant associations were found between GDNF rs1549250, rs2973033, CNR1 rs806380, DRD2/ANKK1 rs1800497 variants, and the “lifetime other drugs” variable. These suggested that genetic factors may contribute similarly to specific substance use and addictive behaviors. Specifically, FOXN3 rs759364 and GDNF rs1549250 and rs2973033 may constitute genetic risk factors for multiple addictive behaviors. Due to limitations (e.g., convenience sampling, lack of structured scales for substance use), further studies are needed. Functional correlates and mechanisms underlying these relationships should also be investigated. |
first_indexed | 2024-03-10T03:36:51Z |
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language | English |
last_indexed | 2024-03-10T03:36:51Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
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series | Journal of Personalized Medicine |
spelling | doaj.art-93788f283af14fc898f6957c413e210d2023-11-23T11:43:13ZengMDPI AGJournal of Personalized Medicine2075-44262022-04-0112569010.3390/jpm12050690FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive BehaviorsAndrea Vereczkei0Csaba Barta1Anna Magi2Judit Farkas3Andrea Eisinger4Orsolya Király5Andrea Belik6Mark D. Griffiths7Anna Szekely8Mária Sasvári-Székely9Róbert Urbán10Marc N. Potenza11Rajendra D. Badgaiyan12Kenneth Blum13Zsolt Demetrovics14Eszter Kotyuk15Department of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, 1094 Budapest, HungaryDepartment of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, 1094 Budapest, HungaryInstitute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, HungaryInstitute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, HungaryInstitute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, HungaryInstitute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, HungaryDepartment of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, 1094 Budapest, HungaryInternational Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham NG1 4FQ, UKInstitute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, HungaryDepartment of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, 1094 Budapest, HungaryInstitute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, HungaryDepartments of Psychiatry, Child Study and Neuroscience, Yale University School of Medicine, New Haven, CT 06511, USADepartment of Psychiatry, Ichan School of Medicine at Mount Sinai, New York, NY 10029, USADivision of Addiction Research & Education, Center for Psychiatry, Medicine, & Primary Care (Office of the Provost), Western University Health Sciences, Pomona, CA 91766, USAInstitute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, HungaryInstitute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, HungaryEpidemiological and phenomenological studies suggest shared underpinnings between multiple addictive behaviors. The present genetic association study was conducted as part of the Psychological and Genetic Factors of Addictions study (<i>n</i> = 3003) and aimed to investigate genetic overlaps between different substance use, addictive, and other compulsive behaviors. Association analyses targeted 32 single-nucleotide polymorphisms, potentially addictive substances (alcohol, tobacco, cannabis, and other drugs), and potentially addictive or compulsive behaviors (internet use, gaming, social networking site use, gambling, exercise, hair-pulling, and eating). Analyses revealed 29 nominally significant associations, from which, nine survived an FDRbl correction. Four associations were observed between FOXN3 rs759364 and potentially addictive behaviors: rs759364 showed an association with the frequency of alcohol consumption and mean scores of scales assessing internet addiction, gaming disorder, and exercise addiction. Significant associations were found between GDNF rs1549250, rs2973033, CNR1 rs806380, DRD2/ANKK1 rs1800497 variants, and the “lifetime other drugs” variable. These suggested that genetic factors may contribute similarly to specific substance use and addictive behaviors. Specifically, FOXN3 rs759364 and GDNF rs1549250 and rs2973033 may constitute genetic risk factors for multiple addictive behaviors. Due to limitations (e.g., convenience sampling, lack of structured scales for substance use), further studies are needed. Functional correlates and mechanisms underlying these relationships should also be investigated.https://www.mdpi.com/2075-4426/12/5/690addictive behaviorsgenetic association analysissubstance usesubstance-related disorders<i>FOXN3</i><i>GDNF</i> |
spellingShingle | Andrea Vereczkei Csaba Barta Anna Magi Judit Farkas Andrea Eisinger Orsolya Király Andrea Belik Mark D. Griffiths Anna Szekely Mária Sasvári-Székely Róbert Urbán Marc N. Potenza Rajendra D. Badgaiyan Kenneth Blum Zsolt Demetrovics Eszter Kotyuk FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive Behaviors Journal of Personalized Medicine addictive behaviors genetic association analysis substance use substance-related disorders <i>FOXN3</i> <i>GDNF</i> |
title | FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive Behaviors |
title_full | FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive Behaviors |
title_fullStr | FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive Behaviors |
title_full_unstemmed | FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive Behaviors |
title_short | FOXN3 and GDNF Polymorphisms as Common Genetic Factors of Substance Use and Addictive Behaviors |
title_sort | foxn3 and gdnf polymorphisms as common genetic factors of substance use and addictive behaviors |
topic | addictive behaviors genetic association analysis substance use substance-related disorders <i>FOXN3</i> <i>GDNF</i> |
url | https://www.mdpi.com/2075-4426/12/5/690 |
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