Vereczkei Andrea, Barta Csaba, Magi Anna, Farkas Judit, Eisinger Andrea, Király Orsolya, Belik Andrea, Griffiths Mark D, Szekely Anna, Sasvári-Székely Mária, Urbán Róbert, Potenza Marc N, Badgaiyan Rajendra D, Blum Kenneth, Demetrovics Zsolt, Kotyuk Eszter
Department of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, 1094 Budapest, Hungary.
Institute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, Hungary.
J Pers Med. 2022 Apr 26;12(5):690. doi: 10.3390/jpm12050690.
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 ( = 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.
流行病学和现象学研究表明，多种成瘾行为之间存在共同的潜在因素。本基因关联研究是成瘾心理和遗传因素研究（N = 3003）的一部分，旨在调查不同物质使用、成瘾行为和其他强迫行为之间的基因重叠情况。关联分析针对32个单核苷酸多态性、潜在成瘾物质（酒精、烟草、大麻和其他药物）以及潜在成瘾或强迫行为（互联网使用、游戏、社交网站使用、赌博、运动、拔毛和饮食）。分析揭示了29个名义上显著的关联，其中9个在经FDR校正后仍具有统计学意义。在FOXN3 rs759364与潜在成瘾行为之间观察到4个关联：rs759364与饮酒频率以及评估网络成瘾、游戏障碍和运动成瘾的量表平均得分相关。在GDNF rs1549250、rs2973033、CNR1 rs806380、DRD2/ANKK1 rs1800497变异体与“终生使用其他药物”变量之间发现了显著关联。这些结果表明，遗传因素可能对特定物质使用和成瘾行为有类似的影响。具体而言，FOXN3 rs759364以及GDNF rs1549250和rs2973033可能构成多种成瘾行为的遗传风险因素。由于存在局限性（例如便利抽样、缺乏物质使用的结构化量表），需要进一步研究。还应研究这些关系背后的功能相关性和机制。
